Amazon Managed Service for Prometheus now provides Alert Manager & b291dbf7d22b20604e8f5df7230df37f6d6e3c36,"Thu, 15 Sep 2022 17:37:29 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/09/appflow-now-supports-deleting-records-salesforce/, AppFlow now supports deleting records in Salesforce,"
Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports deleting records in Salesforce. Customers of Amazon AppFlow may now execute Amazon Appflow flows which delete targeted records in a destination Salesforce instance. " d06790162e20233de5349f947eb1e01768213ea7,"Wed, 14 Sep 2022 19:10:23 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-customer-profiles-supports-amazon-appflow-connectors/, Amazon Connect Customer Profiles now supports Amazon AppFlow connectors,"
Amazon Connect Customer Profiles is " c061d919a0ad7d3206ebfa0c3312e2a9c44678d0,"Tue, 30 Aug 2022 22:07:12 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/appflow-supports-salesforce-version-55-0-additional-aws-privatelink-regions/,AppFlow now supports Salesforce version 55.0 and additional AWS PrivateLink regions,"
Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Salesforce API version 55.0 which is the latest API in the Salesforce Summer ’22 release.
" 087b8b0e37a797704de15a765f99b356a2cb0846,"Mon, 29 Aug 2022 17:23:34 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-appflow-supports-jira-cloud-source/, Amazon AppFlow now supports Jira Cloud as a source,"Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Jira Cloud as a source.
" adf2cb224da49ef9882fd286481d73bae152f4c1,"Thu, 11 Aug 2022 19:05:16 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-appflow-supports-data-sap-applications-aws-services-operational-data-provisioning/, Amazon AppFlow now supports data transfers from SAP applications to AWS Services using SAP Operational Data Provisioning (ODP),"Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports data transfers from SAP applications to AWS Services using SAP Operational Data Provisioning (ODP) framework. With this launch AppFlow customers can use the AppFlow SAP OData connector to perform full and incremental data transfers, including Change Data Capture using SAP Operational Delta Queue, from SAP ERP/BW applications (including ECC, BW, BW/4HANA and S/4HANA) to AWS services such as Amazon S3.
" 628ef1e8002256406a750ae92dee766d5fad2b2b,"Thu, 11 Aug 2022 20:54:16 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-appflow-supports-zendesk-chat-sell-sources/, Amazon AppFlow now supports Zendesk Chat and Zendesk Sell as sources,"Amazon AppFlow, a " 75cf8da5fe172677f5af37e4feffd61a82d5e488,"Fri, 17 Jun 2022 15:30:41 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-appflow-supports-facebook-google-ads-mixpanel-sources/," Amazon AppFlow now supports Facebook Ads, Google Ads, and Mixpanel as sources","
Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Facebook Ads, Google Ads and Mixpanel as sources. With this launch, AppFlow customers can now ingest rich marketing and product analytics data from these sources. Once ingested, customers are able to integrate, enrich, and analyze this data in combination with data from a growing set of AppFlow-connected marketing applications such as Marketo, Salesforce Marketing Cloud, and web analytics applications such as Google Analytics.
Amazon AppFlow, a fully managed integration service that helps customers securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Salesforce Marketing Cloud as a source. Salesforce Marketing Cloud is a leading marketing automation platform for B2B and B2C customers that helps companies deliver relevant, personalized journeys across channels and devices. With this launch, AppFlow customers can now ingest Salesforce Marketing Cloud data such as Campaigns and Activities into AWS where it may be further analyzed and enriched. With this launch, AppFlow is building upon its existing capabilities for data transfer with Salesforce applications.
Amazon AppStream 2.0 now supports real-time audio-video (AV) by seamlessly redirecting local webcam video input to Linux AppStream 2.0 streaming sessions. Previously, this feature is only available when streaming Windows applications and desktops. With real-time AV support available in Linux streaming sessions, your users can collaborate using webcams without having to leave their Linux AppStream 2.0 sessions.
" 1bec2964b27c5af1d505b179c4390c47018d4779,"Fri, 07 Oct 2022 16:33:51 +0000",amazon-appstream-2-0,end-user-computing,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-appstream-2-0-webcams-streaming-linux-applications-desktops/,Amazon AppStream 2.0 now supports webcams while streaming Linux applications and desktops,"Amazon AppStream 2.0 now supports real-time audio-video (AV) by seamlessly redirecting local webcam video input to Linux AppStream 2.0 streaming sessions. Previously, this feature is only available when streaming Windows applications and desktops. With real-time AV support available in Linux streaming sessions, your users can collaborate using webcams without having to leave their Linux AppStream 2.0 sessions.
" 105b67dcdb4b07c77f2bf10351213d8b9ac503b7,"Fri, 07 Oct 2022 16:39:33 +0000",amazon-appstream-2-0,end-user-computing,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-appstream-2-0-supports-linux-images-gui/,Amazon AppStream 2.0 now supports creating Linux Images using Graphical User Interface (GUI),"Amazon AppStream 2.0 adds Graphical User Interface (GUI) support for the Linux Image Assistant tool. With this launch, you can now create Linux AppStream 2.0 images in the similar easy way you create Windows AppStream 2.0 images. The new tool gives you step-by-step visual guidance throughout the entire process, greatly reducing the complexity of creating Linux AppStream 2.0 images.
" 105b67dcdb4b07c77f2bf10351213d8b9ac503b7,"Fri, 07 Oct 2022 16:39:33 +0000",amazon-appstream-2-0,end-user-computing,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-appstream-2-0-supports-linux-images-gui/,Amazon AppStream 2.0 now supports creating Linux Images using Graphical User Interface (GUI),"Amazon AppStream 2.0 adds Graphical User Interface (GUI) support for the Linux Image Assistant tool. With this launch, you can now create Linux AppStream 2.0 images in the similar easy way you create Windows AppStream 2.0 images. The new tool gives you step-by-step visual guidance throughout the entire process, greatly reducing the complexity of creating Linux AppStream 2.0 images.
" f9ee8e6dfc9bfb2a2e53a43fd89b3ef0262d4495,"Wed, 29 Jun 2022 21:18:10 +0000",amazon-appstream-2-0,end-user-computing,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-appstream-2-0-udp-streaming-windows-native-client/,Amazon AppStream 2.0 enables UDP streaming for Windows native client,"Starting today, Amazon AppStream 2.0 introduces support for streaming over UDP, when using the Windows native client. Amazon AppStream 2.0 is a fully managed service that provides non-persistent desktops, and application streaming products to end-users. Previously, you were able to stream over TCP via Windows native client. With your end users now working from home or in different countries compared to your corporate offices, they may operate in sub-optimal network conditions you are unable to control. These network conditions can impact your end users experience and productivity. With UDP streaming your end users will experience a more responsive streaming quality in sub-optimal network conditions, with higher round trip latency.
Amazon AppStream 2.0 is now available in the AWS US East (Ohio) region. You can now deploy AppStream 2.0 for your active workloads, as well as to meet your disaster recovery (DR) and business continuity needs. With this launch, you can deploy General Purpose, Compute Optimized, Memory Optimized, Graphics Design, Graphics Pro and Graphics G4 instances to meet the needs of your users.
Amazon AppStream 2.0 adds new instance sizes stream.standard.xlarge, and stream.standard.2xlarge to the General Purpose instance family. stream.standard.xlarge offers 4 vCPUs and 16 GiB of memory, and stream.standard.2xlarge offers 8 vCPUs and 32 GiB of memory. These new instances provide higher performance options of compute, memory and networking resources for a diverse set of workloads that require more system resources to run effectively. A few examples include Integrated Development Environments, Web Servers and Code Repositories. The new instance sizes are available across all AppStream fleet types Always-On, On-Demand, and Elastic fleets.
" 1cc1687ba080b83083c309c4a73414f7c4a21422,"Thu, 13 Oct 2022 18:26:10 +0000",amazon-athena,analytics,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-athena-announces-upgraded-query-engine/,Amazon Athena announces upgraded query engine,"""Amazon Athena has upgraded its SQL query engine to include the latest features from the Trino open source project. Athena engine version 3 includes over 50 new SQL functions, 30 new features, and more than 90 query performance improvements. With today’s launch, Athena is also introducing a continuous integration approach to open source software management that will improve currency with the Trino and Presto projects so that you get faster access to community improvements, integrated and tuned within the Athena engine.
""" 1cc1687ba080b83083c309c4a73414f7c4a21422,"Thu, 13 Oct 2022 18:26:10 +0000",amazon-athena,analytics,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-athena-announces-upgraded-query-engine/,Amazon Athena announces upgraded query engine,"""Amazon Athena has upgraded its SQL query engine to include the latest features from the Trino open source project. Athena engine version 3 includes over 50 new SQL functions, 30 new features, and more than 90 query performance improvements. With today’s launch, Athena is also introducing a continuous integration approach to open source software management that will improve currency with the Trino and Presto projects so that you get faster access to community improvements, integrated and tuned within the Athena engine.
""" ba1d598210ddcd69372ab4c4a5d926ec1bc89fc6,"Thu, 01 Sep 2022 17:25:59 +0000",amazon-athena,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-athena-available-asia-pacific-jakarta-region/, Amazon Athena is now available in the AWS Asia Pacific (Jakarta) Region,"Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
" 610511513a0813c1584be0e59814fd8625d9876b,"Thu, 21 Jul 2022 19:54:24 +0000",amazon-athena,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-athena-visual-query-analysis-tuning-tools/, Amazon Athena adds visual query analysis and tuning tools,"Amazon Athena users can now analyze and tune their queries using interactive, visual tools. Optimizing queries and debugging failures are challenging tasks that often require knowledge of query behavior and a careful approach to tuning query logic. With today’s launch, you can now use the Athena console to analyze your queries with tools that make it simpler to debug errors and improve performance.
Today, Amazon Athena announced enhancements to its console and API which provide more flexibility when using parameterized queries. You can now run parameterized queries directly from the Athena console and an enhanced API that no longer requires you to prepare SQL statements in advance. With today’s launch, it is now easier than before to take advantage of the reusability, simplification, and security benefits of parameterized queries.
The AWS JDBC Driver for PostgreSQL is now generally available for use with your Amazon RDS or Amazon Aurora PostgreSQL-compatible edition database clusters. This wrapper driver is designed to work with the PostgreSQL community driver " a1991d8c7b3785438046a84a361e542e9322c906,"Thu, 13 Oct 2022 21:47:10 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-aurora-postgresql-14-4-version/,Amazon Aurora supports PostgreSQL 14.4 version,"""
Following the announcement of updates to the PostgreSQL database by the open source community, AWS has updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 14.4. PostgreSQL 14.4 fixes an issue that could cause silent data corruption when using the CREATE INDEX CONCURRENTLY " 02797cb9951046ea61d9ba399143231bb5178fe8,"Wed, 05 Oct 2022 19:22:25 +0000",amazon-aurora,serverless,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-aurora-serverless-v2-supports-aws-cloudformation/,Amazon Aurora Serverless v2 now supports AWS CloudFormation,"""
Amazon Aurora Serverless v2, the next version of Aurora Serverless, now supports AWS CloudFormation. You can use AWS CloudFormation templates to deploy and modify Aurora Serverless v2 along with the rest of your AWS infrastructure in a secure, efficient, and repeatable manner. To learn more, read the AWS CloudFormation user guide.
""" 02797cb9951046ea61d9ba399143231bb5178fe8,"Wed, 05 Oct 2022 19:22:25 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-aurora-serverless-v2-supports-aws-cloudformation/,Amazon Aurora Serverless v2 now supports AWS CloudFormation,"""Amazon Aurora Serverless v2, the next version of Aurora Serverless, now supports AWS CloudFormation. You can use AWS CloudFormation templates to deploy and modify Aurora Serverless v2 along with the rest of your AWS infrastructure in a secure, efficient, and repeatable manner. To learn more, read the AWS CloudFormation user guide.
""" 4e72071f6c29bf81689c8fca97de631ec672c73a,"Mon, 26 Sep 2022 21:01:38 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-aurora-supports-in-place-upgrades-mysql-5-7-8-0/,Amazon Aurora supports in-place upgrades from MySQL 5.7 to 8.0,"Starting today, you can perform an in-place upgrade of your Amazon Aurora " 6f326b4c7d67102cf23629a4886905f1dc935550,"Wed, 17 Aug 2022 20:50:09 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-aurora-supports-ipv6/,Amazon Aurora now supports Internet Protocol Version 6 (IPv6),"
Amazon Aurora " 4bfe4c9d5075cfbab6c570f99dd6b6f845b4c2c5,"Tue, 09 Aug 2022 16:22:53 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-aurora-serverless-v1-postgresql-11-in-place-upgrade-postgresql-10/,Amazon Aurora Serverless v1 now supports PostgreSQL 11 and In-Place upgrade from PostgreSQL 10,"
Amazon Aurora Serverless " 10b7c6a24a35b3b90226fa3a5329f18fba2c47ec,"Fri, 15 Jul 2022 16:11:12 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-aurora-postgresql-compatible-edition-r6i-instances/,Amazon Aurora PostgreSQL-compatible edition now supports R6i instances,"
Amazon Aurora " 1bfb15c97a8a075662364c4ca2a0e6ec649f926b,"Wed, 22 Jun 2022 15:51:51 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-aurora-supports-postgresql-14/,Amazon Aurora now supports PostgreSQL 14,"
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 14 (14.3). PostgreSQL 14 " 7941c02d72640c4a1a65f99e63c34dcc06c55188,"Thu, 16 Jun 2022 20:02:58 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-aurora-serverless-v1-in-place-upgrade-mysql-5-6-5-7/,Amazon Aurora Serverless v1 supports in-place upgrade from MySQL 5.6 to 5.7,"
Amazon Aurora Serverless v1 now supports in-place upgrade from MySQL 5.6 to 5.7. Instead of backing up and restoring the database to the new version, you can upgrade with just a few clicks using the Amazon RDS Management Console or using the latest AWS SDK or CLI. No new cluster is created in the process which means you keep the same endpoints and other characteristics of the cluster. The upgrade completes in minutes as no data needs to be copied to a new cluster volume. The upgrade can be applied immediately or during the maintenance window. Your database cluster will be unavailable during the upgrade. Review the Aurora documentation to learn more.
Amazon Aurora PostgreSQL-Compatible Edition now supports the Large Objects (LO) module. The LO module provides support for managing Large Objects (also called LOs or BLOBs).
" 4d7b2e558ae17a2a35fdc327327c8ee88f0c51dd,"Fri, 10 Jun 2022 19:12:26 +0000",amazon-aurora,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-aurora-postgresql-compatible-edition-supports-zero-downtime-patching/, Amazon Aurora PostgreSQL-compatible edition now supports zero-downtime patching,"Amazon Aurora PostgreSQL-compatible edition now supports zero-downtime patching (ZDP). With ZDP, customers can upgrade to a new PostgreSQL version and apply patches to their Aurora cluster without any downtime.
Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 13.7, 12.11, 11.16, and 10.21. These releases contain bug fixes and improvements by the PostgreSQL community. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process.
" 180dcce2aa55dfdad2d87831441830ee31473764,"Fri, 07 Oct 2022 21:26:41 +0000",amazon-chime,business-applications,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-chime-announces-mobile-apps-features-improve-meeting-experience/,Amazon Chime announces new mobile apps with features to improve your meeting experience,"""New versions of the Amazon Chime iOS and Android mobile apps are being rolled out with a new experience designed to improve your Amazon Chime Meetings on mobile devices. This update introduces features that aim to make it easier for you to participate in meetings when you are away from a desk and on the move. The update includes a new roster screen, a new meeting join experience, new meeting controls, performance improvements, and more. " 276588d80021b7a4abd49fd24746eab7f21a27bb,"Thu, 18 Aug 2022 16:50:09 +0000",amazon-chime,business-applications,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-chime-sdk-streaming-ivs-elemental-medialive/, Amazon Chime SDK now supports streaming to Amazon IVS and Elemental MediaLive,"
Amazon Chime SDK announces the launch of live connector pipelines that send real-time video from applications to streaming platforms such as Amazon Interactive Video Service (IVS) or AWS Elemental MediaLive. Amazon Chime SDK enables multi-party video sessions by letting developers add real-time voice and video to their web and mobile apps. Live connector helps to simplify the process of live streaming these sessions through a single API. Customer can send real-time video to streaming platforms such as AWS Elemental MediaLive, Amazon IVS, Twitch, YouTube Live, Facebook Live, and more.
Amazon Chime SDK now supports connecting an open source signaling client implementation in C++. The Amazon Chime SDK lets developers add intelligent real-time audio, video, and screen share to their web and mobile applications. WebRTC is a common library for video conferencing applications, and the Amazon Chime SDK provides WebRTC based media clients in JavaScript, iOS and Android. However, some customers choose to bring their own custom WebRTC library and still want to connect server side to the Amazon Chime SDK.
" 6b2f3a915cdc584d2eecb62a65aed5d4dd45700c,"Thu, 18 Aug 2022 18:14:09 +0000",amazon-chime-sdk,business-applications,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-chime-sdk-video-compositing-merging-concatenation-webrtc-media-capture/, Amazon Chime SDK supports video compositing and merging (concatenation) for WebRTC media capture,"Amazon Chime SDK announces the release of concatenation that helps makes it easy to create a single file by concatenating media chunks including audio, video, content, and transcriptions created by Amazon Chime SDK media capture. Amazon Chime SDK enables multi-party video sessions by letting developers add real-time voice and video to their web and mobile apps. With concatenation, customers can create a single file from a multi-party video session that includes audio, individual or composited video, content, and transcriptions.
The Amazon Chime SDK enables developers to add intelligent real-time audio, video, and screen share to their web and mobile applications. Starting today, Amazon Chime SDK messaging supports large-scale chat experiences for up to one million users with elastic channels. Use cases include watch parties for sporting events, political events, or live entertainment with create elastic channels. Elastic channels help make it easy for you to create secure, scalable, moderated chat experiences for large audiences which you can use with your built in moderation features to help enforce brand, corporate, or community guidelines.
" 9103e9468b96587a9c5fe1ad4423b261f3cf8511,"Thu, 16 Jun 2022 19:56:37 +0000",amazon-chime-sdk,business-applications,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-chime-sdk-supports-100-webcam-video-streams/,Amazon Chime SDK now supports 100 webcam video streams,"The Amazon Chime SDK now supports up to 100 webcam video streams per WebRTC session. The Amazon Chime SDK lets developers add intelligent real-time audio, video, and screen share to their web and mobile applications. Each client application can select up to 25 webcam video streams to display, enabling developers to create immersive video experiences that are bespoke for each user.
" 0e26d7a2113480105c10459577bc1f47dae82d05,"Thu, 09 Jun 2022 22:01:40 +0000",amazon-chime-sdk,business-applications,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-chime-sdk-supports-live-transcription-aws-govcloud-us/, Amazon Chime SDK now supports live transcription in AWS GovCloud (US),"Developers can now use live transcription with Amazon Chime SDK in AWS GovCloud (US) Regions to generate live audio transcriptions. The Amazon Chime SDK lets developers add intelligent real-time audio, video, and screen share to their web and mobile applications. AWS GovCloud (US) allows U.S. government agencies and contractors to move communication workloads into the cloud while addressing their specific regulatory and compliance requirements.
" 3a7dbbfcae4270bcf1ff17e4be3f2783072243ab,"Mon, 06 Jun 2022 21:50:36 +0000",amazon-chime-sdk,business-applications,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-chime-sdk-messaging-conversation-apis/, Amazon Chime SDK announces messaging conversation APIs,"Amazon Chime SDK messaging enables developers to connect business users and their customers with secure, scalable messaging in their web and mobile applications. Starting today, developers have access to new APIs that provide the ability to search for specific channels as well as automatically pre-fetch information when clients connect to display the messaging channels that require users attention when opening their application.
" 0fe23e12a9eea91cf7b8bad9d4e1b57a8d0592f2,"Fri, 26 Aug 2022 17:08:10 +0000",amazon-cloudfront,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-new-edge-locations-vietnam/, AWS announces new edge locations in Vietnam,"Amazon Web Services (AWS) announces expansion in Vietnam by launching new edge locations in Hanoi and Ho Chi Minh. End users served by these new edge locations will see improvements in application availability, security, and performance. The new locations offer edge networking services including Amazon CloudFront and AWS Global Accelerator " 241fc2f9904c1b14577b30e1303416d836e6ce9a,"Thu, 25 Aug 2022 18:13:57 +0000",amazon-cloudfront,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-cloudfront-origin-access-control/, Amazon CloudFront launches Origin Access Control (OAC),"
Amazon CloudFront now offers Origin Access Control, a new feature that enables CloudFront customers to easily secure their S3 origins by permitting only designated CloudFront distributions to access their S3 buckets. Customers can now enable AWS Signature Version 4 " c975cc573444627945f12595648abb2826a672a2,"Mon, 15 Aug 2022 21:51:16 +0000",amazon-cloudfront,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-cloudfront-supports-http-3-quic/,Amazon CloudFront now supports HTTP/3 powered by QUIC,"
Amazon CloudFront now supports HTTP version 3 (HTTP/3) requests over QUIC " 87c1db6a2af5877749ee5f2d9caa6b29e75fb728,"Mon, 11 Jul 2022 16:35:56 +0000",amazon-cloudfront,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-cloudfront-header-names-1024-characters-cloudfront-policies/,Amazon CloudFront supports header names of up to 1024 characters in CloudFront policies,"
Amazon CloudFront now supports a maximum of 1024 characters across all header names in cache, origin request, and origin response policies. With 1024 characters, customers now have 512 extra characters to add header metadata to their policies.
" 69ff6c370d7b10f16f791127957cd56dbf4fe9d3,"Tue, 07 Jun 2022 17:51:20 +0000",amazon-cloudfront,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-cloudfront-supports-tls-1-3-session-resumption-viewer-connections/,Amazon CloudFront now supports TLS 1.3 session resumption for viewer connections,"Amazon CloudFront now supports Transport Layer Security (TLS) 1.3 session resumption to further improve viewer connection performance. Until now, Amazon CloudFront has supported version 1.3 of the TLS protocol since 2020 to encrypt HTTPS communications between viewers and CloudFront. Customers that adopted the protocol have seen their connection performance improved by up to 30% compared with previous TLS versions. Starting today, customers that use TLS 1.3 will see up to 50% additional performance improvement thanks to TLS 1.3 session resumption. With session resumption, when a client reconnects to a server with which the client had an earlier TLS connection, the server decrypts the session ticket using a pre-shared key sent by the client and resumes the session. TLS 1.3 session resumption speeds up session establishment as it reduces computational overhead for both the server and the client. It also requires fewer packets to be transferred compared to a full TLS handshake.
" f4923efa1c8c320734611a74568b449757ecf542,"Fri, 07 Oct 2022 21:59:46 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-cloudwatch-log-announces-increased-query-concurrency/,Amazon CloudWatch Log announces increased query concurrency,"""Amazon CloudWatch Logs customers can now run up to 20 concurrent Log Insights queries for their analytic needs. By increasing the number of concurrent queries from 10 to 20, customers can create dashboards with a higher number of Log Insight queries. Additionally, multiple users within the same account can, in the aggregate, execute up to 20 queries at the same time. " f55e4820b373115400f284931fb8f444f8f8f725,"Tue, 27 Sep 2022 17:45:57 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-cloudwatch-container-insights-lifecycle-events-amazon-ecs/, Amazon CloudWatch Container Insights launches lifecycle events for Amazon ECS,"
Amazon CloudWatch Container Insights now provides lifecycle events for Amazon Elastic Container Service (ECS). With Container Insights you can monitor, isolate, and diagnose your containerized applications running on ECS. Now with the addition of lifecycle events, you can easily correlate metrics, logs and events in a single view for more complete operational visibility.
" f7f1379e354dde6861eea24a6e1e3cbd1df8190d,"Wed, 21 Sep 2022 21:19:15 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-cloudwatch-evidently-client-side-evaluations-aws-lambda-aws-appconfig/, Amazon CloudWatch Evidently adds support for Client Side Evaluations for AWS Lambda (powered by AWS AppConfig),"Amazon CloudWatch Evidently adds support for Client Side Evaluations (CSE) for AWS Lambda, powered by AWS AppConfig. Evidently is an application performance monitoring (APM) capability that makes it easier for customers to introduce experiments and launches in their application code. Powered by AppConfig Extensions, Evidently CSE allows application developers to generate feature-evaluations in single-digit milliseconds from within their own Lambda functions. AWS AppConfig, a capability of AWS Systems Manager, allows customers to configure, validate, and deploy feature flags to more safely and quickly update application behavior.
" e48840e40dc9d581af5c7c0463e141b3b858414b,"Mon, 19 Sep 2022 17:52:13 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/easily-install-update-cloudwatch-agent-quick-setup/, Easily install and update the CloudWatch Agent with Quick Setup,"Today, AWS Systems Manager Quick Setup announces support for installing and periodically updating the CloudWatch Agent. With this new launch, you can now easily deploy and keep up to date the CloudWatch Agent in instances across accounts and Regions at scale with a few clicks.
" 7224afa3840cb7a782e23285eccac5f99bc6fc5c,"Tue, 13 Sep 2022 18:32:45 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/monitor-amazon-emr-serverless-applications-near-real-time-cloudwatch-metrics/, Monitor Amazon EMR Serverless applications in near real-time with CloudWatch metrics,"Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for " c982846554b9b7382f4f873571193712d67db0a8,"Thu, 08 Sep 2022 19:20:34 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-backup-amazon-cloudwatch-metrics-console-dashboard/, AWS Backup adds Amazon CloudWatch metrics to its console dashboard,"
AWS Backup now provides you a way to centrally view your Amazon CloudWatch metrics for your data protection jobs directly in the AWS Backup console. With this launch, you can monitor your data protection metrics (of backup, copy, and restore jobs) for all the AWS Backup supported services, spanning compute, storage, databases, and third-party applications. To drill down to a custom view, you can add your tracked metrics to a custom CloudWatch Dashboard using the ""Add to dashboard"" capability.
" ac0a929e8342dc16538e8bfbd426d24cef9b8695,"Tue, 23 Aug 2022 18:42:02 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-location-service-supports-refined-access-control-geofences-tracked-devices/, Amazon Location Service now supports refined access control for geofences and tracked devices,"Amazon Location Service now " 3fc7949cb7c45b5903254ba29f9467f2d8b0ca73,"Fri, 19 Aug 2022 16:51:09 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-site-vpn-connection-logs-amazon-cloudwatch/, Now capture AWS Site-to-Site VPN connection logs using Amazon CloudWatch,"
Today, AWS Site-to-Site VPN enables publishing VPN connection logs to CloudWatch, providing you with deeper visibility into your VPN setup to help you quickly troubleshoot and resolve VPN connectivity issues.
" ffb72cba0677c6dceeb12947e2bce0af34867b8e,"Thu, 18 Aug 2022 21:01:09 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-privatelink-integration-amazon-cloudwatch-contributor-insights/, AWS PrivateLink announces integration with Amazon CloudWatch Contributor Insights,"You can now enable CloudWatch Contributor Insights on your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity service that enables customers to access AWS services, third-party services or internal enterprise services hosted on AWS in a secure and scalable manner while keeping network traffic private. CloudWatch Contributor Insights analyzes time-series data to report the top contributors and number of unique contributors in a dataset.
Amazon CloudWatch Synthetics, an " 9d34167579777f261f0b429ce5bc01e888ec8d5f,"Thu, 11 Aug 2022 18:49:17 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/application-insights-appregistry-support-faster-problem-reporting/, Application Insights adds AppRegistry support and faster problem reporting,"
AWS has further enhanced the monitoring set up experience through Amazon CloudWatch Application Insights' integration with AWS Service Catalog AppRegistry. With this feature, you can now easily select a registered AWS application or register a new one with AppRegistry directly from Application Insights and automatically set up monitoring for the newly registered applications. Registered applications are available for other services that make use of registered applications so you can seamlessly interact with your applications in these AWS services as well.
" cfea95a38dee3d6dd585aa6783a25925efe520a3,"Fri, 05 Aug 2022 17:24:54 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-cloudwatch-evidently-customer-segments-feature-launches-experiments/, Amazon CloudWatch Evidently adds support for creating target customer segments for feature launches and experiments,"Amazon CloudWatch Evidently introduces a new feature that allows customers to define target audience (segment) for experiments or launches using customer defined criteria. For example, customers can choose to run an experiment or launch a feature on a custom segment of Chrome browser users, early adopters of their service or users in a certain geographic region. When launching new features or experiments, customers can configure it to include multiple segments and each segment can be configured to serve one or more variants of the feature, monitor key metrics such as page load times and conversions, then safely dial up traffic for general use.
" 047a26289adba7e90a51b43792b464b20e415a0f,"Wed, 03 Aug 2022 15:23:01 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-cloudwatch-metrics-increases-throughput/,Amazon CloudWatch metrics increases throughput by 150x,"Amazon CloudWatch custom metrics now supports a 50x higher capacity allowing you to send up to 1,000 metrics per call at a 3x faster default call rate and specify 3x more dimensions (up to 30) per metric. Customers rely on CloudWatch custom metrics to capture application-specific data that complements the automatic metrics provided by CloudWatch based on the AWS services you are using. With these improvements, customers can send the same volume of data with fewer API requests, leading to reduced costs.
" db475435e514e84b352513a0b758ad9420be798e,"Thu, 14 Jul 2022 15:15:33 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-announces-appconfig-extensions/, AWS announces AWS AppConfig Extensions,"AWS announces AWS AppConfig Extensions, a new capability that allows customers to enhance and extend the capabilities of feature flags and dynamic runtime configuration data. AWS AppConfig, a capability of AWS Systems Manager, allows customers to configure, validate, and deploy configuration data to more safely and quickly update application behavior. The AppConfig Extensions framework exposes action points along the lifecycle of feature flags and configuration data" 00e5e65e244d5c7be9e00d00b59fd9e63726b40b,"Fri, 03 Jun 2022 19:27:48 +0000",amazon-cloudwatch,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-lookout-metrics-enables-anomaly-detection-historical-cloudwatch-data/, Amazon Lookout for Metrics enables anomaly detection on your historical CloudWatch data,"
Amazon Lookout for Metrics announces the launch of backtesting when using Amazon CloudWatch as a data source connector. Backesting is a new anomaly detection mode you can now select when setting up your detector. You can seamlessly connect to your data in CloudWatch to set up a highly accurate anomaly detector across metrics, dimensions, and namespaces of your choice. Amazon Lookout for Metrics " f4923efa1c8c320734611a74568b449757ecf542,"Fri, 07 Oct 2022 21:59:46 +0000",amazon-cloudwatch-logs,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-cloudwatch-log-announces-increased-query-concurrency/,Amazon CloudWatch Log announces increased query concurrency,"""
Amazon CloudWatch Logs customers can now run up to 20 concurrent Log Insights queries for their analytic needs. By increasing the number of concurrent queries from 10 to 20, customers can create dashboards with a higher number of Log Insight queries. Additionally, multiple users within the same account can, in the aggregate, execute up to 20 queries at the same time. " ec2591b73380194c5112a9a2aeaa987bd00fc574,"Fri, 02 Sep 2022 17:54:29 +0000",amazon-cloudwatch-logs,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-managed-service-prometheus-alert-manager-ruler-logs-available-amazon-cloudwatch-logs/, Amazon Managed Service for Prometheus Alert Manager & Ruler logs now available in Amazon CloudWatch Logs,
Amazon Managed Service for Prometheus now provides Alert Manager & d27f22a12beb3245ff732678fc84cdc16ff6aa2b,"Wed, 29 Jun 2022 20:25:34 +0000",amazon-cloudwatch-logs,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-toolkit-visual-studio-amazon-cloudwatch-logs-integration/, AWS Toolkit for Visual Studio adds Amazon CloudWatch Logs Integration,"
Developers can now access Amazon CloudWatch Logs within Visual Studio using the AWS Toolkit for Visual Studio. Directly from the IDE, it is now possible to search and filter log groups, log streams, and events. Additionally, log groups can be accessed from their associated resources, and log events can be downloaded to a file.
" 3c609d3e1f268b4b6d26251c0a1178011fdb2642,"Fri, 09 Sep 2022 16:58:27 +0000",amazon-cognito,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-cognito-enables-time-based-one-time-password-totp-self-enrollment-hosted-ui/, Amazon Cognito enables time-based-one-time-password (TOTP) self-enrollment in hosted UI,"Amazon Cognito hosted UI now enables end users to register their own authenticator apps. Customers can now enable users to self-enroll in either SMS based one-time-passwords (OTP) or a time-based-one-time-password (TOTP) authenticator app. Administrators no longer have to initiate end user enrollment when using TOTP with hosted UI. With this new addition, developers using hosted UI will now have the same level of security as before, but without having to develop any custom code, enabling them to focus on improving their application. Administrators will now spend less time onboarding end users to a higher level of authentication assurance. End users of the application now also have the convenience of adding their own authenticator apps and leveraging multi-factor authentication (MFA) when accessing applications that use Cognito hosted UI. Customers can benefit from a higher level of authentication for their applications at no additional cost.
You can now enable AWS WAF protections for Amazon Cognito, making it even easier to protect Amazon Cognito user pools and hosted UI from common web exploits. " 174708d47931272b13092ed88dce0e9fe679e05b,"Tue, 07 Jun 2022 16:04:04 +0000",amazon-cognito,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/06/amplify-flutter-supports-customizable-authentication-flows/, New Amplify Flutter supports customizable authentication flows,"
AWS Amplify Flutter introduces support for creating customizable authentication flows, using Amazon Cognito Lambda triggers. Using this functionality, developers are able to setup customizations for the login experience in their Flutter apps, such as creating OTP login flows, or adding CAPTCHA to their Flutter app.
Amazon Comprehend customers can now extract the sentiments associated with entities from text documents in real-time using the newly released synchronous API. Targeted Sentiment synchronous API enables customers to derive granular sentiments associated with specific entities of interest " 9f2c53c68e410cd58a8384239e84d41d3dab3e04,"Wed, 03 Aug 2022 21:17:19 +0000",amazon-comprehend,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-comprehend-lowers-annotation-limits-custom-entry-recognition-models/, AWS Comprehend lowers annotation limits for training custom entity recognition models,"
Amazon Comprehend is making it easier for customers to get started with custom entity recognition by reducing the annotation requirements for training their models. Amazon Comprehend " ae72a1a4cd95f1cb0d5514ec090e60e7ba552ff6,"Thu, 06 Oct 2022 17:03:07 +0000",amazon-connect,messaging,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-connect-reduces-telephony-pricing-across-latam-europe/,Amazon Connect reduces telephony pricing across LATAM and Europe,"
Amazon Connect has reduced prices for Mexico in US East (N. Virginia) and US West (Oregon) regions by 69% for DID Inbound calls from $0.0070 to $0.0022 per minute, 61% for Toll Free Inbound calls from $0.055 to $0.021 per minute and 77% for Outbound calls from $0.033 to $0.0075 per minute.
" df8fcf89fd50719947b04843f0c2edece6d0eb57,"Tue, 27 Sep 2022 16:35:57 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-updated-flows-ui-improved-flow-language/, Amazon Connect launches updated flows UI and improved flow language,"Amazon Connect now has an updated flow designer " c8ce155bfa7243488c3eeb0c14286ae55580da18,"Mon, 26 Sep 2022 17:39:53 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-provides-queue-dashboard/, Amazon Connect now provides a queue dashboard,"
Amazon Connect now provides a dashboard that enables you to view and compare real-time queue performance through time series graphs. You can review key metrics including service level, contacts queued, and average handle time to track and improve queue performance. For example, you can see when the current week service levels are lower than the prior week and determine if this is correlated with an increase in incoming contacts or average handle time to determine and implement corrective actions.
" d06790162e20233de5349f947eb1e01768213ea7,"Wed, 14 Sep 2022 19:10:23 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-customer-profiles-supports-amazon-appflow-connectors/, Amazon Connect Customer Profiles now supports Amazon AppFlow connectors,"Amazon Connect Customer Profiles is " ce8c06984979b2c9e90a30c513e09a5771dfa98e,"Tue, 06 Sep 2022 18:01:38 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-voice-id-detects-fraud-risk-voice-spoofing-customer-calls/, Amazon Connect Voice ID now detects fraud risk from voice spoofing during customer calls,"
Amazon Connect Voice ID now detects fraud risk from voice-based deception techniques such as voice manipulation during customer calls, helping you make your voice interactions more secure. For example, Voice ID can detect, in real-time, if an imposter is using a speech synthesizer to spoof a caller’s voice and bluff the agent or Interactive Voice Response (IVR) system. When such fraud is detected, Voice ID flags these calls as high risk in the Amazon Connect agent application, enabling you to take additional security measures or precautions. This feature works out-of-the-box once Voice ID fraud detection is enabled for a contact, and no additional configuration is required.
" 94fdaac1c1c8cd7ad8d4ef00dc9ff64696a74bab,"Fri, 02 Sep 2022 22:11:33 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-launches-api-search-queues-name-description-tags/," Amazon Connect launches API to search for queues by name, description and tags","Amazon Connect now provides a new API to search for queues in your Amazon Connect instance. This new API provides a programmatic and flexible way to search for queues by name, description, or tags. For example, you can now use this API to search for all queues with “priority” in the description. To learn more about this new API, see the API documentation.
" 22fdb3dcaae9c3f532ec5914eaea6d5ed46710c3,"Fri, 02 Sep 2022 22:03:54 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-api-search-routing-profiles-name-description-tags/," Amazon Connect launches API to search for routing profiles by name, description, and tags.","Amazon Connect now provides a new API to search for routing profiles in your Amazon Connect instance. This new API provides a programmatic and flexible way to search for routing profiles by name, description, or tags. For example, you can now use this API to search for all routing profiles containing “sales” in the description. To learn more about this new API, see the API documentation.
" b4fbd7abe50700c1649d2b3f82d67a93cdc0f8f3,"Fri, 02 Sep 2022 15:43:32 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-connect-aws-cloudformation-support-instance-creation/, Amazon Connect launches AWS CloudFormation support for instance creation,"Amazon Connect now supports AWS CloudFormation " 8a77631fac62d6ebbf27802787de514432ab8cc6,"Thu, 25 Aug 2022 17:11:27 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-connect-ability-configure-business-operation-days-week-capacity-planning/, Amazon Connect launches the ability to configure business operation days per week for capacity planning,"
Amazon Connect now enables you to select and manage which days the contact center is open for the purpose of capacity planning. This new feature is part of Amazon Connect forecasting, capacity planning, and scheduling (preview) that helps you predict contact volumes and average handling time, determine optimal staffing levels, and plan agent schedules to ensure you have the right agents working at the right time.
" ac0a929e8342dc16538e8bfbd426d24cef9b8695,"Tue, 23 Aug 2022 18:42:02 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-location-service-supports-refined-access-control-geofences-tracked-devices/, Amazon Location Service now supports refined access control for geofences and tracked devices,"Amazon Location Service now " 9d0f5ce3207575c2f009ca2fa118782f02f3ab15,"Mon, 22 Aug 2022 16:50:51 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-connect-launches-api-search-security-profiles-permission-description-tags/," Amazon Connect launches API to search for security profiles by permission, description, and tags","
Amazon Connect now provides a new API to search for security profiles in your Amazon Connect instance. This new API provides a programmatic and flexible way to search for security profiles by name, description, permissions, or tags. For example, you can now use this API to search for all security profiles that have permissions to edit contact flows. To learn more about this new API, see the API documentation.
" 8b9aea13171708cfcf71bf36145ce65d345f0305,"Tue, 02 Aug 2022 15:48:37 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-connect-schedule-adherence-preview/," Amazon Connect schedule adherence, now available in preview.","Amazon Connect now includes the ability to report on agent schedule adherence, adding to the existing forecasting, capacity planning, and scheduling capabilities already in preview. With schedule adherence, you can measure how closely agents follow their planned schedule, providing insights that help you take action to improve agent productivity and customer satisfaction. For example, if agents were busier than expected, supervisors can use Amazon Connect schedule adherence to identify agents who forgot to take their breaks and remind them do so in the future to maintain performance and avoid burn out.
" c5486922784110eaad58abc6fa1ea903bde5a3ae,"Mon, 01 Aug 2022 15:19:57 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-connect-historical-actuals-forecasting-ui/, Amazon Connect launches historical actuals in the forecasting UI,"Amazon Connect now enables contact center managers to view historical contact volumes and average handling time (AHT) in the forecasting UI. This new feature is part of Amazon Connect forecasting, capacity planning, and scheduling (preview) that helps contact center managers predict contact volumes and AHT, determine optimal staffing levels, and plan agent schedules to ensure they have the right agents at the right time. The ability to view historical contact volumes in the forecasting UI provides a quick way for contact center managers to identify any abnormality within forecasts and actuals.
Amazon Connect now allows agents to view Contact Lens transcripts, detected issues, and matched categories in the Contact Control Panel (CCP) and the Salesforce CTI Adapter. At the end of a customer call, an agent will see an unredacted call transcript they can reference and copy over needed information into their customer or case notes. The transcript will display contact category labels and issues detected by Contact Lens once the call ends. In addition, if an agent receives a transferred call, they will see a transcript of the prior agent’s conversation with the customer so that they can understand the context of that interaction without needing to repeat themselves.
Amazon Connect Customer Profiles now provides a JavaScript library (CustomerProfilesJS) to integrate " 6b53be9518079643efa35b2b09b7e03dfe1400e2,"Thu, 30 Jun 2022 19:51:22 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-supports-branching-flows-lex-confidence-scores/, Amazon Connect now supports branching of flows based on Lex confidence scores,"
Amazon Connect now allows you to further personalize, the automated self-service customer experience using Amazon Lex intent confidence scores as a branch within your flows. Amazon Lex allows customers to create intelligent chatbots that turn their Amazon Connect flows into natural conversations. By branching flows on Lex confidence scores, you can present the right solutions to your customers to help solve their issues faster. For example, when a confidence score is high you may want to present customers a with a self-service option immediately rather than requesting additional information or transferring them to an agent. This new functionality can be set up using the “Check contact attributes” flow block.
Amazon Connect now allows you to further personalize the automated, self-service customer experience by leveraging Amazon Lex customer sentiment analysis as a branch within your flows. Amazon Lex allows customers to create intelligent chatbots that turn their Amazon Connect flows into natural conversations. With this launch, you can now build flows based on whether the customer expresses positive or negative utterances to your Lex bot. For example, you may want customers who express positive sentiment to be presented with additional upsell opportunities or you may want customers who express negative sentiment to be put directly in queue to speak with an agent. The new functionality can be setup using the “Get Customer Input” or the “Check contact attributes” flow blocks. In addition, all Lex related attributes (e.g., Intent, Slots, Sentiment) within flow blocks are now consolidated under one “type” within attribute selection to help simplify building your Lex experience within flows.
Amazon Connect Customer Profiles now allows you to automatically merge duplicate customer records on confidence scores. Each time the identity resolution feature finds duplicate records, it provides a confidence score on a scale of zero to one to represent the accuracy of a match, where a score of one represents most accurate match and zero represents least accurate match. You can select a threshold anywhere between zero to one to automatically merge duplicate records into a unified customer profile.
" fa00d4119a2178230ab950538c0835021feb36e0,"Thu, 23 Jun 2022 20:27:03 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-wisdom-integrate-agent-assistance-capabilities-applications/, Amazon Connect Wisdom now enables you to integrate agent assistance capabilities into custom agent applications,"Amazon Connect Wisdom " f18a9be9aad04e7e90a62002ecd7e9967c8e522b,"Mon, 20 Jun 2022 19:28:48 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-cases-preview/," Amazon Connect Cases, now available in preview","
Amazon Connect Cases provides built-in case management capabilities that make it easy for your contact center agents to create, collaborate on, and quickly resolve customer issues " 9b57d1c9340afc1cf660a12e5d7c69e1813667f7,"Mon, 20 Jun 2022 19:28:19 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-general-availability-outbound-campaigns-calls-texts-emails/," Amazon Connect offers general availability of outbound campaigns for calls, texts, and emails","
Amazon Connect outbound campaigns now offers organizations an embedded, cost-effective way to contact up to millions of customers daily for communications such as delivery notifications, marketing promotions, appointment reminders, or debt collection, without having to integrate with third-party tools. With outbound campaigns, formerly known as high-volume outbound communications, you can proactively communicate across voice, SMS, and email to quickly serve your customers and improve agent productivity. The new communication capabilities also include features to support compliance of local regulations such as TCPA through point-of-dial checks and calling controls for time of day, time zone, number of attempts per contact, and time required to connect to an available agent.
" f15e78fe63800633de17dfd1e66abc373b5944a7,"Thu, 16 Jun 2022 20:15:17 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-launches-api-retrieve-agents-current-activity/, Amazon Connect launches API to retrieve agents’ current activity,"Amazon Connect now provides an API to programmatically access real-time details about agents’ current activity, such as current status (e.g., “Available”). If an agent is handling a contact, details include the contact’s state (e.g., “Connected” or “Missed”) and duration. Using this API, businesses can build custom dashboards for contact center supervisors to monitor their agents’ activity in real-time. For example, if more agents are needed to handle contacts, you can use this new API to identify agents who are on break the longest and reach out to them to switch to “Available” or change it programmatically using PutUserStatus.
" 6b9cadccc6a949076f0727036dc12f0f55d1c348,"Thu, 16 Jun 2022 21:05:54 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-launches-15-minute-scheduled-reports/,Amazon Connect launches 15 minute scheduled reports,"Amazon Connect now provides the ability for customers to schedule historical metric reports that generate the latest data every 15 minutes. Historical metrics reports include data about completed customer contacts, agent activity, and performance, such as how many contacts an agent handled. This helps customers quickly identify insights into queue, routing profile, and agent performance. These insights can be used in a variety of ways, including evaluating and adjusting contact center forecasting and staffing plans.
" 298292fb26cc55447440140911508a208f3fe386,"Fri, 10 Jun 2022 17:57:36 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-forecasting-capacity-planning-scheduling-sydney/," Amazon Connect forecasting, capacity planning, and scheduling, now available in the Asia Pacific (Sydney) AWS region","Amazon Connect forecasting, capacity planning, and scheduling (preview) are now available in the Asia Pacific (Sydney) AWS region. Machine-learning powered capabilities make it easier for contact center managers to help predict contact volumes and average handle time with high accuracy, determine ideal staffing levels, and optimize agent schedules to ensure they have the right agents at the right time. This helps businesses optimize their operations, meet service level goals, and improve agent and customer satisfaction. Getting started takes just a click, eliminating the need to build custom applications or integrate with third-party products.
" 3d0e820d68137a693bf5fbbe0699a7160f218978,"Wed, 08 Jun 2022 14:46:55 +0000",amazon-connect,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-connect-forecasting-capacity-planning-scheduling-available-europe-london-aws-region/," Amazon Connect forecasting, capacity planning, and scheduling, now available in the Europe (London) AWS Region","Amazon Connect forecasting, capacity planning, and scheduling (preview) are now available in the Europe (London) AWS Region. Machine-learning powered capabilities make it easier for contact center managers to help predict contact volumes and average handle time with high accuracy, determine ideal staffing levels, and optimize agent schedules to ensure they have the right agents at the right time. This helps businesses optimize their operations, meet service level goals, and improve agent and customer satisfaction. Getting started takes just a click, eliminating the need to build custom applications or integrate with third-party products.
" d8da5c0eb3487dac49a25dc99392aefa81b085a6,"Tue, 20 Sep 2022 21:11:11 +0000",amazon-corretto,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-corretto-19-available/,Amazon Corretto 19 is now generally available,"Amazon Corretto 19 is now generally available. This version supports the latest OpenJDK feature release and is available on Linux, Windows, and macOS. You can download Corretto 19 from our downloads page.
" bcd3023766303c3347339c80a0b65322b87b6ea9,"Fri, 07 Oct 2022 16:43:09 +0000",amazon-detective,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-detective-improves-search-case-insensitivity/,Amazon Detective improves search by supporting case insensitivity,"Amazon Detective has improved it’s search capability by adding support for case insensitivity with security findings and entities. You can now conduct security investigations without having to search for exact upper or lowercase characters. For example, if you wanted to search for “Admin” or “admin” logins, you can use either term to show results for all admin logins across data sources that store text such as AWS CloudTrail, Amazon GuardDuty findings, and Amazon EKS audit logs.
" 8d1baf8e238985836bee5a1caf239c92b7a4730f,"Thu, 06 Oct 2022 20:49:59 +0000",amazon-devops-guru,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-devops-guru-allows-customers-control-over-notifications-they-receive/,Amazon DevOps Guru now allows customers control over the notifications they receive,"""Amazon DevOps Guru now provides you controls over the SNS notifications for issues impacting your applications allowing you to limit the notifications you receive. Along with this, DevOps Guru Console will show only ‘High’ and ‘Medium’ severity issues by default. These changes allow you to focus on higher severity issues.
""" 8d1baf8e238985836bee5a1caf239c92b7a4730f,"Thu, 06 Oct 2022 20:49:59 +0000",amazon-devops-guru,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-devops-guru-allows-customers-control-over-notifications-they-receive/,Amazon DevOps Guru now allows customers control over the notifications they receive,"""Amazon DevOps Guru now provides you controls over the SNS notifications for issues impacting your applications allowing you to limit the notifications you receive. Along with this, DevOps Guru Console will show only ‘High’ and ‘Medium’ severity issues by default. These changes allow you to focus on higher severity issues.
""" ec84d8944bd6fe7faafa516746e96a7470dd1685,"Tue, 27 Sep 2022 17:46:57 +0000",amazon-devops-guru,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-devops-guru-available-seven-additional-regions/, Amazon DevOps Guru now available in seven additional regions,"Amazon DevOps Guru " cb708dbca05965050e398c06e98c756e54588af4,"Tue, 27 Sep 2022 18:59:57 +0000",amazon-devops-guru,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-devops-guru-rds-seven-regions/, Amazon DevOps Guru for RDS now available in seven more regions,"
Amazon DevOps Guru for RDS " 1fc4806f3d862c055f3b97e2ee14b5d23372e433,"Tue, 12 Jul 2022 15:31:04 +0000",amazon-devops-guru,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-devops-guru-log-anomaly-detection-recommendations/, Introducing Log Anomaly Detection and Recommendations for Amazon DevOps Guru,"
Today, we are announcing the general availability of a new feature, Log Anomaly Detection and Recommendations for Amazon DevOps Guru. As part of this feature, DevOps Guru will ingest Amazon CloudWatch Logs for AWS resources that make up your application, with Lambda being first. Logs will provide new enrichment data in an insight to enable more accurate understanding of the root cause behind an application issue, and provide more precise remediation steps.
" 2b8907879eb145d09c7bf971e01666164417db1c,"Thu, 16 Jun 2022 21:31:40 +0000",amazon-devops-guru,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/06/enable-amazon-devops-guru-rds-within-amazon-rds-console/, Enable Amazon DevOps Guru for RDS from within the Amazon RDS Console,"Amazon DevOps Guru for RDS " 3483ca953fa3ca2adb4b626058f15fdb5422162c,"Tue, 09 Aug 2022 20:13:17 +0000",amazon-documentdb,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-documentdb-mongo-db-compatibility-decimal128-data-type/,Amazon DocumentDB (with MongoDB compatibility) now supports the Decimal128 data type,"
Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability.
" 6b159033df95a50e3830468472d96e4d6f76d593,"Mon, 08 Aug 2022 20:55:54 +0000",amazon-documentdb,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-documentdb-mongodb-compatibility-dml-query-auditing-amazon-cloudwatch-logs/, Amazon DocumentDB (with MongoDB compatibility) now supports DML query auditing with Amazon CloudWatch Logs,"Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability.
" dec88a27076d0fc7759b5fafb7d30749d59a97b3,"Mon, 25 Jul 2022 21:25:11 +0000",amazon-documentdb,databases,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-documentdb-mongodb-fast-database-cloning/, Amazon DocumentDB (with MongoDB compatibility) now supports fast database cloning,Amazon DocumentDB (with MongoDB compatibility) now allows you to create clones to enable fast creation of a new cluster that uses the same DocumentDB cluster volume and has the same data as the original.
4d534a3aef94676d583f3b764e1e5cafd00af2e5,"Mon, 27 Jun 2022 21:56:39 +0000",amazon-documentdb,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-documentdb-mongodb-dynamic-resizing-storage/, Amazon DocumentDB (with MongoDB compatibility) enables dynamic resizing for storage space,"The storage space allocated to your Amazon DocumentDB (with MongoDB compatibility) " 523b7206a9ef2a0752df8a176e316816ed0cb6f8,"Tue, 06 Sep 2022 17:28:38 +0000",amazon-dynamodb,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-dynamodb-supports-100-actions-per-transaction/,Amazon DynamoDB now supports up to 100 actions per transaction,"
Amazon DynamoDB transactions " 68ee216d5d9f38f373ba676962ea1edfaa8a3440,"Thu, 18 Aug 2022 20:18:09 +0000",amazon-dynamodb,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-dynamodb-supports-bulk-imports-amazon-s3-new-dynamodb-tables/,Amazon DynamoDB now supports bulk imports from Amazon S3 to new DynamoDB tables,"
Amazon DynamoDB now makes it easier for you to migrate and load data into new DynamoDB tables by supporting bulk data imports from Amazon S3. Now, you can import data directly into new tables to help you migrate data from other systems, load test data to help you build new applications, facilitate data sharing between tables and accounts, and simplify your disaster recovery and business continuity plans.
Amazon DynamoDB Standard Infrequent Access " 277d8521f7bd9b5b75617a866af81478675576da,"Wed, 15 Jun 2022 20:49:48 +0000",amazon-dynamodb,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/enhanced-integration-service-quotas-amazon-dynamodb/, Announcing enhanced integration with Service Quotas for Amazon DynamoDB,"
Amazon DynamoDB now enables you to proactively manage your account and table quotas through enhanced integration with Service Quotas. Using Service Quotas, you can now view the current values of all your DynamoDB quotas. You can also monitor the current utilization of your account-level quotas.
Amazon DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class is now available in the AWS Asia Pacific (Jakarta) Region. The DynamoDB Standard-IA table class is ideal for use cases that require long-term storage of data that is infrequently accessed, such as application logs, social media posts, e-commerce order history, and past gaming achievements.
" 423114fd12589d1cd9fc065f562c538fb650a1d4,"Wed, 31 Aug 2022 21:49:26 +0000",amazon-ebs-snapshots-archive,storage,https://aws.amazon.com/about-aws/whats-new/2022/08/ebs-recycle-bin-aws-govcloud-us-regions/, EBS Recycle Bin is now available in AWS GovCloud (US) regions,"EBS Recycle Bin is now available in the AWS GovCloud (US) Regions " bd463ba84eb001015880cc085a89672f4613d7c6,"Wed, 31 Aug 2022 20:23:06 +0000",amazon-ebs-snapshots-archive,storage,https://aws.amazon.com/about-aws/whats-new/2022/08/ebs-recycle-bin-asia-pacific-jakarta-region/, EBS Recycle Bin is now available in the Asia Pacific (Jakarta) Region,"
EBS Recycle Bin is now available in the Asia Pacific (Jakarta) Region. You can use Recycle Bin for EBS Snapshots and EBS-backed AMIs to recover from accidental deletions to meet business continuity needs. Previously, if you accidentally deleted a snapshot, you would have to roll back to a snapshot from an earlier point in time, increasing your recovery point objective. It was also not possible to recover accidentally deregistered AMIs. With Recycle Bin, you can specify a retention time period and recover a deleted snapshot or a deregistered AMI before the expiration of the retention period. A recovered snapshot or AMI retains its attributes such as tags, permissions, and encryption status, which it had prior to deletion. Snapshots and AMIs that are not recovered from the Recycle Bin are permanently deleted upon expiration of the retention time.
Starting today, we are adding service quotas for Amazon Machine Images (AMIs). You will now see three new quotas in the EC2 section on the Service Quotas console page. The first quota is for the total number of AMIs within your AWS account, the second quota is for the total number of public AMIs within your AWS account, and the third quota is on the number of shares you can have for each AMI. These quotas are added by default for all AWS accounts and do not require any action from you. Each quota is per AWS account per AWS Region.
" ebf69a58126dbfaf75bf4b59b4780118bfeedc3d,"Fri, 14 Oct 2022 18:01:38 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-high-memory-instances-singapore-canada-govcloud-east-regions/,"Amazon EC2 High Memory instances are now available in Asia Pacific (Singapore), Canada (Central), and AWS GovCloud (US-East) regions","""Starting today, Amazon EC2 High Memory instances " f78098a09638f8e5d62bae1bebd90991e92449b4,"Tue, 04 Oct 2022 17:00:00 +0000",amazon-ec2,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-virtual-private-cloud-vpc-now-supports-new-cloudwatch-metrics-measure-track-network-address-usage/,Amazon Virtual Private Cloud (VPC) now supports two new CloudWatch metrics to measure and track network address usage,"""
Amazon Virtual Private Cloud (VPC) has introduced two new networking metrics" e649a14065e9456d0051a835497455c85a23cb52,"Tue, 04 Oct 2022 20:48:43 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-high-memory-instances-3-6-9-12tib-memory-tokyo-region/,"Amazon EC2 High Memory instances with 3, 6, 9, and 12TiB of memory are now available in Asia Pacific (Tokyo) region","""
Starting today, Amazon EC2 High Memory instances "
c443483c832523683319ea28a2a99ae293c70956,"Wed, 12 Oct 2022 19:35:10 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-c6gn-instances-now-available-additional-region/,Amazon EC2 C6gn instances are now available in additional region," Starting today, Amazon EC2 C6gn instances are available in AWS Asia Pacific (Osaka) Region. Starting today, in Amazon Elastic Compute Cloud (Amazon EC2), you have the option to automatically set up connectivity between the EC2 instances and an Amazon Relational Database Services (Amazon RDS) "
c443483c832523683319ea28a2a99ae293c70956,"Wed, 12 Oct 2022 19:35:10 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-c6gn-instances-now-available-additional-region/,Amazon EC2 C6gn instances are now available in additional region," Starting today, Amazon EC2 C6gn instances are available in AWS Asia Pacific (Osaka) Region. AWS Neuron adds "
e0c52c9b60a3984ca14b278c61d4e800ccbc76ad,"Mon, 10 Oct 2022 21:23:32 +0000",amazon-ec2,analytics,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-neuron-amazon-ec2-trn1-instances-high-performance-cost-effective-deep-learning-training-scale/,"AWS Neuron adds support for Amazon EC2 Trn1 instances to unlock high-performance, cost-effective deep learning training at scale",""" AWS Neuron adds "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",amazon-ec2,containers,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",amazon-ec2,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
7ffc39fda6b9b9226b1a5cbf2e28bd2e98f08e5a,"Tue, 27 Sep 2022 21:27:57 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-ecs-is4gen-im4gn-instances-available-asia-pacific-tokyo-region/,Amazon EC2 Is4gen and Im4gn Instances are now available in Asia Pacific (Tokyo) region," Starting today, Amazon EC2 Is4gen and Im4gn instances, the latest generation storage-optimized instances, are available in Asia Pacific (Tokyo) region. Is4gen and Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of storage with the new AWS Nitro SSDs that are custom-designed by AWS to maximize the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics which continuously read and write from the SSDs in a sustained manner. AWS Nitro SSDs enable up to 60% lower latency and up to 75% reduced latency variability in Im4gn and Is4gen instances compared to the third generation of storage optimized instances. These instances maximize the number of transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads that require very fast access to data sets on local storage. You can now use Apache HTTP webservers "
f23840386ffde857eec99d3cc296a0349cc43265,"Tue, 13 Sep 2022 16:59:50 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-graviton2-based-amazon-ec2-c6gd-instances-available-europe-stockholm-region/,AWS Graviton2-based Amazon EC2 C6gd instances now available in Europe (Stockholm) region," Starting today, Amazon EC2 C6gd instances powered by AWS Graviton2 processors are available in Europe (Stockholm) region. C6gd instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference. The local SSD storage provided on these instances will benefit applications that need access to high-speed, low latency storage, as well as for temporary storage of data such as batch and log processing, and for high-speed caches and scratch files. Starting today, memory optimized Amazon EC2 X2idn and X2iedn instances are available in Europe (Paris) region. X2idn and X2iedn instances, powered by 3rd generation Intel Xeon Scalable Processors (code named Ice Lake), are designed for memory-intensive workloads and deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. X2idn has a 16:1 ratio of memory to vCPU and X2iedn has a 32:1 ratio, making these instances a great fit for workloads such as in-memory databases and analytics, big data processing engines, and Electronic Design Automation (EDA) workloads. X2idn and X2iedn deliver up to 45% more SAPS than comparable X1 instances and are SAP-Certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database. You can view the certification data for X2idn and X2iedn on the Certified and Supported SAP HANA Hardware Directory. An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). Starting today, memory optimized Amazon EC2 X2idn and X2iedn instances are available in Asia Pacific (Jakarta) region. X2idn and X2iedn instances, powered by 3rd generation Intel Xeon Scalable Processors (Ice Lake), are designed for memory-intensive workloads and deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. X2idn has a 16:1 ratio of memory to vCPU and X2iedn has a 32:1 ratio, making these instances a great fit for workloads such as in-memory databases and analytics, big data processing engines, and Electronic Design Automation (EDA) workloads. X2idn and X2iedn deliver up to 45% more SAPS than comparable X1 instances and are SAP-Certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on anyDB. You can view the certification data on the Certified and Supported SAP HANA Hardware Directory. "
ef0adb6fe0fb67b6c54976a7f8d467993a354037,"Fri, 19 Aug 2022 18:29:09 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-graviton2-based-amazon-ec2-c6gd-instances-available-south-america-sao-paulo-region/,AWS Graviton2-based Amazon EC2 C6gd instances now available in South America (São Paulo) region," Starting today, Amazon EC2 C6gd instances are available in South America (Sao Paulo) region. C6gd instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference. The local SSD storage provided on these instances will benefit applications that need access to high-speed, low latency storage, as well as for temporary storage of data such as batch and log processing, and for high-speed caches and scratch files. We are excited to announce the availability of Amazon EC2 P4d instances in the AWS GovCloud (US) Region. P4d instances are optimized for applications in Machine Learning (ML) and High Performance Computing (HPC). Starting today, Amazon EC2 High Memory instances "
d734a2cc6893ed9e240b41962f5656642ceaac61,"Fri, 12 Aug 2022 19:12:16 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-graviton2-based-amazon-ec2-m6g-m6gd-c6g-r6g-available-asia-pacific-jakarta-region/,"AWS Graviton2-based Amazon EC2 M6g, M6gd, C6g, and R6g are now available in Asia Pacific (Jakarta) region"," Starting today, Amazon EC2 M6g, M6gd, C6g, and R6g instances powered by AWS Graviton2 processors are available in Asia Pacific (Jakarta) region. AWS Graviton2-based instances provide up to 40% better price performance over comparable x86-based instances. M6g and M6gd instances are ideal for general purpose workloads such as application servers, microservices, mid-size data stores, and caching fleets. C6g instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, distributed analytics, and CPU-based machine learning. The local SSD storage provided on M6gd instances is ideal for applications that need access to high-speed, low latency storage of data such as caching, logs, and scratch files. R6g instances are ideal for memory-intensive applications such as open-source databases, in-memory caches, and real time big data analytics. "
409abd1aefa1fa98609356610430ce5129908096,"Mon, 08 Aug 2022 16:35:21 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-graviton2-based-amazon-ec2-c6g-c6gd-m6gd-available-additional-regions/,"AWS Graviton2-based Amazon EC2 C6g, C6gd, and M6gd are now available in additional regions"," Starting today, Amazon EC2 C6g and C6gd instances are available in Asia Pacific (Osaka) region. Additionally, M6gd instances are now available in Europe (Stockholm) region. C6g and C6gd instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference. M6gd instances are ideal for general purpose applications such as application servers, microservices, mid-size data stores, and caching fleets. C6gd and M6gd instances offer up to 50% more NVMe storage GB/vCPU over comparable x86-based instances and are ideal for applications that need high-speed, low latency local storage. Starting today, Amazon EC2 Is4gen and Im4gn instances, the latest generation storage-optimized instances, are available in the AWS Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (London) Regions. Is4gen and Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of storage with the new AWS Nitro SSDs that are custom-designed by AWS to maximize the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics which continuously read and write from the SSDs in a sustained manner. AWS Nitro SSDs enable up to 60% lower latency and up to 75% reduced latency variability in Im4gn and Is4gen instances compared to the third generation of storage optimized instances. These instances maximize the number of transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads that require very fast access to data sets on local storage. AWS now offers fully-compliant, Amazon-provided licenses for Microsoft Visual Studio Enterprise 2022 and Microsoft Visual Studio Professional 2022 Amazon Machine Images (AMIs) on Amazon Elastic Compute Cloud (Amazon EC2). These AMIs are now available on the Amazon EC2 console and on AWS Marketplace, to launch instances on-demand without any long-term licensing commitments. Amazon EC2 provides a broach choice of instances and you not only have the flexibility of paying for what your end users use, you can also provide the capacity and right hardware to your end-users. For enterprises that employ large teams of contractors, you can easily provision standardized development machines managed by your IT with no compromises on security and compliance. "
b93bf22a64323a9d24241a67bb6406e5d4fd64c2,"Tue, 02 Aug 2022 18:01:46 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/08/vm-import-export-windows-11/,VM Import/Export now supports Windows 11," VM Import/Export "
f1a2e1dde38d97bc4592a946173145a566bca3af,"Fri, 22 Jul 2022 21:18:59 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-ec2-console-verified-provider-label-public-amis/,Amazon EC2 Console adds ‘Verified Provider’ label for public AMIs," You can now use the ‘Verified Provider’ label on the EC2 Console to pick public Amazon Machine Images (AMIs) that are owned by Amazon verified accounts. Previously, customers would need to check the owner IDs of AMIs that were publicly shared to identify the source of the AMI. IDs of verified sources were not always easily available. The new label on the console helps you easily identify trusted sources for publicly-shared AMIs. These trusted sources can be Amazon and its partners or AMI providers from AWS Marketplace. Starting today, Amazon EC2 I4i Instances are available in additional Amazon Web Services (AWS) Regions - US West (N. California), Asia Pacific (Hong Kong, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, London, Paris). Designed for storage I/O intensive workloads, I4i instances are powered by 3rd generation Intel Xeon Scalable processors (code named Ice Lake) with an all-core turbo frequency of 3.5 GHz, offer up to 30% better compute price performance over I3 instances, and always-on memory encryption using Intel Total Memory Encryption (TME). Amazon Elastic Compute Cloud (Amazon EC2) M1 Mac instances are now generally available (GA). Built on Apple Silicon Mac mini computers and powered by the AWS Nitro System, Amazon EC2 M1 Mac instances deliver up to 60% better price performance over x86-based EC2 Mac instances for building and testing iOS and macOS applications. You still enjoy the same elasticity, scalability, and reliability that the secure, on-demand AWS infrastructure has offered to millions of customers for more than a decade. EC2 M1 Mac instances also enable native Arm64 macOS environments for the first time on AWS to develop, build, test, deploy, and run applications for Apple devices. As a developer who is rearchitecting your macOS applications to natively support Apple Silicon Macs, you can now provision Arm64 macOS environments within minutes, dynamically scale capacity as needed, and benefit from pay-as-you-go pricing to enjoy faster builds and convenient distributed testing. To learn more or get started, see Amazon EC2 Mac Instances. Starting today, Amazon EC2 C6gd instances are available in Asia Pacific (Seoul) Region. C6gd instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference. C6gd instances offer up to 50% more NVMe storage GB/vCPU over comparable x86-based instances and are ideal for applications that need high-speed, low latency local storage. Starting today, Amazon EC2 D3 instances, the latest generation of the dense HDD-storage instances, are available in the AWS Canada (Central) Region. D3 instances are powered by 2nd generation Intel Xeon Scalable Processors (Cascade Lake) with a sustained all core frequency up to 3.1 GHz. D3 instances provide up to 2.5x higher networking speed and 45% higher disk throughput compared to D2 instances. These instances are an ideal fit for workloads including distributed / clustered file systems, big data and analytics, and high capacity data lakes. With D3 instances, you can easily migrate from previous generation D2 instances or on-premises infrastructure to a platform optimized for dense HDD storage workloads. Starting today, Amazon EC2 C6i "
82a826cd6d02d80e13f3ead568a33d0901569912,"Tue, 14 Jun 2022 20:33:35 +0000",amazon-ec2,compute,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-ec2-c6gn-instances-available-additional-regions/,Amazon EC2 C6gn instances now available in additional regions," Starting today, Amazon EC2 C6gn instances are available in the Europe (Paris, Milan), Asia Pacific (Seoul), and Middle East (Bahrain) regions. You can now use Identity and Access Management (IAM) condition keys to specify which resource types are permitted in the retention rules created for Recycle Bin. With Recycle Bin, you can retain deleted EBS snapshots and EBS-backed AMIs for a period of time so that you can recover them in the event of an accidental deletion. You can enable Recycle Bin for all or a subset of the Snapshots or AMIs in your account by creating one or more retention rule. Each rule also specifies a retention time period. A deleted EBS snapshot or de-registered AMI can be recovered from the Recycle Bin before the expiration of the retention period. Starting today, Amazon EC2 R5n instances are available in the Africa (Cape Town) and Europe (Milan) Regions. AWS announces the general availability of new memory-optimized Amazon EC2 R6id instances. R6id instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors, with an all-core turbo frequency of 3.5 GHz, up to 7.6 TB of local NVMe-based SSD block-level storage, and "
1af6f47fb58bd9465cef8aa503b9e27b63d3f269,"Thu, 13 Oct 2022 21:43:10 +0000",amazon-ec2-auto-scaling,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-auto-scaling-predictive-scaling-asia-pacific-jakarta-region/,Amazon EC2 Auto Scaling now supports Predictive Scaling in the Asia Pacific (Jakarta) Region,""" Amazon EC2 Auto Scaling "
1af6f47fb58bd9465cef8aa503b9e27b63d3f269,"Thu, 13 Oct 2022 21:43:10 +0000",amazon-ec2-auto-scaling,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-auto-scaling-predictive-scaling-asia-pacific-jakarta-region/,Amazon EC2 Auto Scaling now supports Predictive Scaling in the Asia Pacific (Jakarta) Region,""" Amazon EC2 Auto Scaling "
20b4d56abb6c2e64046c5d2d5d3dc6ff484a1103,"Thu, 07 Jul 2022 20:28:57 +0000",amazon-ec2-auto-scaling,compute,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-ec2-predictive-scaling-forecast-cloudwatch-metrics/,Amazon EC2 Auto Scaling customers can now monitor their predictive scaling policy using Amazon CloudWatch," EC2 Auto Scaling now publishes predictive scaling policy’s forecasts as a CloudWatch metric, enabling you to analyze, monitor, and set alarms on the accuracy of predictive scaling. Predictive Scaling is a scaling policy that proactively increases the capacity of your Auto Scaling group ahead of predicted demand, improving the availability of your application while reducing the need to stay overprovisioned that otherwise would have increased your EC2 bill. As predictive scaling only increases the capacity for your Auto Scaling groups, applying it to your current scaling configurations strictly enhances your application availability. However, an inaccurate prediction can potentially increase your cost. Now, you can use the extensive list of CloudWatch features to measure accuracy of predictions, view forecasts using the familiar CloudWatch graphs, and also set automatic alarms and notifications when predictions are above your desired levels. Amazon EC2 Auto Scaling "
4129a002b5237cdcf071384c4952987c4dec134b,"Mon, 10 Oct 2022 21:25:54 +0000",amazon-ec2-trn1,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/ec2-trn1-instances-high-performance-cost-effective-deep-learning-training/,"Announcing Amazon EC2 Trn1 instances for high-performance, cost-effective deep learning training",""" AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. Amazon EC2 Trn1 instances are powered by AWS Trainium chips, which are purpose built for high-performance ML training applications in the cloud. "
4129a002b5237cdcf071384c4952987c4dec134b,"Mon, 10 Oct 2022 21:25:54 +0000",amazon-ec2-trn1,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/ec2-trn1-instances-high-performance-cost-effective-deep-learning-training/,"Announcing Amazon EC2 Trn1 instances for high-performance, cost-effective deep learning training",""" AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. Amazon EC2 Trn1 instances are powered by AWS Trainium chips, which are purpose built for high-performance ML training applications in the cloud. "
9da5eb2935aed947b99fd0da4bce9690f7b43442,"Thu, 08 Sep 2022 19:47:09 +0000",amazon-ecr,containers,https://aws.amazon.com/about-aws/whats-new/2022/09/introducing-seekable-oci-lazy-loading-container-images/, Introducing Seekable OCI for lazy loading container images," Seekable OCI (SOCI) is a technology open sourced by AWS that enables containers to launch faster by lazily loading the container image. SOCI works by creating an index (SOCI Index) of the files within an existing container image. This index is a key enabler to launching containers faster, providing the capability to extract an individual file from a container image before downloading the entire archive. Today, Amazon Elastic Container Registry Public (ECR Public) launched API support for listing tags for any repository in ECR Public. Now you can use Docker registry HTTP API v2 to list available tags in any public repository in addition to ECR Public gallery. Today, Amazon Elastic Container Service (Amazon ECS) has announced the availability of additional metadata attributes for tasks running on Amazon EC2 capacity. You can now use the Amazon ECS task metadata endpoint "
6a30b91089556cc8fc22f7d226baee28ce231b9d,"Fri, 07 Oct 2022 21:02:21 +0000",amazon-ecs,containers,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ecs-metadata-attributes-tasks-running-amazon-ec2/,Amazon ECS launches additional metadata attributes for tasks running on Amazon EC2,""" Today, Amazon Elastic Container Service (Amazon ECS) has announced the availability of additional metadata attributes for tasks running on Amazon EC2 capacity. You can now use the Amazon ECS task metadata endpoint "
4f0088e66929e740d6dc24f36da98de4894bd937,"Tue, 27 Sep 2022 18:05:57 +0000",amazon-ecs,containers,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-copilot-cli-containerized-apps-iam-permission-boundaries/," AWS Copilot, a CLI for the containerized apps, adds IAM permission boundaries and more"," AWS customers can now download and use the latest version, v1.22, of AWS Copilot, a command line interface (CLI) for containerized applications. AWS Copilot makes it easier for customers to build, deploy, and operate containerized applications on AWS by providing a common application architecture and infrastructure patterns, user-friendly operational workflows, and set up of continuous delivery pipelines. The new release helps Copilot users leverage IAM permission boundaries to comply with their organization’s security requirements and service control policies, build event-driven services when order of operations and events is critical, and achieve a low-latency content delivery for their public HTTPS web services. Amazon Elastic Container Service "
68752ec9bb086910e05a536a5a745bc4ce1866e9,"Fri, 16 Sep 2022 19:47:59 +0000",amazon-ecs,containers,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-fargate-increases-compute-memory-resource-configurations-4x/,AWS Fargate increases compute and memory resource configurations by 4x," AWS Fargate customers can now configure Amazon Elastic Container Service (ECS) tasks and Amazon Elastic Kubernetes Service (EKS) pods to use up to 16 vCPUs, an approximately 4x increase from before. vCPUs are the primary compute resource in ECS tasks and EKS pods. Larger vCPUs enable compute-heavy applications like machine learning inference, scientific modeling, and distributed analytics to more easily run on Fargate. In addition, customers can now provision up to 120 GiB of memory on Fargate, also a 4x increase from before. This helps batch workloads, extract, transform, load (ETL) jobs, genomics, and media processing applications better perform memory-intensive operations on Fargate. Larger vCPU and memory options may also make migration to serverless container compute simpler for applications that need more compute resources and cannot be easily re-architected into smaller microservices. Starting today, Amazon EC2 C6id, M6id and R6id instances are available in AWS Region Asia Pacific (Tokyo). C6id, M6id and R6id instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors, with an all-core turbo frequency of 3.5 GHz, up to 7.6 TB of local NVMe-based SSD block-level storage, and up to 15% better price performance than their 5th generation counterpart instances. AWS Fargate, the serverless compute engine for Amazon Elastic Container Service (ECS), is now available in Middle East (UAE) Region. Fargate allows customers to deploy and manage containerized applications without having to manage any of the underlying infrastructure. Fargate makes it easier to scale applications and helps improve security through application isolation by design. AWS Fargate launches support for the Microsoft Windows Server 2022 runtime platform for applications running on Amazon Elastic Container Services (Amazon ECS). This adds to the list of already supported Windows Server 2019 runtime platforms for AWS Fargate, and helps customers take advantage of the latest Windows features on AWS Fargate. Starting today, Amazon EC2 C6i, M6i and R6i instances are available in the Europe (Stockholm, Milan), and Asia Pacific (Hong Kong). Additionally, the Amazon EC2 C6i and M6i instances are now available in Middle East (Bahrain) and R6i instance is now available in Europe (Frankfurt). These instances are powered by 3rd Gen Intel Xeon Scalable processors (code named Ice Lake) with an all-core turbo frequency of 3.5 GHz, offering up to 15% better compute price performance over comparable Gen5 instances for a wide variety of workloads, and always-on memory encryption using Intel Total Memory Encryption (TME). AWS Launch Wizard now allows you to deploy SAP HANA in a scale-out architecture using Amazon EC2 x2idn and r6i instances. Customers can deploy up to 16 nodes (1 primary node and 15 secondary nodes) using these instance types. Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in Asia Pacific (Mumbai, Tokyo), Europe (Frankfurt, London), and Canada (Central). G5 instances can be used for a wide range of graphics intensive and machine learning use cases. They deliver up to 3x higher performance for graphics-intensive applications and machine learning inference, and up to 3.3x higher performance for training simple to moderately complex machine learning models when compared to Amazon EC2 G4dn instances. Starting today, compute-optimized Amazon EC2 C7g instances are available in US East (Ohio) and Europe (Ireland). C7g instances are the first instances powered by the latest AWS Graviton3 processors and deliver up to 25% better performance over Graviton2-based C6g instances for a broad spectrum of applications such as application servers, microservices, batch processing, electronic design automation (EDA), gaming, video encoding, scientific modeling, distributed analytics, high performance computing (HPC), CPU-based machine learning (ML) inference, and ad serving. We are excited to announce that the Amazon EC2 VT1 instances now support the AMD-Xilinx Video SDK 2.0, bringing support for Gstreamer, 10-bit HDR video, and dynamic encoder parameters. In addition to new features, this new version offers improved visual quality for 4k video, support for a newer version of FFmpeg (4.4), expanded OS/kernel support, and bug fixes. Today, we are excited to announce the general availability of local clusters for Amazon Elastic Kubernetes Service (EKS) on Outposts, which enable you to run highly available Kubernetes clusters in on-premises environments. AWS Fargate customers can now configure Amazon Elastic Container Service (ECS) tasks and Amazon Elastic Kubernetes Service (EKS) pods to use up to 16 vCPUs, an approximately 4x increase from before. vCPUs are the primary compute resource in ECS tasks and EKS pods. Larger vCPUs enable compute-heavy applications like machine learning inference, scientific modeling, and distributed analytics to more easily run on Fargate. In addition, customers can now provision up to 120 GiB of memory on Fargate, also a 4x increase from before. This helps batch workloads, extract, transform, load (ETL) jobs, genomics, and media processing applications better perform memory-intensive operations on Fargate. Larger vCPU and memory options may also make migration to serverless container compute simpler for applications that need more compute resources and cannot be easily re-architected into smaller microservices. An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). Today, we are excited to announce the general availability of the Amazon Elastic Kubernetes Service (EKS) Anywhere Curated Packages, which are software packages that extend the core functionalities of Kubernetes. You can now install the Harbor package as a local container registry, the Emissary-Ingress package as the ingress controller, and the MetalLB package as the service type load balancer. Amazon Elastic Kubernetes Service (EKS) now makes it easier for customers to understand how their Amazon EC2 costs are driven by individual EKS clusters. Customers who choose to use multiple EKS clusters to segment their workloads to improve their resilience and/or security posture now get breakdowns of their EC2 costs by EKS cluster using AWS Cost and Usage reporting with minimal additional effort. Amazon Elastic Kubernetes Service (Amazon EKS) now allows you to more easily run workloads from various Kubernetes namespaces on AWS Fargate serverless compute with a single EKS Fargate Profile. Using Amazon EKS on AWS Fargate enables you to use Kubernetes without having to worry about compute infrastructure configuration and maintenance. Previously, you had to specify all the namespaces at the time you created the EKS Fargate Profile and were limited to a total of 5 namespace selectors or label pairs. You can now use Amazon EKS "
399c73e6dc53e48b13aa533085a1177f1fe4e3cc,"Mon, 25 Jul 2022 15:05:14 +0000",amazon-eks,containers,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-fault-injection-simulator-supports-chaosmesh-litmus-experiments/, AWS Fault Injection Simulator now supports ChaosMesh and Litmus experiments," AWS Fault Injection Simulator (FIS) now supports ChaosMesh and Litmus experiments for containerized applications running on Amazon Elastic Kubernetes Service (EKS). Using the new Kubernetes custom resource action for AWS FIS, you can control ChaosMesh and Litmus chaos experiments from within an AWS FIS experiment, enabling you to coordinate fault injection workflows among multiple tools. For example, you can run a stress test on a pod’s CPU using ChaosMesh or Litmus faults while terminating a randomly selected percentage of cluster nodes using AWS FIS fault actions. Today, we are excited to announce the general availability of Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere on bare metal which gives customers broader choice of infrastructure for running Kubernetes on-premises. As customers modernize their applications, they want to use Kubernetes consistently between their existing on-premises bare metal infrastructure and the cloud. Running Kubernetes on bare metal infrastructure is complex, and customers spend time, effort and money on infrastructure operations instead of focusing on business innovation. AWS Fargate "
f84e92097d3feb4fbb175abaddea90df170c9e37,"Fri, 03 Jun 2022 19:54:13 +0000",amazon-eks,containers,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-eks-supports-dns-resolution-cluster-private-endpoint-aws-govcloud-us-regions/, Amazon EKS now supports DNS resolution of the cluster private endpoint in AWS GovCloud (US) regions," You can now resolve the private Kubernetes API server endpoint of your Amazon Elastic Kubernetes Service (EKS) cluster in AWS GovCloud (US) regions. This allows you to easily connect to an EKS cluster that is only accessible within a VPC, including when using AWS services such as AWS Direct Connect and VPC peering. In May 2019, Amazon Elastic Block Store (EBS) launched the ability for customers to take crash-consistent snapshots of all Amazon EBS volumes attached to an Amazon EC2 instance with a single API call. Now you can choose to take crash-consistent snapshots of a subset of Amazon EBS data volumes attached to an Amazon EC2 instance. You can also use Amazon Data Lifecycle Manager (DLM) to automate taking crash-consistent snapshots of the same subset of Amazon EBS volumes on a retention schedule defined by DLM policies. In May 2019, Amazon Elastic Block Store (EBS) launched the ability for customers to take crash-consistent snapshots of all Amazon EBS volumes attached to an Amazon EC2 instance with a single API call. Now you can choose to take crash-consistent snapshots of a subset of Amazon EBS data volumes attached to an Amazon EC2 instance. You can also use Amazon Data Lifecycle Manager (DLM) to automate taking crash-consistent snapshots of the same subset of Amazon EBS volumes on a retention schedule defined by DLM policies. As your application needs change, Amazon EBS Elastic Volumes "
250d88c87688799cf379c5dfaf60618cdfe26b7f,"Tue, 14 Jun 2022 21:03:34 +0000",amazon-elastic-block-store,storage,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-recycle-bin-ebs-snapshots-ebs-backed-amis-iam-condition-keys-retention-rules/, AWS Recycle Bin for EBS Snapshots and EBS-backed AMIs now supports IAM condition keys to manage retention rules," You can now use Identity and Access Management (IAM) condition keys to specify which resource types are permitted in the retention rules created for Recycle Bin. With Recycle Bin, you can retain deleted EBS snapshots and EBS-backed AMIs for a period of time so that you can recover them in the event of an accidental deletion. You can enable Recycle Bin for all or a subset of the Snapshots or AMIs in your account by creating one or more retention rule. Each rule also specifies a retention time period. A deleted EBS snapshot or de-registered AMI can be recovered from the Recycle Bin before the expiration of the retention period. Today we are launching a new feature that provides an option to define flow handling behavior for AWS Gateway Load Balancer. Using this option, customers can now rebalance existing flows to a healthy target, when the target fails or deregisters. This helps reduce failover time when a target becomes unhealthy, and also allows customers to gracefully patch or upgrade the appliances during maintenance windows. Today we are launching a new feature that provides an option to define flow handling behavior for AWS Gateway Load Balancer. Using this option, customers can now rebalance existing flows to a healthy target, when the target fails or deregisters. This helps reduce failover time when a target becomes unhealthy, and also allows customers to gracefully patch or upgrade the appliances during maintenance windows. You can now use AWS Resilience Hub "
d9b18b92bc56442dffa5b1197a52099840bcda8b,"Mon, 29 Aug 2022 18:28:47 +0000",amazon-elasticache,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-elasticache-memcached-hipaa-eligible/, Amazon ElastiCache for Memcached is now HIPAA eligible," Amazon ElastiCache for Memcached "
d4be02e4c5d999b9aa1a728e09da92c26b9da1da,"Thu, 04 Aug 2022 17:12:51 +0000",amazon-elasticache,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-elasticache-t4g-m6g-r6g-instances-europe-paris-milan/,"Amazon ElastiCache now supports AWS Graviton2-based T4g, M6g, R6g instances in the Europe (Paris, Milan) regions and R6gd instances in the Europe (Paris) region"," Amazon ElastiCache now supports AWS Graviton2-based T4g, M6g and R6g node types in the Europe (Paris) and Europe (Milan) regions. Customers choose Amazon ElastiCache for workloads that require blazing-fast performance with sub-millisecond latency and high throughput. Now, with Graviton2 T4g, M6g and R6g instances, customers can enjoy up to a 45% price/performance improvement over previous generation instances. We're excited to announce that you can now monitor and debug jobs in EMR Serverless using native Apache Spark &"
8f7d9635aa870b5c35f71a4ae5677877011a1683,"Thu, 13 Oct 2022 18:11:10 +0000",amazon-emr,analytics,https://aws.amazon.com/about-aws/whats-new/2022/10/monitor-amazon-emr-serverless-jobs-real-time-native-spark-hiv-tez-ui/,Monitor Amazon EMR Serverless jobs in real-time with native Spark and Hive Tez UI,""" We're excited to announce that you can now monitor and debug jobs in EMR Serverless using native Apache Spark &"
e031a8ab5062b2046d82e5f00f5f48b145c9666f,"Tue, 27 Sep 2022 17:58:57 +0000",amazon-emr,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-emr-serverless-available-additional-aws-regions/,Amazon EMR Serverless is now available in 12 additional AWS Regions," Amazon EMR is excited to announce that Amazon EMR Serverless is now "
aba9ce6e59f89fef24ab6863b8146de332a258b9,"Wed, 21 Sep 2022 17:13:51 +0000",amazon-emr,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-emr-studio-available-china-regions/, Amazon EMR Studio is now available in Amazon Web Services China Regions," Amazon EMR Studio is an integrated development environment (IDE) that makes it simple for data scientists and data engineers to develop, visualize, and debug big data and analytics applications written in R, Python, Scala, and PySpark. We are excited to announce that Amazon EMR on EKS release "
7224afa3840cb7a782e23285eccac5f99bc6fc5c,"Tue, 13 Sep 2022 18:32:45 +0000",amazon-emr,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/monitor-amazon-emr-serverless-applications-near-real-time-cloudwatch-metrics/, Monitor Amazon EMR Serverless applications in near real-time with CloudWatch metrics," Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for "
3bab5a4cb5e1dc1e11b5995e0a7f4dc806105def,"Mon, 11 Jul 2022 15:19:07 +0000",amazon-emr,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/use-result-fragment-caching-emr-runtime-apache-spark-boost-query-performace-15x/,Use Result Fragment Caching with EMR runtime for Apache Spark to boost query performance by up to 15x," The Amazon EMR runtime for Apache Spark is a performance optimized runtime environment for Apache Spark, available and turned on by default on Amazon EMR clusters 5.28 onward. Amazon EMR runtime for Spark is up to 3x faster with 100% API compatibility with open source Spark. Amazon EMR release 6.6 now supports Apache Spark 3.2, Apache Spark RAPIDS 22.02, CUDA 11, Apache Hudi 0.10.1, Apache Iceberg 0.13, Trino 0.367, and PrestoDB 0.267. You can use the performance-optimized version of Apache Spark 3.2 on EMR on EC2, EKS, and recently released EMR Serverless. In addition Apache Hudi 0.10.1 and Apache Iceberg 0.13 are available on EC2, EKS, and Serverless. Apache Hive 3.1.2 is available on EMR on EC2 and EMR Serverless. Trino 0.367 and PrestoDB 0.267 are only available on EMR on EC2. "
ddbabef2a5c1f892fc320479f3d982ae24757656,"Thu, 11 Aug 2022 19:19:19 +0000",amazon-eventBridge,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-eventbridge-supports-receiving-events-github-stripe-twilio-using-webhooks/," Amazon EventBridge now supports receiving events from GitHub, Stripe and Twilio using Webhooks"," Amazon EventBridge now supports integrations with GitHub, Stripe, and Twilio via webhooks using Quicks Starts. You can subscribe to events from these SaaS applications and receive them on an Amazon EventBridge event bus for further processing. With Quick Starts, you can use AWS CloudFormation templates to create HTTP endpoints for your event bus that are configured with security best practices for GitHub, Stripe, and Twilio. You can configure your GitHub, Stripe, and Twilio webhooks from the respective accounts"
8f82000f135bd1bc5efba318431e1e842101c56f,"Mon, 08 Aug 2022 19:17:06 +0000",amazon-eventBridge,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-iot-greengrass-v2-updates-stream-manager-report-telemetry-metrics/,AWS IoT Greengrass v2 updates Stream Manager to report new telemetry metrics and more," AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software. We are excited to announce our version 2.7 release with the following features: Amazon EventBridge cross-Region routing allows customers to consolidate events from numerous regions into one central Region. This makes it easier for customers to centralize their events in the destination Region and write code that reacts to them or replicate events from source to destinations Regions to help synchronize data across Regions. Today, we are excited to announce availability of cross-Region routing in AWS GovCloud (US) Regions. With the release of new granular permission APIs, Amazon FinSpace "
d75c549a3dbf72f853a66b46dc3bdd237eba61c9,"Thu, 01 Sep 2022 21:28:36 +0000",amazon-forecast,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/custom-forecast-frequencies-supported-amazon-forecast/, Custom forecast frequencies now supported in Amazon Forecast," Today, Amazon Forecast is excited to announce the ability to customize the forecast frequency, enabling you to more closely align forecast intervals with your demand cycles. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Now with Amazon Forecast, "
a9bc8e03bd27edb2c0fb0363f62a27cfa60b8876,"Thu, 21 Jul 2022 22:22:39 +0000",amazon-fraud-detector,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-fraud-detector-account-takeover-insights/, Amazon Fraud Detector launches Account Takeover Insights (ATI)," Today, we are excited to announce that Amazon Fraud Detector (AFD) now supports Account Takeover Insights (ATI) model, a low-latency fraud detection machine learning (ML) model specifically designed to detect accounts that have been compromised through stolen credentials, phishing, social engineering, or other forms of account takeover. The ATI model is designed to detect up to 4 times more ATI fraud than traditional rules-based account takeover solutions while minimizing the level of friction for legitimate users. We are excited to announce that registration for the FreeRTOS Extended Maintenance Plan (EMP) is now open. FreeRTOS is a real-time operating system for microcontrollers. FreeRTOS EMP subscriptions allow embedded developers to receive critical bug fixes and security patches on their chosen FreeRTOS Long Term Support (LTS) version for up to 10 years beyond the end of its initial support period. During the subscription period, developers will receive notifications for upcoming patches on FreeRTOS libraries, allowing them to systematically plan their product maintenance activities. This helps developers to secure their microcontroller-based devices for years, save operating system upgrade costs, and reduce the risk associated with patching their devices. Customers in the AWS Asia Pacific (Jakarta) Region can now use Amazon FSx for Lustre. AWS ParallelCluster 3.2 release is now generally available. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. AWS ParallelCluster 3.2 release is now generally available. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. Amazon FSx for Windows File Server, a service that provides fully managed file storage built on Windows Server, now provides additional performance metrics for improved visibility into file system activity and an enhanced monitoring dashboard with performance insights and recommendations. "
98c2dc9b65b0a850d17ca7d7ff4e618212089850,"Thu, 13 Oct 2022 17:59:10 +0000",amazon-fsx-netapp-ontap,storage,https://aws.amazon.com/about-aws/whats-new/2022/10/improve-availability-sap-hana-systems-aws-host-auto-failover/,Improve availability of SAP HANA systems on AWS with Host Auto-Failover,""" You can now deploy SAP HANA systems with Host Auto-Failover "
98c2dc9b65b0a850d17ca7d7ff4e618212089850,"Thu, 13 Oct 2022 17:59:10 +0000",amazon-fsx-netapp-ontap,storage,https://aws.amazon.com/about-aws/whats-new/2022/10/improve-availability-sap-hana-systems-aws-host-auto-failover/,Improve availability of SAP HANA systems on AWS with Host Auto-Failover,""" You can now deploy SAP HANA systems with Host Auto-Failover "
f854a8b8dc5da7513016dcd0f3b6c2656539d109,"Tue, 30 Aug 2022 17:14:59 +0000",amazon-fsx-netapp-ontap,storage,https://aws.amazon.com/about-aws/whats-new/2022/08/announcing-vmware-cloud-aws-integration-amazon-fsx-netapp-ontap/, Announcing VMware Cloud on AWS integration with Amazon FSx for NetApp ONTAP," AWS and VMware now offer a supplemental, jointly-engineered network file system (NFS) datastore option for VMware Cloud on AWS so you can reduce costs and accelerate your migration to the cloud. Amazon FSx for NetApp ONTAP is a fully managed service that allows you to run NetApp ONTAP filesystems on AWS. With this integration, you can attach scalable, high-performance storage, independent from your compute resources, to your VMware Cloud on the AWS Software Defined Data Center (SDDC). AWS ParallelCluster 3.2 release is now generally available. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. AWS Backup Audit Manager "
4b7d595b7d93e21b02bab7994d217475bcb25b61,"Tue, 28 Jun 2022 20:11:47 +0000",amazon-fsx-netapp-ontap,storage,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-datasync-copy-data-amazon-fsx-netapp-ontap/, AWS DataSync can now copy data to and from Amazon FSx for NetApp ONTAP," AWS DataSync now supports copying files to and from Amazon FSx for NetApp ONTAP, a storage service that allows customers to launch and run fully managed ONTAP file systems in the cloud. Using AWS DataSync, you can quickly and securely migrate your data from your on-premises storage, the edge, or other clouds to your FSx for NetApp ONTAP file systems running in AWS. You can also use DataSync to move data between your FSx for NetApp ONTAP file system and Amazon S3 buckets, Amazon EFS file systems, or other Amazon FSx file systems. Today, we are excited to announce the general availability (GA) of an update to Amazon GameLift that expands support to AWS Local Zones, which increases coverage for game developers, while providing seamless, low-latency gameplay experiences for players. With this update, game developers can tap into 8 new Local Zones in Chicago, Houston, Dallas, Kansas City, Denver, Atlanta, Los Angeles, and Phoenix. Amazon GameLift "
47ee3cf2b6ad8088d25d815cc9490aa54ab98017,"Thu, 06 Oct 2022 21:25:13 +0000",amazon-guardduty,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-guardduty-available-middle-east-uae-region/,Amazon GuardDuty is now available in the Middle East (UAE) Region,""" Amazon GuardDuty "
0db77d20c6a1748a276aff24170a9e2ee4eb5e03,"Tue, 26 Jul 2022 14:22:10 +0000",amazon-guardduty,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/malware-protection-feature-amazon-guardduty/, Malware protection now a feature of Amazon GuardDuty," Amazon GuardDuty Malware Protection is now available, in Amazon GuardDuty, to help detect malicious files residing on an instance or container workload running on Amazon Elastic Compute Cloud (Amazon EC2) without deploying security software or agents. Amazon GuardDuty Malware Protection adds file scanning for workloads utilizing Amazon Elastic Block Store (EBS) volumes to detect malware that can be used to compromise resources, modify access permissions, and exfiltrate data. Malicious files that contain trojans, worms, crypto miners, rootkits, bots, and the like can be used to compromise workloads, repurpose resources for malicious use, and gain unauthorized access to data. Existing customers can enable the GuardDuty Malware Protection feature with a single click in the GuardDuty console or through the GuardDuty API. When threats are detected, GuardDuty Malware Protection automatically sends security findings to AWS Security Hub, Amazon EventBridge, and Amazon Detective. These integrations help centralize monitoring for AWS and partner services, automate responses to malware findings, and perform security investigations from the GuardDuty console. With the launch of Amazon GuardDuty Malware Protection there are eight new threat detections: AWS Security Hub now "
2cd7763ec3d523d2adf696e87419e7d05005bc2a,"Wed, 06 Jul 2022 20:52:13 +0000",amazon-guardduty,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-guardduty-machine-learning-detect-malicious-access-data-s3/,Amazon GuardDuty introduces new machine learning capabilities to more accurately detect potentially malicious access to data stored in S3 buckets," Amazon GuardDuty "
256658884fd6e89e48dbcfb1d27a165f464c7491,"Tue, 07 Jun 2022 21:49:55 +0000",amazon-guardduty,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-guardduty-eks-protection-jakarta-region/, Amazon GuardDuty EKS Protection now available in AWS Asia Pacific (Jakarta) Region," Amazon GuardDuty EKS Protection, an Amazon GuardDuty "
68ed3a521ad49e6933b92f2e51b7ba6cc2565fa2,"Thu, 01 Sep 2022 17:26:49 +0000",amazon-inspector,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-inspector-windows-os-continual-software-vulnerability-scanning-ec2-workloads/,Amazon Inspector now supports Windows operating system (OS) for continual software vulnerability scanning of EC2 workloads," Inspector has added Windows Server 2012, 2012 R2, 2016, and 2019, 2022 support for continual EC2 vulnerability scanning. Customers that have Inspector EC2 scanning already enabled and the AWS Systems Manager (SSM) agent installed and configured, do not need to take any additional actions. Windows instances will now automatically and continually be scanned for software vulnerabilities and unintended network exposure. New customers can get started "
6b2f3a915cdc584d2eecb62a65aed5d4dd45700c,"Thu, 18 Aug 2022 18:14:09 +0000",amazon-ivs,media-services,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-chime-sdk-video-compositing-merging-concatenation-webrtc-media-capture/, Amazon Chime SDK supports video compositing and merging (concatenation) for WebRTC media capture," Amazon Chime SDK announces the release of concatenation that helps makes it easy to create a single file by concatenating media chunks including audio, video, content, and transcriptions created by Amazon Chime SDK media capture. Amazon Chime SDK enables multi-party video sessions by letting developers add real-time voice and video to their web and mobile apps. With concatenation, customers can create a single file from a multi-party video session that includes audio, individual or composited video, content, and transcriptions. Amazon Chime SDK announces the launch of live connector pipelines that send real-time video from applications to streaming platforms such as Amazon Interactive Video Service (IVS) or AWS Elemental MediaLive. Amazon Chime SDK enables multi-party video sessions by letting developers add real-time voice and video to their web and mobile apps. Live connector helps to simplify the process of live streaming these sessions through a single API. Customer can send real-time video to streaming platforms such as AWS Elemental MediaLive, Amazon IVS, Twitch, YouTube Live, Facebook Live, and more. You can now use an Amazon Interactive Video Service (Amazon IVS) basic channel for HD (720p) and Full HD (1080p) quality streams, in addition to SD (480p). The expanded functionality is designed to enable streamers and viewers globally to enjoy higher video quality when using a basic channel. A basic channel will deliver only the original input video quality to viewers, whereas a standard channel provides multiple qualities of output, allowing better playback quality across a range of devices and network conditions. Amazon Interactive Video Service (Amazon IVS) web broadcast SDK gives you the ability to capture live video from web browsers and send as an input to an Amazon IVS channel. You can include it on new and existing websites, with support for both desktop and mobile web browsers. Amazon Interactive Video Service (Amazon IVS) announces its first point of presence (PoP) in Colombia. The new edge location will enable streamers and viewers based in Colombia to enjoy lower latency, better video quality, and increased capacity. Amazon Kendra "
0e8c1b4665319d44d93a6df8b824dd52d6bfb4cc,"Thu, 04 Aug 2022 21:38:09 +0000",amazon-keyspaces,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-keyspaces-available-aws-govcloud-us-regions/, Amazon Keyspaces is now available in AWS GovCloud (US) Regions," Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Cassandra-compatible database service, is now available in the AWS GovCloud (US) Regions. Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service. Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Apache Cassandra-compatible database service, now helps you monitor your table-level storage costs through Amazon CloudWatch. You can now deliver Amazon Virtual Private Cloud (VPC) Flow Logs directly to Amazon Kinesis Firehose, allowing you to stream your flow logs real-time to destinations supported by Amazon Kinesis Firehose "
991b0806162fb2da7c23f435f67db956b53be040,"Fri, 09 Sep 2022 19:19:32 +0000",amazon-kinesis-analytics,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-kinesis-data-analytics-apache-flink-three-container-level-metrics-cloudformation-support/, Amazon Kinesis Data Analytics for Apache Flink supports three new container level metrics and improved CloudFormation support," Amazon Kinesis Data Analytics for Apache Flink "
4d61a243136e0e7d237e46962d8a4b004997ce18,"Tue, 16 Aug 2022 15:58:26 +0000",amazon-kinesis-analytics,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-kinesis-data-analytics-available-asia-pacific-jakarta-region/, Amazon Kinesis Data Analytics is now available in Asia Pacific (Jakarta) region," Amazon Kinesis Data Analytics "
8d23968d3bb162eb3c06acec6f8aa662638942eb,"Fri, 12 Aug 2022 15:53:17 +0000",amazon-kinesis-analytics,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-kenesis-data-available-asia-pacific-jakarta-region/, Amazon Kinesis Data Analytics is now available in Asia Pacific (Jakarta) region," Amazon Kinesis Data Analytics "
b47ecdf9be463e01d1fff607e9707158c64f1c23,"Thu, 08 Sep 2022 21:23:37 +0000",amazon-kinesis-firehose,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-vpc-flow-logs-delivered-amazon-kinesis-firehose/, Amazon Virtual Private Cloud (VPC) Flow Logs can now be delivered to Amazon Kinesis Firehose," You can now deliver Amazon Virtual Private Cloud (VPC) Flow Logs directly to Amazon Kinesis Firehose, allowing you to stream your flow logs real-time to destinations supported by Amazon Kinesis Firehose "
28a986bbfec6e35c1abe3f1575066c64a69158a4,"Fri, 14 Oct 2022 21:03:31 +0000",amazon-lex,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-lex-support-hindi-dutch/,Amazon Lex launches support for Hindi and Dutch,""" We are excited to announce that Amazon Lex now supports Hindi and Dutch. Amazon Lex "
20a395c005162f4a425e34ac761b5b71fdbf378a,"Wed, 14 Sep 2022 21:05:13 +0000",amazon-lex,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-visual-conversation-builder/, Introducing Visual Conversation builder for Amazon Lex," Amazon Lex "
3c44e059745076126df4d49d5eafc6b2a4c27b31,"Fri, 09 Sep 2022 21:41:22 +0000",amazon-lex,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-lex-composite-slot-type/, Announcing the composite slot type for Amazon Lex," Amazon Lex "
3967fe962aca5ef523c454d07d083ef3aa8537bd,"Wed, 17 Aug 2022 17:41:09 +0000",amazon-lex,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-lex-conditional-branching-simplified-dialog-management/, Amazon Lex now supports conditional branching for simplified dialog management," Amazon Lex "
2fd0c0b218d025ac3d43ade8bb9d5ba52d189cce,"Mon, 20 Jun 2022 22:02:18 +0000",amazon-lex,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-lex-automated-chatbox-designer-available/, Amazon Lex Automated Chatbot Designer is now generally available," We are excited to announce general availability of automatic chatbot designer in Amazon Lex, enabling developers to automatically design chatbots from conversation transcripts in hours rather than weeks. Introduced at re:Invent in December 2021, the automated chatbot designer enhances the usability of Amazon Lex by automating conversational design, minimizing developer effort and reducing the time it takes to design a chatbot. Amazon Location Service now enables developers to retrieve known geographical locations using a unique identifier. For example, when using autocomplete functionality to help end-users complete their searches, developers can use the unique identifier of the end-user’s selection to retrieve the location in future queries. Using this unique identifier, developers can create consistent search experiences, filter search results, and display relevant search results on a map. Amazon Location Service now "
5f68915c3974f2527172ed698c0e5c9c2af86d1b,"Wed, 06 Jul 2022 17:29:14 +0000",amazon-location-service,front-end-web-and-mobile,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-location-service-quota-management/, Announcing quota management for Amazon Location Service," Amazon Location Service "
9aad154d3474497fef56fbc0ef18483b1ad28800,"Wed, 07 Sep 2022 16:58:01 +0000",amazon-lookout-for-metrics,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-lookout-metrics-increases-limits-number-measures-dimensions/, Amazon Lookout for Metrics increases limits on number of measures and dimensions," We are excited to announce that you can now add up to 10 measures and 10 dimensions when setting up your detector for Amazon Lookout for Metrics. With this launch you can now include more measures and dimensions in a single detector, which allows you to get insights on root causes and causality across all the measures and dimensions that you have selected. We are excited to announce that you can now filter your data by its dimensions while using Amazon Lookout for Metrics. Amazon Lookout for Metrics uses machine learning (ML) to automatically monitor the metrics that are most important to businesses with greater speed and accuracy than traditional methods used for anomaly detection. The service also makes it easier to diagnose the root cause of anomalies like unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment transaction failures, increases in new user sign-ups, and many more. Amazon Lookout for Metrics "
87d20abbb625307cbbf47ec5d71084437b81e64d,"Wed, 15 Jun 2022 15:09:16 +0000",amazon-lookout-for-metrics,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/customize-notifications-using-amazon-lookout-metrics/, Easily customize your notifications while using Amazon Lookout for Metrics," We are excited to announce that you can now add filters to alerts and also edit existing alerts while using Amazon Lookout for Metrics. With this launch you can now add filters to your alerts configuration to only get notifications for anomalies that matter the most to you. You can also simply modify existing alerts as per your needs for notification as anomalies evolve. Amazon Lookout for Vision now "
28a986bbfec6e35c1abe3f1575066c64a69158a4,"Fri, 14 Oct 2022 21:03:31 +0000",amazon-machine-learning,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-lex-support-hindi-dutch/,Amazon Lex launches support for Hindi and Dutch,""" We are excited to announce that Amazon Lex now supports Hindi and Dutch. Amazon Lex "
d5aa3a003ac3be0d5fbdb415ebd805dc61bbaa76,"Thu, 13 Oct 2022 19:00:10 +0000",amazon-machine-learning,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-rstudio-developer-productivity-security-capabilities/,RStudio on Amazon SageMaker now comes with new developer productivity and security capabilities,""" RStudio on Amazon SageMaker now comes with the new RStudio Workbench version 2022.02.2-485.pro2 with enhanced developer productivity and security capabilities. The new capabilities "
d5aa3a003ac3be0d5fbdb415ebd805dc61bbaa76,"Thu, 13 Oct 2022 19:00:10 +0000",amazon-machine-learning,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-rstudio-developer-productivity-security-capabilities/,RStudio on Amazon SageMaker now comes with new developer productivity and security capabilities,""" RStudio on Amazon SageMaker now comes with the new RStudio Workbench version 2022.02.2-485.pro2 with enhanced developer productivity and security capabilities. The new capabilities "
ec84d8944bd6fe7faafa516746e96a7470dd1685,"Tue, 27 Sep 2022 17:46:57 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-devops-guru-available-seven-additional-regions/, Amazon DevOps Guru now available in seven additional regions," Amazon DevOps Guru "
ccb0e496a5314517f437a03a7e5e3badb7b682c9,"Tue, 27 Sep 2022 21:57:59 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-kendra-releases-dropbox-connector/, Amazon Kendra releases Dropbox connector," Amazon Kendra "
cb708dbca05965050e398c06e98c756e54588af4,"Tue, 27 Sep 2022 18:59:57 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-devops-guru-rds-seven-regions/, Amazon DevOps Guru for RDS now available in seven more regions," Amazon DevOps Guru for RDS "
16921a0a3db9a3c445b2997d4614da4d2e10ca3a,"Mon, 26 Sep 2022 18:31:13 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-textract-self-service-quota-management-higher-default-quotas-select-regions/, Amazon Textract announces self-service quota management and higher default quotas in select AWS Regions.," Amazon Textract "
5cd87c069f20a6df9721e41f5fec2550c5285765,"Thu, 22 Sep 2022 17:10:26 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-polly-ntts-voices-available-paris-region/, Amazon Polly NTTS voices now available in the AWS Europe (Paris) Region," Amazon Polly "
7cd61fb35ff070975eb57b30c83bc7ef5f6366b7,"Wed, 21 Sep 2022 21:27:40 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-comprehend-supports-synchronous-processing-targeted-sentiment/, AWS Comprehend now supports synchronous processing for targeted sentiment," Amazon Comprehend customers can now extract the sentiments associated with entities from text documents in real-time using the newly released synchronous API. Targeted Sentiment synchronous API enables customers to derive granular sentiments associated with specific entities of interest "
67cd249bf3cf39c35b830a2bf9bac81e1f14d96e,"Tue, 20 Sep 2022 17:59:44 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-sagemaker-automatic-model-tuning-available-sagemaker-search/, Amazon SageMaker Automatic Model Tuning is now available through SageMaker Search," Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning is now integrated with the SageMaker Search API, which lets you quickly find and evaluate the most relevant model tuning jobs from potentially hundreds or thousands of them. Amazon Polly "
20a395c005162f4a425e34ac761b5b71fdbf378a,"Wed, 14 Sep 2022 21:05:13 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-visual-conversation-builder/, Introducing Visual Conversation builder for Amazon Lex," Amazon Lex "
bfc23248b3cddefe35eed2ae31275b9b8afa2aaa,"Fri, 09 Sep 2022 19:06:23 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-sagemaker-deploying-large-models-volume-size-timeout-quotas/, Amazon SageMaker now supports deploying large models through configurable volume size and timeout quotas, Amazon SageMaker enables customers to deploy ML models to make predictions (also known as inference) for any use case. You can now deploy large models (up to 500GB) for inference on Amazon SageMaker’s Real-time and Asynchronous Inference options by configuring the maximum EBS volume size and timeout quotas. This launch enables customers to leverage SageMaker's fully managed Real-time and Asynchronous inference capabilities to deploy and manage large ML models such as variants of GPT and OPT. Amazon Lex "
918ea35ebbc458ade19cc183bbdf589760f8d79e,"Fri, 09 Sep 2022 20:43:37 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-personalize-increases-limits-customers-large-scale-deployments/," Amazon Personalize increases limits for all customers, simplifying large scale deployments"," We are excited to announce that Amazon Personalize "
ad0cf7fe0d22c37c9ee0b7f6c85935e230e7e61c,"Thu, 08 Sep 2022 16:13:59 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/09/sagemaker-built-in-algorithms-tensorflow-image-classification-algorithms/, SageMaker built-in algorithms now provides TensorFlow Image Classification algorithms," Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text. Amazon Connect Voice ID now detects fraud risk from voice-based deception techniques such as voice manipulation during customer calls, helping you make your voice interactions more secure. For example, Voice ID can detect, in real-time, if an imposter is using a speech synthesizer to spoof a caller’s voice and bluff the agent or Interactive Voice Response (IVR) system. When such fraud is detected, Voice ID flags these calls as high risk in the Amazon Connect agent application, enabling you to take additional security measures or precautions. This feature works out-of-the-box once Voice ID fraud detection is enabled for a contact, and no additional configuration is required. We are excited to announce that you can now filter your data by its dimensions while using Amazon Lookout for Metrics. Amazon Lookout for Metrics uses machine learning (ML) to automatically monitor the metrics that are most important to businesses with greater speed and accuracy than traditional methods used for anomaly detection. The service also makes it easier to diagnose the root cause of anomalies like unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment transaction failures, increases in new user sign-ups, and many more. SageMaker Autopilot automatically builds, trains and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, when creating Autopilot experiment to train a machine learning model, you can customize the splits of data used for training and validation of models. By default Autopilot splits the specified dataset into 80-20 percent splits reserved for training and validation respectively. With this release, you can customize the training and validation data split percentages or alternatively provide two datasets, one for training and another for validation. This feature is available for use in both Amazon SageMaker Studio and SageMaker Autopilot API. Amazon SageMaker Automatic Model Tuning now reduces the start-up time of each training job launched to tune your models by 20x on average (from 2.5 minutes to 8 seconds). In scenarios where you have a large number of hyperparameter evaluations, the reuse of training instances can cumulatively save 2 hours for every 50 sequential evaluations. Amazon Polly "
3b756e37964c2df9c648ff633ad6d570b8d349a4,"Tue, 23 Aug 2022 18:08:05 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-forecast-what-if-analyses/, Amazon Forecast now supports what-if analyses," Now with Amazon Forecast, "
3967fe962aca5ef523c454d07d083ef3aa8537bd,"Wed, 17 Aug 2022 17:41:09 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-lex-conditional-branching-simplified-dialog-management/, Amazon Lex now supports conditional branching for simplified dialog management," Amazon Lex "
c3794044f68f2b69fd11651904441965d49325da,"Wed, 17 Aug 2022 16:13:09 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-ec2-p4d-instances-aws-govcloud-us-region/,Amazon EC2 P4d Instances now available in AWS GovCloud (US) Region, We are excited to announce the availability of Amazon EC2 P4d instances in the AWS GovCloud (US) Region. P4d instances are optimized for applications in Machine Learning (ML) and High Performance Computing (HPC). Amazon SageMaker Canvas "
d2148359407db39cd80aa0c6460f439c151ada18,"Wed, 17 Aug 2022 15:56:09 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-sagemaker-pipelines-testing-machine-learning-workflows-local-environment/, Amazon SageMaker Pipelines now supports the testing of machine learning workflows in your local environment," SageMaker Pipelines is a tool that helps you build machine learning pipelines that take advantage of direct SageMaker integration. SageMaker Pipelines now supports creating and testing pipelines in your local machine (e.g. your computer). With this launch, you can test your Sagemaker Pipelines scripts and parameters compatibility locally before running them in on SageMaker in the cloud. Sagemaker Pipelines Local Mode supports the following steps: processing, training, transform, model, condition, and fail. These steps give you the flexibility to define various entities in your machine learning workflow. Using Pipelines local mode, you can quickly and efficiently debug errors in the scripts and pipeline definition. You can seamlessly switch your workflows from local mode to Sagemaker’s managed environment by updating the session. We are excited to announce that Amazon Personalize "
39a7869da160e0dee3d708e91129ffca74222f29,"Fri, 12 Aug 2022 21:46:16 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-personalize-range-queries-dynamic-filters/, Amazon Personalize launches support for range queries on dynamic filters," Amazon Personalize "
c94e1dd1987f5a17cec298e8ebb71f2883ba9e22,"Tue, 09 Aug 2022 15:25:42 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-sagemaker-pipelines-sharing-pipeline-entities-across-accounts/, Amazon SageMaker Pipelines now supports sharing of pipeline entities across accounts," You can now use Amazon SageMaker Model Building Pipelines "
538cf83d076a3cf8a0b221a07b2ac488da33ff83,"Tue, 09 Aug 2022 21:57:17 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-sagemaker-automatic-model-tuning-alternate-sagemaker-instances-robust-tuning/, Amazon SageMaker Automatic Model Tuning now supports alternate SageMaker training instance types for more robust tuning, Amazon SageMaker Automatic Model Tuning now supports specifying multiple alternate SageMaker training instance types to make tuning jobs more robust when the preferred instance type is not available due to insufficient capacity. We’re excited to announce expanded capabilities for data preparation and analysis in Amazon SageMaker Canvas "
e8768146e80eb28171223dc6ea9ad76b76ccaf4c,"Wed, 03 Aug 2022 22:13:10 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-lookout-metrics-increased-quota-50k-500k-metrics/,AWS Lookout for Metrics announcing increased quota from 50K to 500K metrics," Amazon Lookout for Metrics "
9f2c53c68e410cd58a8384239e84d41d3dab3e04,"Wed, 03 Aug 2022 21:17:19 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-comprehend-lowers-annotation-limits-custom-entry-recognition-models/, AWS Comprehend lowers annotation limits for training custom entity recognition models," Amazon Comprehend is making it easier for customers to get started with custom entity recognition by reducing the annotation requirements for training their models. Amazon Comprehend "
fd5bb5bd80ea611a584f1dc69f9d38c7ab9d6b54,"Thu, 28 Jul 2022 20:15:49 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-sagemaker-canvas-encryption-managed-keys/, Amazon SageMaker Canvas announces encryption support with customer managed keys," We’re excited to announce the support for encryption at rest for datasets and machine learning (ML) models on Amazon SageMaker Canvas using customer managed keys with AWS Key Management Service (KMS). Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code. SageMaker Canvas makes it easy to access and combine data from a variety of sources, automatically clean data, and build ML models to generate accurate predictions with a few clicks. You can now create up to 10,000 Amazon S3 Access Points per region per account to manage granular access permissions across your different applications. In addition, access points now support Amazon SageMaker, Amazon Redshift, and Amazon CloudFront, helping you use access point aliases directly with your applications as a replacement for S3 bucket names. Today, we are excited to announce that Amazon Fraud Detector (AFD) now supports Account Takeover Insights (ATI) model, a low-latency fraud detection machine learning (ML) model specifically designed to detect accounts that have been compromised through stolen credentials, phishing, social engineering, or other forms of account takeover. The ATI model is designed to detect up to 4 times more ATI fraud than traditional rules-based account takeover solutions while minimizing the level of friction for legitimate users. Amazon SageMaker expands access to new ML instances so customers can deploy models on the best instance for their workloads. Now, customers can use ml.g5, ml.p4d, and ml.c6i instances for Asynchronous and Real-time model deployment options. Amazon SageMaker Automatic Model Tuning enables you to find the most accurate version of a machine learning (ML) model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning now supports increased limits for two service quotas, with up to 50% higher number of total training jobs that can be run per tuning job and maximum number of hyperparameters that can be searched per tuning job. Today, we are announcing the general availability of a new feature, Log Anomaly Detection and Recommendations for Amazon DevOps Guru. As part of this feature, DevOps Guru will ingest Amazon CloudWatch Logs for AWS resources that make up your application, with Lambda being first. Logs will provide new enrichment data in an insight to enable more accurate understanding of the root cause behind an application issue, and provide more precise remediation steps. Today, we’re pleased to announce that Amazon SageMaker Autopilot "
0b8c9c6d4108fee7d29848b16653dd2bc6a5738f,"Fri, 08 Jul 2022 22:15:28 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/07/announcing-heterogeneous-clusters-amazon-sagemaker-model-training/, Announcing Heterogeneous Clusters for Amazon SageMaker model training," Amazon SageMaker "
7e0e76a9f0979f25a077cb09db46408a1d35c9f2,"Wed, 06 Jul 2022 18:46:01 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-sagemaker-feature-supports-metadata-search/, Amazon SageMaker Feature Store now supports feature metadata and search," Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, search, and share machine learning (ML) features. The service provides feature management capabilities such as enabling easy feature reuse, low latency serving, time travel, and ensuring consistency between features used in training and inference workflows. A feature group is a logical grouping of ML features whose organization and structure is defined by a feature group schema. Until today, customers could add metadata tags only to feature groups which in turn enabled easy search and discovery of a feature group. To search for a specific feature however was more complicated. Customers needed to know which feature group the feature belongs and then scan for the relevant feature in the feature group, leading to additional overhead while searching for features.. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, search, and share machine learning (ML) features. The service provides feature management capabilities such as enabling easy feature reuse, low latency serving, time travel, and ensuring consistency between features used in training and inference workflows. A feature group is a logical grouping of ML features whose organization and structure is defined by a feature group schema. Until today, the features in a feature group were defined at the time of feature group creation, and the feature group schema was immutable. Amazon SageMaker Feature Store "
56181bd084b09e15d3e2f0bbabd41f2a7765c795,"Wed, 29 Jun 2022 21:55:26 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-development-environment-custom-image-rstudio/, Now bring your own development environment in a custom image to RStudio on Amazon SageMaker," Starting today, you can now bring your own development environment in a custom image to RStudio on Amazon SageMaker. RStudio on SageMaker is the industry’s first fully managed RStudio Workbench in cloud. You can quickly launch the familiar RStudio Integrated Development Environment (IDE), dial up and down the underlying compute resources without interrupting your work, and even switch to programming using Python on Amazon SageMaker Studio Notebooks. All your work, including code, datasets, repositories, and other artifacts are synchronized between the two environments. You can bring your current RStudio license to Amazon SageMaker "
20dd8b97c62ac4265fa8cd12b0f707d6bdb3c946,"Tue, 28 Jun 2022 21:18:31 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-built-in-algorithms-four-new-tabular-data-modeling-algorithms/, Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms," Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text. Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of 4 male Neural TTS voices: Liam for Canadian French, Arthur for UK English, Daniel for German and Pedro for US Spanish. Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in Asia Pacific (Mumbai, Tokyo), Europe (Frankfurt, London), and Canada (Central). G5 instances can be used for a wide range of graphics intensive and machine learning use cases. They deliver up to 3x higher performance for graphics-intensive applications and machine learning inference, and up to 3.3x higher performance for training simple to moderately complex machine learning models when compared to Amazon EC2 G4dn instances. Amazon SageMaker Ground Truth helps you build high-quality training datasets for your machine learning (ML) models. With SageMaker Ground Truth, you can use workers from Amazon Mechanical Turk, a vendor company that you choose, or your own private workforce to create labeled datasets for training ML models. We are excited to announce general availability of automatic chatbot designer in Amazon Lex, enabling developers to automatically design chatbots from conversation transcripts in hours rather than weeks. Introduced at re:Invent in December 2021, the automated chatbot designer enhances the usability of Amazon Lex by automating conversational design, minimizing developer effort and reducing the time it takes to design a chatbot. Amazon DevOps Guru for RDS "
aa35253764a12e2af127f456ac3460163f62650f,"Thu, 16 Jun 2022 17:34:24 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-data-wrangler-pyspark-altair-code-snippets-data-faster/, Use PySpark and Altair code snippets to prepare and visualize data faster than ever in Amazon SageMaker Data Wrangler," Today, we are making it faster and easier to prepare and visualize data using PySpark and Altair with support for code snippets in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, Databricks, and Snowflake. Amazon SageMaker Canvas "
8420c01b64feee3d09a057ad42ae9ac410cd27ce,"Fri, 10 Jun 2022 20:31:55 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-canvas-interactive-product-sample-datasets/, Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets," Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets for different use cases. Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate machine learning (ML) models for insights and predictions on their own — without requiring any machine learning experience or having to write a single line of code. SageMaker Experiments now supports granular metrics and graphs to help you better understand results from training jobs performed on SageMaker. Amazon SageMaker Experiments is a capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments. With this launch, you can now view precision and recall (PR) curves, receiver operating characteristics (ROC curve), and confusion matrix. You can use these curves to understand false positives/negatives, and tradeoffs between performance and accuracy for a model trained on SageMaker. You can also better compare multiple training runs and identify the best model for your use-case. Today we are announcing the general availability of splitting data into train and test splits with Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Snowflake, and Databricks Delta Lake. Today, you can export features into Amazon SageMaker Feature Store faster than ever with export functionality now available in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, and Snowflake. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features. Amazon Transcribe "
b709c674e25533845d963e9ecec3f0ba985734a7,"Tue, 07 Jun 2022 22:48:37 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-neptune-simplifies-graph-analytics-machine-learning-workflows-python-integration/, Amazon Neptune simplifies graph analytics and machine learning workflows with Python integration," You can now run graph analytics and machine learning tasks on graph data stored in Amazon Neptune using an open-source Python integration that simplifies data science and ML workflows. With this integration, you can read and write graph data stored in Neptune using Pandas DataFrames in any Python environment, such as a local Jupyter notebook instance, Amazon SageMaker Studio, AWS Lambda, or other compute resources. From there, you can run graph algorithms, such as PageRank and Connected Components, using open-source libraries like iGraph, NetworkX, and cuGraph. AWS DeepRacer Multi-user mode "
6cefd7f8d1ba087afee2304f33f2b8a44989313f,"Mon, 06 Jun 2022 21:15:20 +0000",amazon-machine-learning,,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-personalize-support-unstructured-text-six-new-languages/, Amazon Personalize adds support for unstructured text in six new languages," Amazon Personalize has extended support for unstructured text in six new languages - Spanish, German, French, Portuguese, Chinese (Simplified and Traditional) and Japanese. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Last year, Amazon Personalize launched support for unstructured text in English which enabled customers to unlock the information trapped in their product descriptions, reviews, movie synopses or other unstructured text to generate highly relevant recommendations for users. Amazon Personalize is now extending this support to unstructured text in six new languages allowing customers with global catalogues to use this feature. Customers provide unstructured text as a part of their catalogue and, using state-of-the-art natural language processing (NLP) techniques, Amazon Personalize automatically extracts key information about the items and uses it when generating recommendations for your users. Amazon Lookout for Metrics announces the launch of backtesting when using Amazon CloudWatch as a data source connector. Backesting is a new anomaly detection mode you can now select when setting up your detector. You can seamlessly connect to your data in CloudWatch to set up a highly accurate anomaly detector across metrics, dimensions, and namespaces of your choice. Amazon Lookout for Metrics "
efd637ad492b745553ecfa7ae115eab4c7738b9a,"Tue, 30 Aug 2022 22:03:05 +0000",amazon-macie,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-macie-tune-findings-allow-lists-enhances-machine-learning-models-identify-sensitive-data/," Amazon Macie adds ability to tune findings with allow lists, and enhances machine learning models to better identify sensitive data"," We are pleased to announce a new capability to create allow lists in Amazon Macie. You can now create and use allow lists "
9deaec9a78cf2e34c79750e607df10403968025b,"Tue, 26 Jul 2022 14:27:56 +0000",amazon-macie,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-macie-capability-securely-review-validate-sensitive-data-amazon-s3-object/,Amazon Macie introduces new capability to securely review and validate sensitive data found in an Amazon S3 object," We are pleased to announce a new capability in Amazon Macie that allows for one-click, temporary retrieval of up to 10 examples of sensitive data found in Amazon Simple Storage Service (Amazon S3) by Amazon Macie. This new capability enables you to more easily view and understand which contents of an S3 objects were identified to be sensitive, so you can review, validate, and quickly take action as needed. All sensitive data examples captured with this new capability are encrypted using customer-managed AWS Key Management Service (AWS KMS) keys and are temporarily viewable within the Amazon Macie console after being retrieved. Amazon Managed Blockchain (AMB) Hyperledger Fabric is now generally available in AWS Govcloud (US-West) Region, allowing customers in both the public and commercial sectors to create as well as manage production-grade blockchain infrastructure with just a few clicks. Starting today, Amazon MemoryDB for Redis "
9b092009da63ea68045307b5622ffb70f37f4018,"Tue, 06 Sep 2022 17:36:38 +0000",amazon-memorydb,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-controllers-kubernetes-ack-rds-lambda-step-functions-prometheus-kms/," AWS Controllers for Kubernetes (ACK) for Amazon RDS, AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus, and AWS KMS now generally available"," An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). Amazon MemoryDB for Redis is now a HIPAA (Health Insurance Portability and Accountability Act) eligible service. You can now use MemoryDB to store, process, and access protected health information (PHI) and power secure healthcare and life sciences applications. MemoryDB is a fully managed, Redis-compatible, in-memory database that provides low latency, high throughput, and durability at any scale. Amazon MemoryDB for Redis "
371e6096515c89cddb9f32c07cda75485f717559,"Thu, 13 Oct 2022 20:47:10 +0000",amazon-mq,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-lambda-event-filtering-amazon-msk-kafka-mq-apache-activemq-amazon-mq-rabbit-mq/,"AWS Lambda now supports event filtering for Amazon MSK, Self-Manged Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ as event sources"," AWS Lambda now supports content filtering options for Amazon MSK, Self-Managed Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ. With event pattern content filtering, customers can write complex rules so that their Lambda function is only invoked to process meaningful events. This helps reduce traffic to customers’ Lambda functions, simplifies code, and reduces overall cost. Filtering was already available for SQS, DynamoDB, and Kinesis as event sources for Lambda. AWS Lambda now supports content filtering options for Amazon MSK, Self-Managed Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ. With event pattern content filtering, customers can write complex rules so that their Lambda function is only invoked to process meaningful events. This helps reduce traffic to customers’ Lambda functions, simplifies code, and reduces overall cost. Filtering was already available for SQS, DynamoDB, and Kinesis as event sources for Lambda. AWS Lambda now supports content filtering options for Amazon MSK, Self-Managed Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ. With event pattern content filtering, customers can write complex rules so that their Lambda function is only invoked to process meaningful events. This helps reduce traffic to customers’ Lambda functions, simplifies code, and reduces overall cost. Filtering was already available for SQS, DynamoDB, and Kinesis as event sources for Lambda. AWS Lambda now supports content filtering options for Amazon MSK, Self-Managed Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ. With event pattern content filtering, customers can write complex rules so that their Lambda function is only invoked to process meaningful events. This helps reduce traffic to customers’ Lambda functions, simplifies code, and reduces overall cost. Filtering was already available for SQS, DynamoDB, and Kinesis as event sources for Lambda. Amazon MSK Serverless is now a HIPAA (Health Insurance Portability and Accountability Act) eligible service. This enables you to use Apache Kafka managed by Amazon MSK Serverless to store, process, and access protected health information (PHI) and power secure healthcare and life sciences applications. MSK Serverless is a cluster type for Amazon MSK that makes it easy for you to run Apache Kafka without having to manage and scale cluster capacity. AWS Lambda now supports custom Consumer Group IDs when using Amazon Managed Streaming for Apache Kafka (MSK) or Self-Managed Kafka as an event source. Kafka uses Consumer Group IDs to identify consumer membership and record consumer checkpoints. Using a custom Consumer Group ID is ideal for customers with workloads that require disaster recovery or fail‑over support. Amazon Managed Streaming for Apache Kafka Serverless (Amazon MSK Serverless) is now integrated with AWS CloudFormation and HashiCorp Terraform, which allows customers to describe and provision Amazon MSK Serverless clusters using code. These services make it easy to provision and configure Amazon MSK Serverless clusters in a repeatable, automated, and secure manner. "
d6e09961b52bd4292e388abb07b86afdab6d92bf,"Wed, 22 Jun 2022 21:39:08 +0000",amazon-msk,analytics,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-msk-adds-support-apache-kafka-version-3-1-1-3-2-0/,Amazon MSK adds support for Apache Kafka version 3.1.1 and 3.2.0," Amazon Managed Streaming for Apache Kafka "
775a99086b32b90098e53fc0fcd482b63b3dbae6,"Fri, 03 Jun 2022 15:48:21 +0000",amazon-msk,analytics,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-managed-streaming-apache-kafka-fedramp-compliant/, Amazon Managed Streaming for Apache Kafka is now FedRAMP compliant," Amazon Managed Streaming for Apache Kafka (Amazon MSK) is now authorized as FedRAMP "
52ea00b60770627a78bf012a0945ab1655019f47,"Wed, 27 Jul 2022 21:13:07 +0000",amazon-neptune,databases,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-neptune-global-database/, Announcing Amazon Neptune Global Database," Amazon Neptune now supports Global Database, allowing a single Neptune database to span multiple AWS Regions to provide disaster recovery in case of region-wide outages and enable low-latency global reads for applications with a global footprint. Neptune Global Database is available in the US East (Ohio), "
b709c674e25533845d963e9ecec3f0ba985734a7,"Tue, 07 Jun 2022 22:48:37 +0000",amazon-neptune,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-neptune-simplifies-graph-analytics-machine-learning-workflows-python-integration/, Amazon Neptune simplifies graph analytics and machine learning workflows with Python integration," You can now run graph analytics and machine learning tasks on graph data stored in Amazon Neptune using an open-source Python integration that simplifies data science and ML workflows. With this integration, you can read and write graph data stored in Neptune using Pandas DataFrames in any Python environment, such as a local Jupyter notebook instance, Amazon SageMaker Studio, AWS Lambda, or other compute resources. From there, you can run graph algorithms, such as PageRank and Connected Components, using open-source libraries like iGraph, NetworkX, and cuGraph. Amazon Nimble Studio now provides a Amazon Machine Image (AMI) running Windows Server 2022 in the "
1ed538a43c21513268c94f6e6732468ad2122ea6,"Fri, 29 Jul 2022 20:46:44 +0000",amazon-nimble-studio,media-services,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-nimble-studio-ec2-g3-g5-instances-virtual-workstations/,Amazon Nimble Studio now supports EC2 G3 and G5 instances for virtual workstations," Amazon Nimble Studio adds support for on-demand Amazon Elastic Compute Cloud (EC2) G3 and G5 instances, allowing customers to utilize additional GPU instance types for their creative projects. Artists depend on a mix of CPUs, RAM, and GPUs for their their creative needs. You can now access additional instance types such as the EC2 G3 and G5 instances (EC2 G5 instances utilize the NVIDIA A10G Tensor Core GPU), providing Nimble Studio customers greater flexibility to use the right resources for the project. Amazon OpenSearch Service "
5820f7185a6c7fb46c7842115bcec2e274ebd06f,"Thu, 28 Jul 2022 17:25:54 +0000",amazon-opensearch-service,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-opensearch-service-supports-version-1-3/,Amazon OpenSearch Service now supports OpenSearch version 1.3," You can now run OpenSearch and OpenSearch Dashboards version 1.3 on Amazon OpenSearch Service. This version includes several new features and improvements around observability, SQL and PPL, Alerting and Anomaly Detection. You can upgrade your domain seamlessly to OpenSearch version 1.3 from any of the previous OpenSearch versions, or from Elasticsearch versions 6.8 or 7.x directly, using the OpenSearch Service console or APIs. Amazon OpenSearch Service "
65851b1f0b29d71977121501cc7a5aec4c1a5258,"Wed, 06 Jul 2022 22:30:45 +0000",amazon-opensearch-service,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-opensearch-service-announces-quota-information/, Amazon OpenSearch Service announces the availability of quota information through Service Quotas," Amazon OpenSearch Service now allows users to view default quota and applied quota information through Service Quotas. Quotas, also referred to as limits in AWS services, are the maximum values for the resources, actions, and items in your AWS account. Each AWS service defines its quotas and establishes default values for those quotas. Depending on your business needs, you might need to increase your service quota values. Service Quotas enables you to look up your service quotas and to request quota increase. AWS Support might approve, deny, or partially approve your requests. Amazon OpenSearch Service now supports tag-based authorization for HTTP methods, making it easier for you to manage access control for data read and write operations. You can use Identity policies in AWS Identity and Access Management (IAM) to define permissions for read and write HTTP methods, allowing coarse-grained access control of data on your Amazon OpenSearch Service domains. Amazon OpenSearch Service now supports cross-cluster search across regions, enabling you to perform searches, aggregations, and visualizations across multiple domains in different regions with a single query. We are excited to announce that Amazon Personalize "
4af2082befeebdc1dc23639f355e67a5948d6d7f,"Mon, 29 Aug 2022 21:40:18 +0000",amazon-personalize,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-personalize-expands-number-events-filters-recommendations-relevant/, Amazon Personalize expands the number of events considered by filters to make recommendations even more relevant," Amazon Personalize has extended the capabilities of its filters, increasing limits and providing control over the number of interactions considered by each filter. Amazon Personalize filters improve the relevance of recommendations by removing products that users have already purchased, videos they have already watched, or other digital content they have already consumed in their recent interactions. Receiving repeated recommendations may be frustrating for users, which could lead to lower user engagement and lost revenue opportunities. Amazon Personalize now offers the option to extend the number of interactions considered by the filters to better capture users’ historical activity, particularly for use-cases where customers have a high volume of interactions. Filters now consider up to 100 interactions per user per event type. Today, Amazon Personalize is "
1146e11c50e502d4349627f0315f65778678e079,"Fri, 12 Aug 2022 22:11:16 +0000",amazon-personalize,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-personalize-rule-based-promotions-recommendations/, Amazon Personalize allows rule-based promotions in recommendations," Amazon Personalize now "
eb11721cf0930df96f2acda339e3787c6898167b,"Fri, 12 Aug 2022 18:06:16 +0000",amazon-personalize,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-personalize-incremental-bulk-dataset-imports/, Amazon Personalize now supports incremental bulk dataset imports," We are excited to announce that Amazon Personalize "
39a7869da160e0dee3d708e91129ffca74222f29,"Fri, 12 Aug 2022 21:46:16 +0000",amazon-personalize,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-personalize-range-queries-dynamic-filters/, Amazon Personalize launches support for range queries on dynamic filters," Amazon Personalize "
6cefd7f8d1ba087afee2304f33f2b8a44989313f,"Mon, 06 Jun 2022 21:15:20 +0000",amazon-personalize,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-personalize-support-unstructured-text-six-new-languages/, Amazon Personalize adds support for unstructured text in six new languages," Amazon Personalize has extended support for unstructured text in six new languages - Spanish, German, French, Portuguese, Chinese (Simplified and Traditional) and Japanese. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Last year, Amazon Personalize launched support for unstructured text in English which enabled customers to unlock the information trapped in their product descriptions, reviews, movie synopses or other unstructured text to generate highly relevant recommendations for users. Amazon Personalize is now extending this support to unstructured text in six new languages allowing customers with global catalogues to use this feature. Customers provide unstructured text as a part of their catalogue and, using state-of-the-art natural language processing (NLP) techniques, Amazon Personalize automatically extracts key information about the items and uses it when generating recommendations for your users. In addition to US East (Ohio) Region, Amazon Pinpoint is available in US East (Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London) Regions. With Amazon Pinpoint, you can engage your customers by segmenting your audience, building personalized content, creating targeted campaigns and journeys, and gathering actionable insights using email, SMS, voice, push notification, in-app messaging, and custom channels. Today we added features to the AWS console to help users register their toll-free numbers. In an effort to curb spam SMS and calling, United States toll-free numbers now must be registered with carriers. A new workflow will now enable Amazon Pinpoint users to submit a toll-free number registration directly from the AWS console in a few easy steps. Journeys in Amazon Pinpoint now allows customers to define a schedule for channel communications based on day of the week, and day of the year. In addition, Amazon Pinpoint has added two new journey sending limits to help customers control the volume of communications sent to a user. Amazon Pinpoint journeys are multi-step campaigns that send users on communication paths based on their actions or attributes. Journeys can use multiple channels including: SMS, email, push, and voice. Journeys are intended for customers who have user engagement use cases, and want to send targeted communications that drive high-value user actions. Amazon Polly "
c6310ae1a3d2971ce496f3ec7be4cd403fd75c4d,"Tue, 20 Sep 2022 16:26:23 +0000",amazon-polly,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-polly-cantonese-language-support/, Amazon Polly adds Cantonese language support," Amazon Polly "
fcd84bd90c5bde4430ab8aaaf627a63da731b2da,"Thu, 01 Sep 2022 17:10:04 +0000",amazon-polly,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-polly-ntts-voices-available-asia-pacific-mumbai/, Amazon Polly NTTS voices now available in Asia Pacific (Mumbai)," Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of all Neural Text-to-Speech (NTTS) voices in the Asia Pacific (Mumbai) Region. Amazon Polly "
3c1e8241e155d53344cf99f3bf55deec65a07c9a,"Wed, 27 Jul 2022 15:48:23 +0000",amazon-polly,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-polly-neural-tts-support-hindi-indian-english/, Amazon Polly now offers Neural TTS support for Hindi and Indian English," Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of Kajal, a new bilingual neural text to speech (TTS) voice supporting Hindi and Indian English. Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of 4 male Neural TTS voices: Liam for Canadian French, Arthur for UK English, Daniel for German and Pedro for US Spanish. QuickSight Q now supports questions for access restricted datasets that use Row level Security (RLS) with user based rules. Readers can now ask questions about Topics that contain restricted access datasets and instantly receive accurate and pertinent answers based on access control rules defined by authors in RLS settings. Authors can create Q Topics to answer questions on RLS enabled datasets without making any additional changes to existing rules. QuickSight Q leverages existing user based rules defined in RLS settings and enforces these rules not only on answers to questions but also on auto complete suggestions provided at the time of question framing. Therefore, Q Topics created with RLS enabled datasets always surface data that users are granted permission for. Amazon QuickSight "
97f11d700235709f184fb504c0dc7df1090b0559,"Thu, 08 Sep 2022 17:16:48 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-quicksight-q-available-new-regions/, Amazon QuickSight Q is now available in four new regions," QuickSight Q is now available in four new regions (in addition to six existing regions) - Asia Pacific (Mumbai, Singapore, Sydney) and Canada (Central). AWS customers can signup for QuickSight in these four new regions in addition to existing regions, details can also be found at AWS QuickSight Q regions. Get started with a free trial of Amazon QuickSight Q. QuickSight Authors can now better analyze user activity
0e3f3e93d541712af502cafa962e177c5987e4c1,"Tue, 30 Aug 2022 18:01:53 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-quicksight-launches-new-user-interface-dataset-management/, Amazon QuickSight launches a new user interface for dataset management," Amazon QuickSight launches a new user interface for dataset management. Previously, the dataset management experience was a popup dialog modal with limited space and all functionality shown up in one small modal. The new dataset management user interface replaces the existing popup dialog modal with a full-page experience, providing a clearer breakdown of dataset management categories, including Summary, Refresh, Permissions and Usage. This update also lays the foundation for future enhancement and features. For further details, visit here. Amazon QuickSight is changing the way users sign in to the service with a new look and feel that aligns the sign-in experience with existing AWS application sign-in patterns. The QuickSight sign-in process is now a three-step experience: 1) the first page requires your QuickSight account name, 2) the second page asks for your user name, 3) the third page varies depending on your sign in configuration: native QuickSight or Active Directory user, AWS root user, or IAM user. This change does not affect users who use single sign on (SSO.) Amazon QuickSight now supports fine-grained visual embedding, allowing you to embed individual visuals from QuickSight dashboards in applications and portals to provide key insights to users where they’re needed most. Amazon QuickSight "
504ec79b5d35915cfaf3141e9345acf33e7777a2,"Mon, 08 Aug 2022 20:05:44 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-quicksight-redesigned-dashboard-experience/, Amazon QuickSight launches redesigned dashboard experience," Amazon QuickSight "
d896a1ff45d72307db938f12eaa94c3a64c75f48,"Thu, 04 Aug 2022 19:13:20 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-quicksight-api-based-domain-listing-developers-scale-embedded-analytics-across-applications/, Amazon QuickSight launches API-based domain allow listing for developers to scale embedded analytics across different applications," Amazon QuickSight now supports API-based allow listing of domains where QuickSight data visualizations can be embedded. With this new capability, developers can scale their embedded analytics offerings including visuals, dashboards, QuickSight Q (natural language querying), and authoring experience across different applications for their different customers quickly. All of this is done without any infrastructure setup or management, while scaling to millions of users. For further details, visit the blog and the documentation. QuickSight Authors can now customize the look and feel of their maps by changing to any of the new base maps supported by Amazon QuickSight. Effective July 31, 2022, Amazon QuickSight is ending support for IE11. After that date, we can no longer guarantee that the features and webpages of Amazon QuickSight will function properly on IE 11. We recommend customers use one of our supported browsers: Microsoft Edge (Chromium), Google Chrome, or Mozilla Firefox. Amazon QuickSight "
7ac2ee214bce869584086a0145eaa8638bb5a406,"Thu, 30 Jun 2022 22:03:56 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-quicksight-authors-learn-experience-q-signing-up/, Amazon QuickSight Authors can now learn and experience Q before signing up," QuickSight Authors can now try, learn and experience Q before signing up. Authors can choose from six different sample topics to explore relevant dashboard visualizations and ask questions about data in the context of exploration to fully explore Q’s capability before signing up. This feature makes it easy for authors to understand and learn about Q before signing up. Amazon QuickSight launches a suite of functions called Level Aware Calculations (LAC). The new calculation capability enables customers to specify the level of granularity that they want the window functions (in what window to partition by) or aggregate functions (at what level to group by) to be conducted. This brings flexibility and simplification for users to build some advanced calculations and powerful analyses. Without LAC, user will have to prepare pre-aggregated tables in their original data source, or run queries in the data prep phase to enable those calculations. For further details, visit here. Amazon QuickSight now enables authors to setup rolling date to dynamically generate dashboard for end users. The rolling date functionality is now available for both date &"
d55c975a18e5ceeb95cce02bd386da0f8f472e1d,"Wed, 29 Jun 2022 12:16:21 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-quicksight-launches-level-aware-calculation-lac/, Amazon QuickSight launches Level Aware Calculation (LAC)," Amazon QuickSight launches a suite of functions called Level Aware Calculations (LAC). The new calculation enables customers to specify the level of granularity that they want the window functions (in what window to partition by) or aggregate functions (at what level to group by) to be conducted. This brings flexibility and simplification for users to build some advanced calculations and powerful analyses. Without LAC, user will have to prepare pre-aggregated tables in their original data source, or run queries in the data prep phase to enable those calculations. For further details, visit here. Amazon QuickSight launches a suite of functions called Level Aware Calculations (LAC). The new calculation enables customers to specify the level of granularity that they want the window functions (in what window to partition by) or aggregate functions (at what level to group by) to be conducted. This brings flexibility and simplification for users to build some advanced calculations and powerful analyses. Without LAC, user will have to prepare pre-aggregated tables in their original data source, or run queries in the data prep phase to enable those calculations. For further details, visit here. Amazon QuickSight now supports monitoring of QuickSight assets by sending metrics to Amazon CloudWatch. QuickSight developers and administrators can use these metrics to observe and respond to the availability and performance of their QuickSight ecosystem in near real time. They can monitor dataset ingestions, dashboards, and visuals to provide their readers with a consistent, performant, and uninterrupted experience on QuickSight. For more information, visit here. QuickSight Q can now accept full questions as input without requiring users to type them in when used in embedded mode. This new feature allows developers to create question as widgets at appropriate placements on their web applications making it easy for their users to discover the capability to ask questions about data within the current context of their user journey.
8ee0c2af57d98d762cd21966ffe63e075e5be45d,"Thu, 16 Jun 2022 16:46:07 +0000",amazon-quicksight,analytics,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-quicksight-supports-show-hide-fields-pivot-table/, Amazon Quicksight now supports show/hide fields on pivot table," Amazon QuickSight now provides authors the ability to show or hide any column, row or value fields from the field well context menu on pivot table visuals. This capability is currently supported in table visuals and this launch extends it to pivot table visuals. Readers and authors can now export the data to CSV and Excel from both table and pivot table from the context menu. Amazon QuickSight "
97a645a4af666bb12614694e718ac54d1347c324,"Fri, 14 Oct 2022 20:32:15 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-rds-automating-connectivity-set-up-existing-rds-aurora-database-ec2-compute-instance/,Amazon RDS now supports automating connectivity set up between an existing RDS or Aurora database and an EC2 compute instance,""" Starting today, you have the option to automatically set up connectivity between an existing Amazon Relational Database Services (Amazon RDS) or Amazon Aurora database and an Amazon Elastic Compute Cloud (Amazon EC2) compute instance. "
46ec59b1534614e688bb0f57b0044151623ac82a,"Tue, 11 Oct 2022 20:06:53 +0000",amazon-rds,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-automated-connection-solution-ec2-instance-rds-database/,Amazon EC2 now offers an automated connection set-up solution between EC2 instance and RDS Database,""" Starting today, in Amazon Elastic Compute Cloud (Amazon EC2), you have the option to automatically set up connectivity between the EC2 instances and an Amazon Relational Database Services (Amazon RDS) "
d093a47d9472d7628a1bff723612b1f873fa5d2e,"Fri, 16 Sep 2022 20:11:39 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-rds-mariadb-new-minor-versions/,"Amazon RDS for MariaDB supports new minor versions 10.5.17, 10.4.26, 10.3.36"," Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor versions 10.5.17, 10.4.26 and 10.3.36. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community. Amazon Relational Database Service (Amazon RDS) Performance Insights’ Top SQL tab shows the SQL queries that are contributing the most to database load. Starting today, we are increasing the top SQL queries displayed in Amazon RDS Performance Insights from 10 to 25. Amazon RDS Performance Insights "
9b092009da63ea68045307b5622ffb70f37f4018,"Tue, 06 Sep 2022 17:36:38 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-controllers-kubernetes-ack-rds-lambda-step-functions-prometheus-kms/," AWS Controllers for Kubernetes (ACK) for Amazon RDS, AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus, and AWS KMS now generally available"," An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports PostgreSQL minor version 14.4. We recommend you upgrade to this latest minor version to fix known security vulnerabilities and bugs from prior versions of PostgreSQL. Please refer to the PostgreSQL community announcement for more details about the release. Starting today, you have the option to automatically set up connectivity from Amazon Relational Database Services (Amazon RDS) "
1365cb1975b0b66cf4db83b02adf23c424c60e56,"Mon, 15 Aug 2022 21:06:17 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-rds-sql-server-m6i-r6i-r5b-instances-additional-regions/,"Amazon RDS for SQL Server supports M6i, R6i and R5b instances in additional regions"," Amazon RDS for SQL Server "
62102383e9e5ca3b84025fb716581ad479f05c7e,"Tue, 26 Jul 2022 21:10:34 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-rds-proxy-mariadb-version-10-support/,"Amazon RDS Proxy now supports Amazon RDS for MariaDB running on version 10.3, 10.4 or 10.5"," Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now support for Amazon RDS for MariaDB databases running on major versions 10.3, 10.4, or 10.5. With Amazon RDS Proxy, customers can make applications more scalable, more resilient to database failures, and more secure. The Amazon Relational Database Service (Amazon RDS) Multi-AZ deployment option with one primary and two readable standby database (DB) instances across three Availability Zones (AZs) is now available in Asia Pacific (Sydney) Region. This deployment option give you up to 2x faster transaction commit latency, automated fail overs typically under 35 seconds, and readable standby instances. Amazon Relational Database Service (Amazon RDS) Performance Insights is now available in the Asia Pacific (Jakarta) Region. Amazon RDS Performance Insights is a database performance tuning and monitoring feature of RDS and Aurora that helps you quickly assess the load on your database and determine when and where to take action. Amazon Relational Database Service (Amazon RDS) for MariaDB "
cc6356bd5034a196859ceeac2e1826ff4c84c149,"Wed, 06 Jul 2022 18:26:46 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-rds-performance-insights-additional-performance-history-retention-periods/, Amazon RDS Performance Insights supports additional performance history retention periods," Amazon Relational Database Service (Amazon RDS) Performance Insights now allows you to choose retention periods for your performance history that range from one month up to 24 months. You can also use the RDS Performance Insights free tier, which includes seven days of performance data history and one million API requests per month. We have also adjusted the pricing model, resulting in reduced pricing of 24-month retention for most instance types. Amazon Relational Database Service (Amazon RDS) Custom "
d2b8f515d4a85e9a81bbeb96072fc345c2faf52c,"Fri, 10 Jun 2022 20:35:48 +0000",amazon-rds,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-aurora-postgresql-supports-lo-module/, Amazon Aurora PostgreSQL supports LO module," Amazon Aurora PostgreSQL-Compatible Edition now supports the Large Objects (LO) module. The LO module provides support for managing Large Objects (also called LOs or BLOBs). Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 13.7, 12.11, 11.16, and 10.21. These releases contain bug fixes and improvements by the PostgreSQL community. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 8.0.30. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and, to benefit from the numerous fixes, performance improvements, and new functionality added by the MySQL community. Amazon RDS for MySQL supports encrypted SSL/TLS connections to the database instances. Starting today, you can enforce SSL/TLS client connections to your RDS for MySQL database instance for enhanced transport layer security. To enforce SSL/TLS, simply enable the require_secure_transport parameter (disabled by default) through the Amazon RDS Management Console, the AWS CLI or the API. When the require_secure_transport parameter is enabled, a database client will be able to connect to the RDS for MySQL instance only if it can establish an encrypted connection. To learn more about enforcing encrypted client connections using require_secure_transport parameter, please refer to the Amazon RDS User Guide. The Amazon Relational Database Service (Amazon RDS) Multi-AZ deployment option with one primary and two readable standby database (DB) instances across three Availability Zones (AZs) is now available in Asia Pacific (Sydney) Region. This deployment option give you up to 2x faster transaction commit latency, automated fail overs typically under 35 seconds, and readable standby instances. Amazon Relational Database Service (Amazon RDS) for PostgreSQL and for MySQL now supports Multi-AZ deployment option with one primary and two readable standby database (DB) instances in Europe (Frankfurt) and Europe (Stockholm) Regions. This deployment option gives you up to 2x lower transaction commit latency, automated fail overs typically under 35 seconds, and readable standby instances. The Amazon Relational Database Service (Amazon RDS) Multi-AZ deployment option with one primary and two readable standby database (DB) instances across three Availability Zones (AZs) now supports M5d and R5d instances. This deployment option gives you up to 2x lower transaction commit latency, automated fail overs typically under 35 seconds, and readable standby instances. Following the announcement of updates in MySQL database versions 5.7 and 8.0, we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.38, and 8.0.29. Amazon Relational Database Service (Amazon RDS) for Oracle "
2e3f15ff7472d253b0a7534288bb40b344c2f1ba,"Tue, 30 Aug 2022 19:36:31 +0000",amazon-rds-for-oracle,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-rds-oracle-m6i-r6i-instances-new-regions/,Amazon RDS for Oracle now supports M6i and R6i instances in new regions," Amazon Relational Database Service (Amazon RDS) for Oracle now supports M6i and R6i instances in new regions. In April 2022, Amazon RDS for Oracle has already launched the support of M6i and R6i instances in some regions. Starting today, Amazon Relational Database Service (Amazon RDS) for Oracle supports "
b9070c3c9917a1a993041dd76f9fc6f8111a4cf7,"Fri, 12 Aug 2022 21:08:16 +0000",amazon-rds-for-oracle,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-rds-custom-oracle-scale-compute/, Amazon RDS Custom for Oracle now supports Scale Compute," Amazon Relational Database Service (Amazon RDS) Custom for Oracle now supports Scale Compute operation. With this, you can now scale your Amazon RDS Custom for Oracle instance up or down. Amazon Relational Database Service (Amazon RDS) Custom for Oracle now "
915bc047e6fce68504be6b5b5d3dcd06f745a5f8,"Tue, 02 Aug 2022 16:20:54 +0000",amazon-rds-for-oracle,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-rds-oracle-april-2022-patch-set-update-19c-21c/,Amazon RDS for Oracle now supports April 2022 patch set update (PSU) for 12.1 and release updates (RU) for 19c & 21c," Amazon Relational Database Service (Amazon RDS) for Oracle "
9046bedd0a7d73624c6d3467e31b3c122039cb0d,"Wed, 22 Jun 2022 16:08:56 +0000",amazon-rds-for-oracle,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-rds-custom-oracle-supports-database-12-2-18c/,Amazon RDS Custom for Oracle now supports Oracle database 12.2 and 18c," Amazon Relational Database Service (Amazon RDS) Custom "
574b49956cc7bd220c935f6a3db6f5536d12f610,"Wed, 22 Jun 2022 19:27:51 +0000",amazon-rds-for-oracle,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-rds-custom-available-additional-aws-regions/,Amazon RDS Custom is now available in 2 additional AWS Regions," Amazon Relation Database Service (Amazon RDS) Custom is now available in Asia Pacific (Mumbai) and Europe (London) AWS Regions. New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server, offering "
8a25d53e30377fd514ea0bf8d90e28b3cc0dbe2f,"Mon, 19 Sep 2022 20:36:04 +0000",amazon-rds-for-sql-server,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-rds-proxy-rds-sql-server/, Amazon RDS Proxy now supports Amazon RDS for SQL Server," Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports "
f242538a7076de8991df2a43f165f705e8655281,"Fri, 26 Aug 2022 17:18:16 +0000",amazon-rds-for-sql-server,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-rds-sql-server-email-subscription-sql-server-reporting-services/, Amazon RDS for SQL Server now supports email subscription for SQL Server Reporting Services (SSRS)," Amazon Relational Database Service (Amazon RDS) for SQL Server now supports email subscription for SQL Server Reporting Services (SSRS). There is no additional cost to use the email subscription feature on your Amazon RDS for SQL Server DB instance. Amazon RDS for SQL Server "
65be3e1cbcaf8fe65d9699b350fdbc94f3fb23c1,"Thu, 04 Aug 2022 16:12:30 +0000",amazon-rds-for-sql-server,databases,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-rds-postgresql-supports-minor-versions/,"Amazon RDS for PostgreSQL supports new minor versions 14.3, 13.7, 12.11, 11.16, and 10.21"," Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports PostgreSQL minor versions 14.3, 13.7, 12.11, 11.16, and 10.21. We recommend you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes, performance improvements, and new functionality added by the PostgreSQL community. Please refer to the PostgreSQL community announcement for more details about the release. Amazon RDS now allows you to have up to 20 concurrent snapshot copy requests per destination region per account, an increase from the former limit of five concurrent copies per destination region per account. Amazon Relational Database Service (Amazon RDS) for SQL Server now supports TDE enabled database migrations using Native Backup/Restore for Microsoft SQL Server. Previously, you would need to disable TDE on your on-premises TDE enabled SQL Server database in order to migrate to Amazon RDS. A new minor version of Microsoft SQL Server is now available on Amazon Relational Database Service (Amazon RDS) for SQL Server, offering performance and security fixes. Amazon RDS for SQL Server supports the new minor version for Microsoft SQL Server 2014 on the Express, Web, Standard, and Enterprise Editions. Amazon Redshift Serverless now "
6781953f61ddad7a972d9edd44b7795b39374fca,"Mon, 19 Sep 2022 22:09:37 +0000",amazon-redshift,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-redshift-announces-enhanced-system-logs-consistent-durability/, Amazon Redshift announces enhanced system logs with consistent durability," Amazon Redshift customers use the system table/views (STL/SVL) to get insight into query executions for their performance and auditing needs. These system table/views are powered by system logs and generated by Amazon Redshift cluster. Amazon Redshift enhances the system log durability and now allows the users to fetch up to seven days of system log data irrespective of instance type, cluster size and workload on the cluster. The system logs are now also persisted across the pause and resume of your cluster. Amazon Redshift Query Editor v2 , a free web-based tool for data exploration and analysis using SQL, is now enhanced with additional ease of use and security capabilities. Amazon Redshift Query Editor v2 simplifies the process for admins and end-users to connect Amazon Redshift clusters using their Identity Provider(IdP). As an administrator, you now can integrate your Identity Provider(IdP) with Amazon AWS console to access the Query Editor v2 as a federated user. You need to configure your identity provider (IdP) to pass in database user and (optionally) database groups by adding specific principal tags as SAML attributes. You can now create up to 10,000 Amazon S3 Access Points per region per account to manage granular access permissions across your different applications. In addition, access points now support Amazon SageMaker, Amazon Redshift, and Amazon CloudFront, helping you use access point aliases directly with your applications as a replacement for S3 bucket names. The Amazon Redshift ODBC driver is now open source and available for the user community under the Apache-2.0 license. With this release, customers will gain enhanced visibility to the driver implementation and can contribute to its development. Users can browse the code for the ODBC driver on the relevant AWS GitHub repository, submit driver functionality enhancements through Github pull requests, and report issues for review. Amazon Redshift has improved the performance of Redshift’s classic resize feature and increased the flexibility of the cluster snapshot restore operation. Redshift classic resize is used to resize a cluster in scenarios where you need to change the instance type or transition to a configuration that cannot be supported by elastic resize. Previously, this can take the cluster offline for many hours during resize, but now the cluster can typically be available to process queries in minutes. Clusters can also be resized when restoring from a snapshot and in those cases there could be restrictions. Amazon Redshift "
54aa72a380672bd2e8c68b6a341d229161cf5409,"Tue, 12 Jul 2022 15:07:11 +0000",amazon-redshift,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/automated-materialized-view-amazon-redshift/, Announcing general availability (GA) of Automated Materialized View for Amazon Redshift," Amazon Redshift announces GA of Automated Materialized View "
4028d69937b3362147c1be5a93b055bbcfe9123a,"Tue, 12 Jul 2022 15:07:17 +0000",amazon-redshift,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-redshift-serverless-generally-available/, Amazon Redshift Serverless is now generally available," Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available. With Amazon Redshift Serverless, all users—including data analysts, developers, and data scientists—can now use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. Amazon Rekognition Custom Labels is an automated machine learning (AutoML) service that allows customers to build custom computer vision models to classify and identify objects in images that are specific and unique to their business. Custom Labels does not require customers to have any prior computer vision expertise or knowledge. Amazon Rekognition Custom Labels is an automated machine learning (AutoML) service that allows customers to build custom computer vision models to detect objects and scenes specific to their business without in-depth machine learning expertise. Starting today, Custom Labels can automatically scale inference units of a trained model based on customer workload. This reduces model inference cost as customers no longer need to over-provision inference units to support spiky or fluctuating image volumes. Today, AWS introduced DNS resource record set permissions, enabling customers to define AWS Identity and Access Management (IAM) create, edit, and delete policies for individual or groups of DNS record sets within a Route 53 public or private hosted zone. AWS has published a service level agreement (SLA) for Amazon Route 53 Resolver Endpoints, which provides availability guarantees for this service. AWS will use commercially reasonable efforts to make Amazon Route 53 Multi-AZ Resolver Endpoints available with a Monthly Uptime Percentage, during any monthly billing cycle, of at least 99.99% (the “Service Commitment”). In the event Amazon Route 53 Resolver Endpoints does not meet the Service Commitment, "
61e15ccdc5b20162896ead8fe6e74f387659078e,"Wed, 17 Aug 2022 16:35:09 +0000",amazon-route-53,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-resilience-hub-elastic-load-balancing-amazon-route-53-application-recovery-controller/,Announcing AWS Resilience Hub support for Elastic Load Balancing and Amazon Route 53 Application Recovery Controller," You can now use AWS Resilience Hub "
7d857d15f466c0d0aaf39cf1acbbea9e89d74fa2,"Fri, 15 Jul 2022 16:36:54 +0000",amazon-route-53,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-route-53-resolver-dns-firewall-asia-pacific-jakarta-region/,Amazon Route 53 Resolver DNS Firewall now available in the Asia Pacific (Jakarta) Region," Starting today, you can use Amazon Route 53 Resolver DNS Firewall in the Asia Pacific (Jakarta) Region. Amazon S3 Object Lambda "
2f1079d6139d3dacf67199ebf925bd0eae518492,"Wed, 28 Sep 2022 17:24:59 +0000",amazon-s3,storage,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-s3-replication-time-control-predictable-replication-beijing-ningxia-regions/,Amazon S3 Replication Time Control for predictable replication time now available in the AWS China (Beijing) and AWS China (Ningxia) Regions, Amazon S3 Replication Time Control (S3 RTC) now provides a predictable replication time backed by a Service Level Agreement (SLA)
e8ab1fb6c6760ad3e7b87d804c87c42821518cd3,"Thu, 28 Jul 2022 19:16:27 +0000",amazon-s3,storage,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-backup-supports-copying-amazon-s3-aws-regions-accounts/,AWS Backup now supports copying Amazon S3 backups across AWS Regions and accounts," AWS Backup "
d5aa3a003ac3be0d5fbdb415ebd805dc61bbaa76,"Thu, 13 Oct 2022 19:00:10 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-rstudio-developer-productivity-security-capabilities/,RStudio on Amazon SageMaker now comes with new developer productivity and security capabilities,""" RStudio on Amazon SageMaker now comes with the new RStudio Workbench version 2022.02.2-485.pro2 with enhanced developer productivity and security capabilities. The new capabilities "
d5aa3a003ac3be0d5fbdb415ebd805dc61bbaa76,"Thu, 13 Oct 2022 19:00:10 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-rstudio-developer-productivity-security-capabilities/,RStudio on Amazon SageMaker now comes with new developer productivity and security capabilities,""" RStudio on Amazon SageMaker now comes with the new RStudio Workbench version 2022.02.2-485.pro2 with enhanced developer productivity and security capabilities. The new capabilities "
28e1e4980d857be3977dc11f9d80aa99ef6a01b1,"Wed, 05 Oct 2022 20:10:55 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-clarify-provides-near-real-time-explanations-ml-predictions/,Amazon SageMaker Clarify now can provide near real-time explanations for ML predictions," We’re excited to announce that Amazon SageMaker Clarify supports online explainability by providing explanations for machine learning (ML) model’s individual predictions in near real-time on live endpoints. SageMaker Clarify gives ML developers greater visibility into their training data and models so they can identify potential bias and explain predictions. ML models may consider some feature inputs more strongly than others when generating predictions. SageMaker Clarify provides scores detailing which features contributed the most to your model’s individual prediction after the model has been run on new data. These details can help determine if a particular input features has more influence on the model predictions than expected. You can view these details for each prediction in real-time via online explainability or get a report in bulk that utilize batch processing of all the individual predictions. This new feature reduces latency for explanations from minutes to seconds or less. The possibilities for real-time explanations are broad. For example, customer service representatives can better understand the reasons why a customer may churn when they call for help resolving a problem in real time. As the representative learns more about the nature of the customer’s issue and enters that data, real-time explanations can provide updated reasoning for suggested resolutions. Today, we’re pleased to announce that Amazon SageMaker Autopilot has added a new training mode that supports model ensembling powered by AutoGluon. For "
67cd249bf3cf39c35b830a2bf9bac81e1f14d96e,"Tue, 20 Sep 2022 17:59:44 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-sagemaker-automatic-model-tuning-available-sagemaker-search/, Amazon SageMaker Automatic Model Tuning is now available through SageMaker Search," Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning is now integrated with the SageMaker Search API, which lets you quickly find and evaluate the most relevant model tuning jobs from potentially hundreds or thousands of them. Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. SageMaker Automatic Model Tuning now supports Hyperband, a new search strategy that can find the optimal set of hyperparameters up to 3x faster than Bayesian search for large-scale models such as deep neural networks that address computer vision problems. Amazon SageMaker enables customers to deploy ML models to make predictions (also known as inference) for any use case. You can now deploy large models (up to 500GB) for inference on Amazon SageMaker’s Real-time and Asynchronous Inference options by configuring the maximum EBS volume size and timeout quotas. This launch enables customers to leverage SageMaker's fully managed Real-time and Asynchronous inference capabilities to deploy and manage large ML models such as variants of GPT and OPT. Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text. SageMaker Autopilot automatically builds, trains and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, when creating Autopilot experiment to train a machine learning model, you can customize the splits of data used for training and validation of models. By default Autopilot splits the specified dataset into 80-20 percent splits reserved for training and validation respectively. With this release, you can customize the training and validation data split percentages or alternatively provide two datasets, one for training and another for validation. This feature is available for use in both Amazon SageMaker Studio and SageMaker Autopilot API. We are excited to announce that Amazon SageMaker Automatic Model Tuning is now available in the Europe (Milan), Africa (Cape Town), Asia Pacific (Osaka), and Asia Pacific (Jakarta) regions. Amazon SageMaker Automatic Model Tuning now reduces the start-up time of each training job launched to tune your models by 20x on average (from 2.5 minutes to 8 seconds). In scenarios where you have a large number of hyperparameter evaluations, the reuse of training instances can cumulatively save 2 hours for every 50 sequential evaluations. Amazon SageMaker is now available in the AWS Asia Pacific (Jakarta) Region. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. SageMaker Pipelines is a tool that helps you build machine learning pipelines that take advantage of direct SageMaker integration. SageMaker Pipelines now supports creating and testing pipelines in your local machine (e.g. your computer). With this launch, you can test your Sagemaker Pipelines scripts and parameters compatibility locally before running them in on SageMaker in the cloud. Sagemaker Pipelines Local Mode supports the following steps: processing, training, transform, model, condition, and fail. These steps give you the flexibility to define various entities in your machine learning workflow. Using Pipelines local mode, you can quickly and efficiently debug errors in the scripts and pipeline definition. You can seamlessly switch your workflows from local mode to Sagemaker’s managed environment by updating the session. You can now use Amazon SageMaker Model Building Pipelines "
538cf83d076a3cf8a0b221a07b2ac488da33ff83,"Tue, 09 Aug 2022 21:57:17 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-sagemaker-automatic-model-tuning-alternate-sagemaker-instances-robust-tuning/, Amazon SageMaker Automatic Model Tuning now supports alternate SageMaker training instance types for more robust tuning, Amazon SageMaker Automatic Model Tuning now supports specifying multiple alternate SageMaker training instance types to make tuning jobs more robust when the preferred instance type is not available due to insufficient capacity. You can now create up to 10,000 Amazon S3 Access Points per region per account to manage granular access permissions across your different applications. In addition, access points now support Amazon SageMaker, Amazon Redshift, and Amazon CloudFront, helping you use access point aliases directly with your applications as a replacement for S3 bucket names. Amazon SageMaker expands access to new ML instances so customers can deploy models on the best instance for their workloads. Now, customers can use ml.g5, ml.p4d, and ml.c6i instances for Asynchronous and Real-time model deployment options. Amazon SageMaker Automatic Model Tuning enables you to find the most accurate version of a machine learning (ML) model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning now supports increased limits for two service quotas, with up to 50% higher number of total training jobs that can be run per tuning job and maximum number of hyperparameters that can be searched per tuning job. Today, we’re pleased to announce that Amazon SageMaker Autopilot "
0b8c9c6d4108fee7d29848b16653dd2bc6a5738f,"Fri, 08 Jul 2022 22:15:28 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/07/announcing-heterogeneous-clusters-amazon-sagemaker-model-training/, Announcing Heterogeneous Clusters for Amazon SageMaker model training," Amazon SageMaker "
7e0e76a9f0979f25a077cb09db46408a1d35c9f2,"Wed, 06 Jul 2022 18:46:01 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-sagemaker-feature-supports-metadata-search/, Amazon SageMaker Feature Store now supports feature metadata and search," Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, search, and share machine learning (ML) features. The service provides feature management capabilities such as enabling easy feature reuse, low latency serving, time travel, and ensuring consistency between features used in training and inference workflows. A feature group is a logical grouping of ML features whose organization and structure is defined by a feature group schema. Until today, customers could add metadata tags only to feature groups which in turn enabled easy search and discovery of a feature group. To search for a specific feature however was more complicated. Customers needed to know which feature group the feature belongs and then scan for the relevant feature in the feature group, leading to additional overhead while searching for features.. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, search, and share machine learning (ML) features. The service provides feature management capabilities such as enabling easy feature reuse, low latency serving, time travel, and ensuring consistency between features used in training and inference workflows. A feature group is a logical grouping of ML features whose organization and structure is defined by a feature group schema. Until today, the features in a feature group were defined at the time of feature group creation, and the feature group schema was immutable. Amazon SageMaker Feature Store "
56181bd084b09e15d3e2f0bbabd41f2a7765c795,"Wed, 29 Jun 2022 21:55:26 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-development-environment-custom-image-rstudio/, Now bring your own development environment in a custom image to RStudio on Amazon SageMaker," Starting today, you can now bring your own development environment in a custom image to RStudio on Amazon SageMaker. RStudio on SageMaker is the industry’s first fully managed RStudio Workbench in cloud. You can quickly launch the familiar RStudio Integrated Development Environment (IDE), dial up and down the underlying compute resources without interrupting your work, and even switch to programming using Python on Amazon SageMaker Studio Notebooks. All your work, including code, datasets, repositories, and other artifacts are synchronized between the two environments. You can bring your current RStudio license to Amazon SageMaker "
20dd8b97c62ac4265fa8cd12b0f707d6bdb3c946,"Tue, 28 Jun 2022 21:18:31 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-built-in-algorithms-four-new-tabular-data-modeling-algorithms/, Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms," Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text. Amazon SageMaker Ground Truth helps you build high-quality training datasets for your machine learning (ML) models. With SageMaker Ground Truth, you can use workers from Amazon Mechanical Turk, a vendor company that you choose, or your own private workforce to create labeled datasets for training ML models. We are excited to announce that Amazon SageMaker Ground Truth now provides support so you can generate labeled synthetic data without collecting large amounts of real-world, manually labeled data. Amazon SageMaker provides two data labeling offerings, Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth. You can use both options to identify raw data (such as images, text files, and videos) and add informative labels to create high-quality training datasets for your machine learning (ML) models. Today, we are making it faster and easier to prepare and visualize data using PySpark and Altair with support for code snippets in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, Databricks, and Snowflake. Amazon SageMaker Canvas "
8420c01b64feee3d09a057ad42ae9ac410cd27ce,"Fri, 10 Jun 2022 20:31:55 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-sagemaker-canvas-interactive-product-sample-datasets/, Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets," Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets for different use cases. Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate machine learning (ML) models for insights and predictions on their own — without requiring any machine learning experience or having to write a single line of code. SageMaker Experiments now supports granular metrics and graphs to help you better understand results from training jobs performed on SageMaker. Amazon SageMaker Experiments is a capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments. With this launch, you can now view precision and recall (PR) curves, receiver operating characteristics (ROC curve), and confusion matrix. You can use these curves to understand false positives/negatives, and tradeoffs between performance and accuracy for a model trained on SageMaker. You can also better compare multiple training runs and identify the best model for your use-case. Today we are announcing the general availability of splitting data into train and test splits with Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Snowflake, and Databricks Delta Lake. Today, you can export features into Amazon SageMaker Feature Store faster than ever with export functionality now available in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, and Snowflake. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features. Starting today, you can invoke SageMaker Autopilot from SageMaker Data Wrangler to automatically train, tune and build machine learning models. SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Previously, customers used Data Wrangler to prepare their data for machine learning and Autopilot for training machine learning models independently. With this unified experience, you can now prepare your data in SageMaker Data Wrangler and easily export to SageMaker Autopilot for model training. With just a few clicks, you can automatically build, train, and tune machine learning models, making it easier to automatically employ state-of-the-art feature engineering techinques, train high quality machine learning models, and gain insights from your data faster. "
b709c674e25533845d963e9ecec3f0ba985734a7,"Tue, 07 Jun 2022 22:48:37 +0000",amazon-sagemaker,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-neptune-simplifies-graph-analytics-machine-learning-workflows-python-integration/, Amazon Neptune simplifies graph analytics and machine learning workflows with Python integration," You can now run graph analytics and machine learning tasks on graph data stored in Amazon Neptune using an open-source Python integration that simplifies data science and ML workflows. With this integration, you can read and write graph data stored in Neptune using Pandas DataFrames in any Python environment, such as a local Jupyter notebook instance, Amazon SageMaker Studio, AWS Lambda, or other compute resources. From there, you can run graph algorithms, such as PageRank and Connected Components, using open-source libraries like iGraph, NetworkX, and cuGraph. Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. The first option is fast start, collaborative notebooks accessible within Amazon SageMaker Studio - a fully integrated development environment (IDE) for machine learning. You can quickly launch notebooks in Studio, easily dial up or down the underlying compute resources without interrupting your work, and even share your notebook as a link in few simple clicks. In addition to creating notebooks, you can perform all the ML development steps to build, train, debug, track, deploy, and monitor your models in a single pane of glass in Studio. The second option is Amazon SageMaker Notebook Instance - a single, fully managed ML compute instance running notebooks in cloud, offering customers more control on their notebook configurations. Today, we are excited to announce that both SageMaker Studio and SageMaker Notebook Instance now come with JupyterLab 3 notebooks to boost productivity of data scientists and developers building ML models on SageMaker. Today, we’re pleased to announce that Amazon SageMaker Autopilot has added a new training mode that supports model ensembling powered by AutoGluon. For "
698898b510b090887cad95aca78ce607e3ab13e9,"Thu, 08 Sep 2022 20:20:39 +0000",amazon-sagemaker-canvas,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-sagemaker-canvas-additional-capabilities-explore-analyze-data-advanced-visualizations/, Amazon SageMaker Canvas announces additional capabilities to explore and analyze data with advanced visualizations," Amazon SageMaker Canvas announces additional capabilities for exploratory data analysis (EDA) with advanced visualizations, enabling you to explore and analyze your data better before building machine learning (ML) models. SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code. "
58f1e496b58a7c76c32d089c61e207388454efca,"Wed, 17 Aug 2022 19:19:09 +0000",amazon-sagemaker-canvas,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-sagemaker-canvas-enables-faster-onboarding-automatic-data-import-local-disk/, Amazon SageMaker Canvas enables faster onboarding with automatic data import from local disk," Amazon SageMaker Canvas "
ccc6afd179a0e6afcdbb2ca94f021fd603dea9d8,"Tue, 09 Aug 2022 22:16:17 +0000",amazon-sagemaker-canvas,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-sagemaker-canvas-expands-capabilities-prepare-analyze-data-machine-learning/, Amazon SageMaker Canvas expands capabilities to better prepare and analyze data for machine learning," We’re excited to announce expanded capabilities for data preparation and analysis in Amazon SageMaker Canvas "
fd5bb5bd80ea611a584f1dc69f9d38c7ab9d6b54,"Thu, 28 Jul 2022 20:15:49 +0000",amazon-sagemaker-canvas,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-sagemaker-canvas-encryption-managed-keys/, Amazon SageMaker Canvas announces encryption support with customer managed keys," We’re excited to announce the support for encryption at rest for datasets and machine learning (ML) models on Amazon SageMaker Canvas using customer managed keys with AWS Key Management Service (KMS). Amazon SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code. SageMaker Canvas makes it easy to access and combine data from a variety of sources, automatically clean data, and build ML models to generate accurate predictions with a few clicks. We’re excited to announce that Amazon SageMaker Clarify supports online explainability by providing explanations for machine learning (ML) model’s individual predictions in near real-time on live endpoints. SageMaker Clarify gives ML developers greater visibility into their training data and models so they can identify potential bias and explain predictions. ML models may consider some feature inputs more strongly than others when generating predictions. SageMaker Clarify provides scores detailing which features contributed the most to your model’s individual prediction after the model has been run on new data. These details can help determine if a particular input features has more influence on the model predictions than expected. You can view these details for each prediction in real-time via online explainability or get a report in bulk that utilize batch processing of all the individual predictions. This new feature reduces latency for explanations from minutes to seconds or less. The possibilities for real-time explanations are broad. For example, customer service representatives can better understand the reasons why a customer may churn when they call for help resolving a problem in real time. As the representative learns more about the nature of the customer’s issue and enters that data, real-time explanations can provide updated reasoning for suggested resolutions. Amazon SageMaker Data Wrangler reduces the time that it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization, from a single visual interface. You can import data from multiple data sources such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Snowflake, and 26 Federated Query data sources supported by Amazon Athena. Starting today, customers importing data from Athena data sources can configure S3 query output location and data retention period to control where and how long Athena stores the intermediary data. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization, from a single visual interface. Customers using Data Wrangler can import data from Amazon S3, Amazon Athena, Amazon Redshift, Snowflake, Databricks Lakehouse Platform and more coming. SageMaker Pipelines is a tool that helps you build machine learning pipelines that take advantage of direct SageMaker integration. SageMaker Pipelines now supports creating and testing pipelines in your local machine (e.g. your computer). With this launch, you can test your Sagemaker Pipelines scripts and parameters compatibility locally before running them in on SageMaker in the cloud. Sagemaker Pipelines Local Mode supports the following steps: processing, training, transform, model, condition, and fail. These steps give you the flexibility to define various entities in your machine learning workflow. Using Pipelines local mode, you can quickly and efficiently debug errors in the scripts and pipeline definition. You can seamlessly switch your workflows from local mode to Sagemaker’s managed environment by updating the session. You can now use Amazon SageMaker Model Building Pipelines "
fb6bd845fddb25a72c6c7c07c926cec39a191960,"Tue, 13 Sep 2022 17:01:03 +0000",amazon-sagemaker-studio,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/sagemaker-studio-supports-glue-interactive-sessions/, SageMaker Studio now supports Glue Interactive Sessions," Amazon SageMaker Studio is "
343c3740c9136a1070571c2617037df0aaae4fb1,"Thu, 08 Sep 2022 17:21:11 +0000",amazon-sagemaker-studio,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/track-user-identity-api-calls-amazon-sagemaker-studio-aws-cloudtrail/, Now track user identity for API calls from Amazon SageMaker Studio in AWS CloudTrail," Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning that enables data scientists and developers to perform every step of the machine learning workflow, from preparing data to building, training, tuning, and deploying models. SageMaker Studio is integrated with AWS CloudTrail to enable administrators to monitor and audit user activity and API calls from Studio notebooks, SageMaker Data Wrangler and SageMaker Canvas. Starting today, you can configure SageMaker Studio to also record the user identity (specifically, user profile name) in CloudTrail events thereby enabling administrators to attribute those events to specific users, thus improving their organization's security and governance posture. Amazon Simple Notification Service (Amazon SNS) now supports message signature based on SHA256 hashing, which provides security improvements over SHA1. To choose the hashing algorithm, either SHA256 or SHA1, you can use the SetTopicAttributes API action. Amazon SNS signs the messages delivered from your topic, so that the subscribed HTTP endpoints can verify the authenticity of the messages. Customers that use Amazon Simple Notification Service (Amazon SNS) can now host their applications in Europe (Milan), Africa (Cape Town), Asia Pacific (Osaka), and AWS GovCloud (US-East) regions, and send text messages "
075315128269d2f995286edff036f9b750fec52a,"Mon, 08 Aug 2022 20:49:29 +0000",amazon-simple-storage-service,storage,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-s3-policy-condition-key-require-restrict-server-side-encryption-customer-provided-keys-sse-c/,Amazon S3 adds a new policy condition key to require or restrict server-side encryption with customer-provided keys (SSE-C)," The new Amazon S3 condition key enables you to write policies that help you control the use of server-side encryption with customer-provided keys (SSE-C). Using Amazon S3 condition keys, you can specify conditions when granting permissions in the optional ‘Condition’ element of a bucket or an IAM policy. One such condition is to require server-side encryption (SSE) using your preferred encryption method. Amazon Simple Notification Service (Amazon SNS) "
59e1ec562f019e97bac06d1e92425644a2a80f77,"Wed, 05 Oct 2022 17:18:23 +0000",amazon-sqs,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sqs-announces-server-side-encryption-ssq-managed-sse-sqs-default/,Amazon SQS announces Server-Side Encryption with Amazon SQS-managed encryption keys (SSE-SQS) by default,""" As of November 23, 2021, Amazon Simple Queue Service (SQS) supported Server-Side Encryption with Amazon SQS-managed encryption keys (SSE-SQS) to protect sensitive data. Today, Amazon SQS announces SSE-SQS encryption by default for newly created queues. SSE-SQS can help you build security-sensitive applications to support your encryption compliance and regulatory requirements. Amazon SWF "
16921a0a3db9a3c445b2997d4614da4d2e10ca3a,"Mon, 26 Sep 2022 18:31:13 +0000",amazon-textract,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-textract-self-service-quota-management-higher-default-quotas-select-regions/, Amazon Textract announces self-service quota management and higher default quotas in select AWS Regions.," Amazon Textract "
cf05891772130e2e9cb937a123afed5c851b6fe7,"Fri, 23 Sep 2022 21:28:04 +0000",amazon-textract,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-textract-updates-text-extraction-feature/, Amazon Textract announces updates to the text extraction feature," Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce quality enhancements to our text extraction feature available via the DetectDocumentText API. You can now use Amazon Timestream in the Asia Pacific (Sydney) and Asia Pacific (Tokyo) AWS regions. Amazon Timestream is a serverless, fully managed, time series database for IoT, edge, and operational applications that can scale to process trillions of time series events per day up to 1,000 times faster than relational databases, and at as low as 1/10th the cost. Amazon Timestream will no longer charge customers for the dimension names and measure names associated with ingesting, storing, and querying data written after July 8, 2022 00:00 UTC. Dimension names and measure names are metadata that is used to identify time series data. With this change, Amazon Timestream provides customers increased flexibility in dimension and measure naming, as well as improved cost-effectiveness of the service. Amazon Timestream will continue to charge for ingesting, storing, and querying the dimension values, measure values, and timestamps associated with time series data. To learn more about costs while using Amazon Timestream, visit our pricing page. Amazon Transcribe "
0e26d7a2113480105c10459577bc1f47dae82d05,"Thu, 09 Jun 2022 22:01:40 +0000",amazon-transcribe,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-chime-sdk-supports-live-transcription-aws-govcloud-us/, Amazon Chime SDK now supports live transcription in AWS GovCloud (US)," Developers can now use live transcription with Amazon Chime SDK in AWS GovCloud (US) Regions to generate live audio transcriptions. The Amazon Chime SDK lets developers add intelligent real-time audio, video, and screen share to their web and mobile applications. AWS GovCloud (US) allows U.S. government agencies and contractors to move communication workloads into the cloud while addressing their specific regulatory and compliance requirements. Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are adding formality customization support for Dutch, Korean, and Mexican Spanish. We are also adding support for asynchronous batch translation. Now you can customize the formality of your translated output to suit your communication needs. Amazon Virtual Private Cloud (VPC) has introduced two new networking metrics"
93a62cd099ed9a9a7c33dda523f6afd4c9c5d065,"Tue, 04 Oct 2022 21:23:05 +0000",amazon-vpc,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-cloud-wan-available-asia-pacific-seoul-region/,AWS Cloud WAN is now available in AWS Asia Pacific (Seoul) Region,""" Starting today, AWS Cloud WAN "
839f4c5a0ae4ac6f6450d284b523ec2cb6b9ecf5,"Thu, 08 Sep 2022 19:23:39 +0000",amazon-vpc,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-transit-gateway-internet-group-management-protocol-igmp-multicast-support-additional-regions/, AWS Transit Gateway adds Internet Group Management Protocol (IGMP) Multicast support in two additional AWS regions, Starting today AWS Transit Gateway supports internet group management protocol (IGMP) multicast in Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions. You can now deliver Amazon Virtual Private Cloud (VPC) Flow Logs directly to Amazon Kinesis Firehose, allowing you to stream your flow logs real-time to destinations supported by Amazon Kinesis Firehose "
bed4c58dc9179af4a69cdf6be669e39339ae5368,"Thu, 08 Sep 2022 19:27:04 +0000",amazon-vpc,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-transit-gateway-two-additional-regions/, AWS Transit Gateway Connect is now available in two additional AWS Regions," Starting today, AWS Transit Gateway Connect "
ffb72cba0677c6dceeb12947e2bce0af34867b8e,"Thu, 18 Aug 2022 21:01:09 +0000",amazon-vpc,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-privatelink-integration-amazon-cloudwatch-contributor-insights/, AWS PrivateLink announces integration with Amazon CloudWatch Contributor Insights," You can now enable CloudWatch Contributor Insights on your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity service that enables customers to access AWS services, third-party services or internal enterprise services hosted on AWS in a secure and scalable manner while keeping network traffic private. CloudWatch Contributor Insights analyzes time-series data to report the top contributors and number of unique contributors in a dataset. Starting today, Amazon VPC Flow Logs adds support for Transit Gateway. With this feature, Transit Gateway can export detailed telemetry information such as source/destination IP addresses, ports, protocol, traffic counters, timestamps and various metadata for all of its network flows. This feature provides you with an AWS native tool to centrally export and inspect flow-level telemetry for all network traffic that is traversing between Amazon VPCs and your on-premises networks via your Transit Gateway. Starting today, Amazon Virtual Private Cloud (VPC) customers can create their own prefix lists in five additional AWS Regions: AWS Asia Pacific (Jakarta), AWS China (Beijing) region, operated by Sinnet and AWS China (Ningxia) region, operated by NWCD and both AWS GovCloud (US) regions. Starting today, AWS Site-to-Site VPN supports the ability to deploy IPSec VPN connections over Direct Connect using private IP addresses. With this change, customers can encrypt DX traffic between their on-premises network and AWS without the need for public IP addresses, thus enabling enhanced security and network privacy at the same time. AWS Backup "
676a13c6a85c9d8eb28b63cad15421cf9af57f6b,"Wed, 05 Oct 2022 17:09:17 +0000",amazon-workmail,business-productivity,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-workmail-supports-impersonation-roles/,Amazon WorkMail now supports Impersonation Roles," Amazon WorkMail now offers Impersonation Roles, a secure way to more easily grant programmatic access to mailboxes. Customers can use Impersonation Roles with Exchange Web Services (EWS) to perform impersonated actions in other users’ mailboxes. Administrators have the ability to limit the scope of Impersonation Roles to specific users, including choosing whether actions have full or read-only access. Amazon WorkMail now supports invoking AWS Lambda for user availability, through Custom Availability Provider Lambda (CAP Lambda). CAP Lambda are a new way for WorkMail to get availability information from external availability sources. A customer can use these CAP Lambda to give WorkMail access to availability information for users on other calendaring providers they own, even if their endpoints are private, or if they do not have an Exchange Web Services (EWS) endpoint. Amazon WorkMail now supports invoking AWS Lambda for user availability, through Custom Availability Provider Lambdas (CAP Lambdas). CAP Lambdas are a new way for WorkMail to get availability information from external availability sources. A customer can use these CAP Lambdas to give WorkMail access to availability information for users on other calendaring providers they own, even if their endpoints are private, or if they do not have an Exchange Web Services (EWS) endpoint. Amazon WorkSpaces is now available in the Africa (Cape Town) Region. This expansion into a new AWS Region allows you to provision WorkSpaces closer to your users, providing a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI). Amazon WorkSpaces Web is now generally available in AWS Canada (Central), Europe (Frankfurt), and Europe (London) regions. Creating a WorkSpaces Web portal in a local region provides a more responsive experience for users when streaming web content. It also enables customers to meet local data residency obligations. WorkSpaces Web is now available in a total of 10 regions. We are happy to announce the preview of Amazon WorkSpaces integration with SAML 2.0. WorkSpaces is a fully managed desktop virtualization service for Windows and Linux that enables you to access resources from any supported device. As an administrator, you can now enable SAML 2.0 authentication on your WorkSpaces directory to control end user access to desktops by using your SAML 2.0 identity provider (IdP). Amazon WorkSpaces now offers an API to create a new WorkSpace Image from a WorkSpace instance. Previously, this functionality was available only through the Amazon WorkSpaces console. After this launch, you can apply all the applications and operating system updates on a WorkSpace and use this API to create a new Image. Once the new image is created, you can test it before updating your production bundles or sharing the image with other AWS accounts. With this launch you can fully automate your WorkSpaces CI/CD pipelines and keep your WorkSpaces images up-to-date as per your regulatory standards. Amazon WorkSpaces Web is now generally available in AWS Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo) Regions. Creating a WorkSpaces Web portal in a local region provides a more responsive experience for users when streaming web content. It also enables customers to meet local data residency obligations. WorkSpaces Web is now available in a total of 7 regions. As of November 23, 2021, Amazon Simple Queue Service (SQS) supported Server-Side Encryption with Amazon SQS-managed encryption keys (SSE-SQS) to protect sensitive data. Today, Amazon SQS announces SSE-SQS encryption by default for newly created queues. SSE-SQS can help you build security-sensitive applications to support your encryption compliance and regulatory requirements. Amazon SWF "
1acc908d9704d157c148b47831cdc6874bfd29c0,"Thu, 08 Sep 2022 23:03:42 +0000",amazon-simple-notification-service,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-sns-preview-message-data-protection-sensitive-data-in-motion/, Amazon SNS introduces the public preview of message data protection to help discover and protect sensitive data in motion," Amazon Simple Notification Service (Amazon SNS) "
cb9992a0e349c850b64ac186ff51bcb4b4c0e501,"Wed, 31 Aug 2022 15:29:21 +0000",,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-open-sourced-credentials-fetcher-simplify-microsoft-ad-access-linux-containers/, AWS announces open-sourced credentials-fetcher to simplify Microsoft AD access from Linux containers," AWS announces the general availability of the credentials-fetcher open source project. As you modernize your .NET applications to Linux containers, you no longer need to worry about Microsoft Active Directory (AD) dependency. You can use credentials-fetcher to access AD from services hosted on Linux containers using the service account authentication model. This package makes it possible to create kerberos tickets specific to group managed service accounts (gMSAs) in applications running on Linux containers. As part of our launch, we have packaged credential-fetcher in RPM format and added it to Fedora Linux. You can install this package by using dnf install credentials-fetcher. AWS Step Functions "
628ef1e8002256406a750ae92dee766d5fad2b2b,"Thu, 11 Aug 2022 20:54:16 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-appflow-supports-zendesk-chat-sell-sources/, Amazon AppFlow now supports Zendesk Chat and Zendesk Sell as sources," Amazon AppFlow, a "
f1c8aea3ee3c4637885cae8b86b51833e3f9f19b,"Wed, 27 Jul 2022 21:05:11 +0000",amazon-simple-storage-service,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-s3-increases-access-points-redshift-cloudfront-sagemaker-feature-store/,"Amazon S3 increases the maximum number of S3 Access Points and adds support for Amazon Redshift, Amazon CloudFront, and Amazon SageMaker Feature Store"," You can now create up to 10,000 Amazon S3 Access Points per region per account to manage granular access permissions across your different applications. In addition, access points now support Amazon SageMaker, Amazon Redshift, and Amazon CloudFront, helping you use access point aliases directly with your applications as a replacement for S3 bucket names. Amazon EventBridge cross-Region routing allows customers to consolidate events from numerous regions into one central Region. This makes it easier for customers to centralize their events in the destination Region and write code that reacts to them or replicate events from source to destinations Regions to help synchronize data across Regions. Today, we are excited to announce availability of cross-Region routing in AWS GovCloud (US) Regions. Amazon Connect Wisdom "
75cf8da5fe172677f5af37e4feffd61a82d5e488,"Fri, 17 Jun 2022 15:30:41 +0000",amazon-appflow,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-appflow-supports-facebook-google-ads-mixpanel-sources/," Amazon AppFlow now supports Facebook Ads, Google Ads, and Mixpanel as sources"," Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Facebook Ads, Google Ads and Mixpanel as sources. With this launch, AppFlow customers can now ingest rich marketing and product analytics data from these sources. Once ingested, customers are able to integrate, enrich, and analyze this data in combination with data from a growing set of AppFlow-connected marketing applications such as Marketo, Salesforce Marketing Cloud, and web analytics applications such as Google Analytics. Amazon AppFlow, a fully managed integration service that helps customers securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Salesforce Marketing Cloud as a source. Salesforce Marketing Cloud is a leading marketing automation platform for B2B and B2C customers that helps companies deliver relevant, personalized journeys across channels and devices. With this launch, AppFlow customers can now ingest Salesforce Marketing Cloud data such as Campaigns and Activities into AWS where it may be further analyzed and enriched. With this launch, AppFlow is building upon its existing capabilities for data transfer with Salesforce applications. Starting today, the AWS Bills page has a re-designed user experience, making it easier to understand your AWS spend. The Bills page provides an overview of your AWS charges and the ability to drill into key details"
427c3b7145f8fdc13743bbc008802f15838a1232,"Tue, 02 Aug 2022 15:45:14 +0000",aws-amplify,front-end-web-and-mobile,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-amplify-flutter-announces-web-desktop-support-preview-authentication/, AWS Amplify Flutter announces web and desktop support (Developer Preview) for Authentication," AWS Amplify is announcing a developer preview to expand Flutter support to web and desktop, starting with the Authentication category. With this release, developers can use Amplify to create new Flutter apps that support web and desktop in addition to mobile platforms. Developers can also extend existing mobile Amplify Flutter projects to support web and desktop. "
435bd979e03dc07b77861b943d03eb0f34332fe9,"Thu, 30 Jun 2022 16:22:46 +0000",aws-amplify,front-end-web-and-mobile,https://aws.amazon.com/about-aws/whats-new/2022/06/general-availability-amplify-ui-react/, Announcing general availability of Amplify UI for React," Amplify UI is an open-source UI library that brings the simplicity and extensibility of AWS Amplify to UI development. It consists of connected components that simplify complex workflows like authentication and dynamic data, primitive components that form the building blocks to create consistency across applications, and themes to make Amplify UI to fit any brand. AWS App Mesh is now available in Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions. AWS App Mesh is a service mesh that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. AWS App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications. AWS App Mesh adds support for multiple listeners, allowing you to run applications with several open ports in a mesh. This enables you to control and secure inbound and outbound traffic for different application ports, as well as to collect port-specific metrics for this traffic. AWS App Mesh is a service mesh that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. AWS App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications. AWS App Mesh introduces support for customizable Envoy access log format for Virtual Nodes and Virtual Gateways. It enables you to diagnose your services with customized logging focusing on specific aspects that are important to you. AWS App Mesh is a service mesh that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. AWS App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications. AWS customers can now download and use the latest version, v1.22, of AWS Copilot, a command line interface (CLI) for containerized applications. AWS Copilot makes it easier for customers to build, deploy, and operate containerized applications on AWS by providing a common application architecture and infrastructure patterns, user-friendly operational workflows, and set up of continuous delivery pipelines. The new release helps Copilot users leverage IAM permission boundaries to comply with their organization’s security requirements and service control policies, build event-driven services when order of operations and events is critical, and achieve a low-latency content delivery for their public HTTPS web services. AWS App Runner adds Node.js v16 managed runtime for building and running node.js based web applications and APIs. App Runner allows you to deploy your application from source code or a container image directly in the AWS cloud. Regardless of the source type, App Runner takes care of starting, running, scaling, and load balancing your service. App Runner provides convenient platform-specific managed runtimes. Each one of these runtimes builds a container image from your source code and adds language runtime dependencies into your image. App Runner uses the managed runtime to build and deploy your application alleviating the need for you to develop and manage your own Dockerfiles. AWS App Runner now supports Amazon ECR "
6fe3ccd33ad3551ba1495bdf68f32db7ccb001a2,"Tue, 06 Sep 2022 17:57:38 +0000",aws-app-runner,compute,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-app-runner-supports-amazon-route-53-alias-record-root-domain-name/,AWS App Runner now supports Amazon Route 53 alias record for root domain name," AWS App Runner now supports Amazon Route 53 alias records for creating a root domain name. App Runner makes it easy for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without having to manage infrastructure. When you create an App Runner service, by default, App Runner allocates a domain name to your service. If you have your own domain name, you can associate it to your App Runner service as a custom domain name. Now, you can use Amazon Route 53 alias record to create a root domain or subdomain for your App Runner service. For example, with alias records your App Runner service can now directly listen on example.com which was not possible with only CNAME record support which requires you to prepend a hostname such as acme.example.com. Amazon CloudWatch Evidently adds support for Client Side Evaluations (CSE) for AWS Lambda, powered by AWS AppConfig. Evidently is an application performance monitoring (APM) capability that makes it easier for customers to introduce experiments and launches in their application code. Powered by AppConfig Extensions, Evidently CSE allows application developers to generate feature-evaluations in single-digit milliseconds from within their own Lambda functions. AWS AppConfig, a capability of AWS Systems Manager, allows customers to configure, validate, and deploy feature flags to more safely and quickly update application behavior. AWS announces AWS AppConfig Extensions, a new capability that allows customers to enhance and extend the capabilities of feature flags and dynamic runtime configuration data. AWS AppConfig, a capability of AWS Systems Manager, allows customers to configure, validate, and deploy configuration data to more safely and quickly update application behavior. The AppConfig Extensions framework exposes action points along the lifecycle of feature flags and configuration data"
c38c4b8d5499a4eb547a2a17f0963ef313de521b,"Mon, 29 Aug 2022 16:54:44 +0000",aws-application-discovery-service,migration,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-application-discovery-service-agentless-collector-discovery-tool-application-discovery-service/," Introducing AWS Application Discovery Service Agentless Collector, a new discovery tool for AWS Application Discovery Service"," AWS Application Discovery Service now includes the Application Discovery Service Agentless Collector to support enterprise customers gathering information for their migration projects. Deployment occurs via a virtual appliance installed within the user’s on-premises data centers, allowing one install to monitor hundreds of servers. AWS Application Migration Service (AWS MGN) is now available in the Asia Pacific (Jakarta) Region. With this launch, Application Migration Service is available in all commercial AWS Regions. AWS Application Migration Service (AWS MGN) now supports automatically tagging your migrated resources for AWS Migration Acceleration Program "
c4b1acc2583143ad6d305674e091eadc9482cbd5,"Wed, 29 Jun 2022 16:09:50 +0000",aws-application-migration-service,migration,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-application-migration-service-in-scope-aws-soc-reports-supports-temporary-iam-credentials/, AWS Application Migration Service is now in scope for AWS SOC reports and supports temporary IAM credentials," You can now use AWS Application Migration Service (AWS MGN) for use cases that are subject to System and Organization Controls (SOC) reporting. You can also now install the AWS Application Migration Service agent on your source servers using AWS Identity and Access Management (IAM) temporary security credentials with limited permissions. AWS Application Migration Service allows you to quickly migrate and modernize applications on AWS. AWS Application Migration Service is announcing support for new automated application modernizations. AWS Application Migration Service allows you to quickly rehost applications on AWS. It automatically converts your source servers from physical, virtual, or cloud infrastructure to run natively on AWS. AWS AppSync is a fully managed service that makes it easy to create and manage GraphQL and Pub/Sub APIs, allowing developers to securely access, manipulate, and combine data from one or more data sources via a single API endpoint. With GraphQL, developers write resolvers that fetch data from backend data sources such as Amazon DynamoDB, AWS Lambda, HTTP APIs, and more. To “resolve” a GraphQL query at run-time, AppSync evaluates the resolver code with the contextual information about the query (e.g.: the context). AppSync resolvers are written in the Velocity Template Language (VTL) and support flexible integrated utilities that allow developers to parse (e.g.: $util.parseJson), convert (e.g.: $util.toJson), generate (e.g.: $util.autoId and $util.autoUlid), and log data (e.g.: $util.log). Today, we are announcing the availability of AWS Backup Audit Manager "
83a0a738a3432f8a687891c240ac2be3a2c98e15,"Fri, 22 Jul 2022 17:43:02 +0000",aws-audit-manager,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-backup-audit-manager-fsx-netapp-ontap/, AWS Backup Audit Manager adds support for Amazon FSx for NetApp ONTAP," AWS Backup Audit Manager "
894222bc5ecba5bc1c9386c23636d2147f2394a8,"Wed, 29 Jun 2022 22:36:41 +0000",aws-audit-manager,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-backup-audit-manager-adds-audit-recovery-point-objective-rpo/, AWS Backup Audit Manager adds new control to audit recovery point objective (RPO)," AWS Backup Audit Manager adds a new control that you can use to audit and report on the recovery point objective (RPO) of your backups. With this launch, you can now specify your organizational recovery point objectives for your resources and evaluate whether your recovery points are in compliance. AWS Backup now offers a new Backup Vault Lock console experience that provides you a more intuitive way to configure your vault lock details. AWS Backup Vault Lock allows "
28f1e118027831e54b663623efb26793ae3d5e7e,"Wed, 14 Sep 2022 20:39:56 +0000",aws-backup,storage,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-backup-audit-manager-available-africa-cape-town-europe-milan/, AWS Backup Audit Manager is now available in Africa (Cape Town) and Europe (Milan)," Today, we are announcing the availability of AWS Backup Audit Manager "
c982846554b9b7382f4f873571193712d67db0a8,"Thu, 08 Sep 2022 19:20:34 +0000",aws-backup,storage,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-backup-amazon-cloudwatch-metrics-console-dashboard/, AWS Backup adds Amazon CloudWatch metrics to its console dashboard," AWS Backup now provides you a way to centrally view your Amazon CloudWatch metrics for your data protection jobs directly in the AWS Backup console. With this launch, you can monitor your data protection metrics (of backup, copy, and restore jobs) for all the AWS Backup supported services, spanning compute, storage, databases, and third-party applications. To drill down to a custom view, you can add your tracked metrics to a custom CloudWatch Dashboard using the ""Add to dashboard"" capability. AWS Backup "
83a0a738a3432f8a687891c240ac2be3a2c98e15,"Fri, 22 Jul 2022 17:43:02 +0000",aws-backup,storage,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-backup-audit-manager-fsx-netapp-ontap/, AWS Backup Audit Manager adds support for Amazon FSx for NetApp ONTAP," AWS Backup Audit Manager "
894222bc5ecba5bc1c9386c23636d2147f2394a8,"Fri, 01 Jul 2022 22:55:24 +0000",aws-backup,storage,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-backup-audit-manager-adds-audit-recovery-point-objective-rpo/, AWS Backup Audit Manager adds new control to audit recovery point objective (RPO)," AWS Backup Audit Manager adds a new control that you can use to audit and report on the recovery point objective (RPO) of your backups. With this launch, you can now specify your organizational recovery point objectives for your resources and evaluate whether your recovery points are in compliance. AWS Backup "
3b29a75c649b5c92a2c3f4ae98a61ed482388c32,"Fri, 16 Sep 2022 20:53:59 +0000",aws-batch,compute,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-batch-extends-job-report-retention-period-24-hours-7-days/,AWS Batch extends the job report retention period from 24 hours to 7 days," AWS Batch has increased the job report retention period from 24 hours to 7 days. This means that you can now query the details for AWS Batch jobs that were completed up to 7 days ago. With this longer retention period, you no longer need to worry about jobs disappearing after a day. You can query jobs a few days after submitting them, and have greater visibility over the jobs that you submitted throughout the week. Starting today, you can now budget by two new dimensions, invoicing entity and legal entity, in AWS Budgets. This additional granularity allows you to setup specific budget thresholds according to your invoice issuer using invoicing entity or AWS Marketplace seller using legal entity. Once you’ve saved your budget, you can then receive alerts when your actual costs exceed (or are forecasted to exceed) your budget thresholds. AWS Budgets is generally available in all public AWS Regions. Starting today, you can create budgets using a simplified 1-click workflow for common budgeting scenarios as well as take step-by-step tutorials to learn about creating different kinds of budgets. AWS Budgets "
39c8e3afa9d043a58aae79a8477528e5cbd1e1db,"Thu, 16 Jun 2022 16:57:17 +0000",aws-budgets,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-budgets-ui-improvements/, UI Improvements in AWS Budgets," AWS Budgets "
94c3aef53c04c36f7755da114f262a9b6145a27d,"Wed, 14 Sep 2022 19:55:20 +0000",aws-certificate-manager,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-certificate-manager-nitro-enclaves-supports-apache-http-webservers/, AWS Certificate Manager (ACM) for Nitro Enclaves now supports Apache HTTP webservers," You can now use Apache HTTP webservers "
2fd0c0b218d025ac3d43ade8bb9d5ba52d189cce,"Mon, 20 Jun 2022 22:02:18 +0000",aws-chatbot,artificial-intelligence,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-lex-automated-chatbox-designer-available/, Amazon Lex Automated Chatbot Designer is now generally available," We are excited to announce general availability of automatic chatbot designer in Amazon Lex, enabling developers to automatically design chatbots from conversation transcripts in hours rather than weeks. Introduced at re:Invent in December 2021, the automated chatbot designer enhances the usability of Amazon Lex by automating conversational design, minimizing developer effort and reducing the time it takes to design a chatbot. Customers using CDK want a simple way to map the resources synthesized in a CloudFormation template back to the source CDK Construct. In an effort to display all resources in a CloudFormation template the Management Console loses the hierarchical nature of CDK Constructs, which customers are used to today. CDK Construct tree view in the CloudFormation console is intended for the customers who want to observe the context from which the resources were created to the CloudFormation console, in order to provide a better, focused experience. AWS Cloud Map is now available in Middle East (UAE) AWS Region. AWS Cloud Map is a cloud resource discovery service. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or other cloud resource. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API queries. AWS Cloud Map is now available in Middle East (UAE) AWS Region. AWS Cloud Map is a cloud resource discovery service. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or other cloud resource. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API queries. AWS Cloud Map is now available in Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions. AWS Cloud Map is a cloud resource discovery service. With AWS Cloud Map, you can define custom names for your application resources, such as Amazon Elastic Container Services (Amazon ECS) tasks, Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon DynamoDB tables, or other cloud resource. You can then use these custom names to discover the location and metadata of cloud resources from your applications using AWS SDK and authenticated API queries. Starting today, AWS Cloud WAN "
2c54dc95d552011a94539bf7272cd21976307d75,"Mon, 08 Aug 2022 22:12:53 +0000",aws-cloud-wan,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-direct-connect-expands-transit-gateway-support-connection-speeds/, AWS Direct Connect expands AWS Transit Gateway support at more connection speeds," AWS Direct Connect "
235efa68221b7a60f90a496acaf76928fcf8e0ec,"Tue, 12 Jul 2022 14:39:04 +0000",aws-cloud-wan,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/07/general-availability-aws-cloud-wan/, Announcing the general availability of AWS Cloud WAN," Today, AWS announced the general availability of AWS Cloud WAN, a wide area networking (WAN) service that helps you build, manage, and monitor a unified global network. "
808dcbd605ed6e1753015ce1e96e6cbdd9fb1254,"Tue, 11 Oct 2022 17:02:11 +0000",aws-cloudformation,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-cloudformation-stacksets-increases-limits-three-service-quotas/,AWS CloudFormation StackSets increases limits on three service quotas,""" Today, AWS CloudFormation StackSets "
3b85cc16743c32211e78ce980dae2cc7ad1bf977,"Wed, 21 Sep 2022 20:32:00 +0000",aws-cloudformation,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-cloudformation-event-notifications-available-jakarta-region/, AWS CloudFormation event notifications is now available in the AWS Asia Pacific (Jakarta) Region," AWS CloudFormation "
c725ab8a5205c287105b9f8bb2e3c932561c369b,"Wed, 14 Sep 2022 17:03:14 +0000",aws-cloudformation,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-cloud-development-kit-cdk-announces-cdk-construct-tree-view-cloudformation-console/, AWS Cloud Development Kit (CDK) announces CDK Construct tree view in the AWS CloudFormation console," Customers using CDK want a simple way to map the resources synthesized in a CloudFormation template back to the source CDK Construct. In an effort to display all resources in a CloudFormation template the Management Console loses the hierarchical nature of CDK Constructs, which customers are used to today. CDK Construct tree view in the CloudFormation console is intended for the customers who want to observe the context from which the resources were created to the CloudFormation console, in order to provide a better, focused experience. AWS CloudFormation announces the general availability of a new transform supporting extensions to the CloudFormation template language. AWS CloudFormation is an Infrastructure as Code (IaC) service that lets you model, provision, and manage AWS and third-party resources by authoring templates which are formatted text files in JSON or YAML. This release introduces a language transform called 'AWS::LanguageExtensions.' When declared in a template, the transform enables extensions to the template language. At launch, these include: new intrinsic functions for length (Fn::Length) and JSON string conversion (Fn::ToJsonString), and support for intrinsic functions and pseudo-parameter references in update and deletion policies. Amazon Managed Streaming for Apache Kafka Serverless (Amazon MSK Serverless) is now integrated with AWS CloudFormation and HashiCorp Terraform, which allows customers to describe and provision Amazon MSK Serverless clusters using code. These services make it easy to provision and configure Amazon MSK Serverless clusters in a repeatable, automated, and secure manner. "
b2bdd75bd9cd3e567975e93da8e49ed78a4daae3,"Tue, 02 Aug 2022 15:58:31 +0000",aws-cloudformation,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/08/build-aws-config-rules-cloudformation-guard/, Build AWS Config rules using AWS CloudFormation Guard," AWS Config now supports an easier way to author custom AWS Config rules using AWS CloudFormation Guard (cfn-guard). With this release, users with limited programming experience can use Guard to define and review custom policies that check your resources have desired configurations. AWS Config rules are a way of creating and implementing compliance policies against resource configurations. Currently, AWS Config offers both managed rules, which AWS builds and maintains to meet common compliance use cases, and custom rules, which users create to meet their specific compliance needs. Guard is an open source tool offering policy-as-code, such that users can define policies to validate JSON- or YAML-formatted data using a domain-specific language (DSL). AWS CloudFormation StackSets launched a new feature that allows you to deploy stack sets to selected AWS accounts in an Organizational Unit (OU) in a single operation. You can use this feature to target or skip stack sets deployment to AWS accounts within an OU. For example, you can use this feature to skip deployment of an AWS Config policy in AWS accounts that already have the policy within an OU. In a few clicks, you can re-deploy stack sets to those AWS accounts in which the earlier stack sets deployment had failed. Similarly, you can skip stack set deployment to suspended AWS accounts in an OU. AWS CloudFormation has expanded the availability of StackSets to the AWS Asia Pacific (Jakarta) Region. StackSets allows you to provision and manage deployment of cloud resources to multiple AWS accounts and Regions in a single operation. StackSets is integrated with AWS Organizations, so you can take advantage of automatic deployments whenever an AWS account enters an organization. AWS CloudFormation announces the general availability (GA) of AWS CloudFormation Guard 2.1 (cfn-guard), which enhances Guard 2.0 with new features. CloudFormation Guard is an open-source domain-specific language (DSL) and command line interface (CLI) that helps enterprises keep their AWS infrastructure and application resources in compliance with their company policy guidelines. CloudFormation Guard provides compliance administrators with a simple, policy-as-code language to define rules that can check for both required and prohibited resource configurations. It enables developers to validate their templates (CloudFormation Templates, K8s configurations, and Terraform JSON configurations) against those rules. Today, AWS CloudFormation StackSets "
0a065a29eee40b9189f13d03f479542c1cbdbff1,"Thu, 30 Jun 2022 21:10:01 +0000",aws-cloudshell,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-cloudshell-available-aws-govcloud-us-regions/, AWS CloudShell is available in AWS GovCloud (US) Regions," AWS CloudShell is a "
717b503782582f56e70389bf8032a6a6acdb350b,"Mon, 19 Sep 2022 21:56:11 +0000",aws-cloudtrail,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-cloudtrail-lake-supports-import-cloudtrail-logs-s3/,AWS CloudTrail Lake now supports import of CloudTrail Logs from Amazon S3," Today, AWS CloudTrail Lake "
059d65d6e3dd503f14fd0481c90af38cd7d47a65,"Wed, 22 Jun 2022 19:26:14 +0000",aws-codebuild,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-codebuild-available-aws-asia-pacific-jakarta-region/, AWS CodeBuild is now available in AWS Asia Pacific (Jakarta) Region," AWS CodeBuild is now available in the AWS Asia Pacific (Jakarta) Region. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers. CodeBuild scales continuously and processes multiple builds concurrently, so your builds are not left waiting in a queue. You can get started quickly by using prepackaged build environments, or you can create custom build environments that use your own build tools. Using CodeBuild, you are charged by the minute for the compute resources you use. AWS Compute Optimizer is a service that recommends optimal AWS resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Starting today, you can designate a member account in your organization to retrieve Compute Optimizer recommendations and manage Compute Optimizer preferences, giving you greater flexibility to identify resource optimization opportunities centrally. We’re excited to announce the general availability of AWS Compute Optimizer "
bbb7bd311de58428e020719eecafd7312b329692,"Thu, 06 Oct 2022 16:31:07 +0000",aws-config,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-config-15-new-resource-types/,AWS Config now supports 15 new resource types," AWS Config now supports 15 more resource types including AWS DataSync, Amazon GuardDuty, Amazon Simple Email Service (Amazon SES), AWS AppSync, AWS Cloud Map, Amazon EC2, and AWS AppConfig. For the full list of newly supported resource types see [1]. We are excited to announce that AWS Config has reduced conformance pack prices by up to 58% depending on your usage levels. A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an entire organization, helping you manage the compliance of your AWS resources at scale. AWS Security Hub "
6303347423165c35f59ca15e919bbdcb079ee1da,"Thu, 08 Sep 2022 21:08:07 +0000",aws-config,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-security-hub-2-new-security-best-practice-controls/,AWS Security Hub launches 2 new security best practice controls," AWS Security Hub "
0c00748c4c24de4da44629c65a2f3b9946a2ea21,"Thu, 01 Sep 2022 21:02:41 +0000",aws-config,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-config-conformance-pack-templates-stored-aws-systems-manager/, AWS Config conformance pack templates can now be stored in AWS Systems Manager," AWS Config conformance pack templates can now be stored in and deployed from AWS Systems Manager documents (SSM documents). Conformance packs are collections of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. Conformance packs are defined through a YAML-based template and deployed by AWS Config. As templates are offline files, customers had to maintain manual processes for version control and sharing across accounts. AWS Security Hub "
2f564cb9213dad1ff77e9f66036cf1be0d73c605,"Mon, 15 Aug 2022 19:51:16 +0000",aws-config,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-config-supports-20-new-resource-types/,AWS Config now supports 20 new resource types," AWS Config now supports 20 new resource types including Amazon SageMaker, Amazon Route 53, Amazon Elastic Kubernetes Service (Amazon EKS), AWS Global Accelerator, AWS Glue, and others. For the full list of newly supported resource types see [1]. AWS Config now supports an easier way to author custom AWS Config rules using AWS CloudFormation Guard (cfn-guard). With this release, users with limited programming experience can use Guard to define and review custom policies that check your resources have desired configurations. AWS Config rules are a way of creating and implementing compliance policies against resource configurations. Currently, AWS Config offers both managed rules, which AWS builds and maintains to meet common compliance use cases, and custom rules, which users create to meet their specific compliance needs. Guard is an open source tool offering policy-as-code, such that users can define policies to validate JSON- or YAML-formatted data using a domain-specific language (DSL). AWS Security Hub "
697521dc0e3d7b5b6d88d2e1dd3f1e4b25d4c2b9,"Tue, 26 Jul 2022 14:28:10 +0000",aws-config,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-config-conformance-packs-scores-track-resource-compliance/, AWS Config conformance packs now provide scores to help you track resource compliance," AWS Config now supports compliance scores as an enhancement to conformance packs. A compliance score is a percentage-based score that helps you quickly discern the level to which your resources are compliant for a set of requirements that are captured within the scope of a conformance pack. A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an AWS account or AWS Region, or across an organization in AWS Organizations. AWS Security Hub has added two new integration partners to help customers with their cloud security posture monitoring. AWS Security Hub "
02370cb35761f0b19e397177dccf1e84c4927b36,"Thu, 16 Jun 2022 18:15:06 +0000",aws-config,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-config-15-new-resource-types/,AWS Config now supports 15 new resource types," AWS Config now supports 15 new resource types including Amazon SageMaker, Elastic Load Balancing, AWS Batch, AWS Step Functions, AWS Identity and Access Management Access Analyzer, Amazon WorkSpaces, Amazon Route 53 Resolver, Amazon Managed Streaming for Apache Kafka, and AWS Database Migration Service. For the full list of newly supported resource types see [1]. AWS Security Hub now automatically receives AWS Config managed and custom rule evaluation results as security findings. AWS Config allows security and compliance professionals to assess, audit, and evaluate the configurations of their AWS resources via Config rules, which evaluate the compliance of AWS resources against specified policies. Examples of resource misconfigurations detected by Config rules include publicly-accessible Amazon S3 buckets, unencrypted EBS volumes, and overly-permissive IAM policies. When a Config rule evaluation passes or fails, you will now see a ‘passed’ or ‘failed’ finding for that evaluation in Security Hub. Any updates to the status of the Config rule evaluation will be automatically updated in the Security Hub finding. This new integration between Security Hub and AWS Config expands the centralization and single pane of glass experience by consolidating your Config evaluation results alongside your other security findings, allowing you to more easily search, triage, investigate, and take action on your security findings. AWS Console Mobile Application users can now use AWS Cost Explorer on both the iOS and Android applications. The Console Mobile Application provides a secure on-the-go solution to visualize, understand, and manage AWS costs and usage over time. Customers can analyze total costs and usage across all regions and services for preceding eight weeks, identify trends, pinpoint cost drivers, and detect anomalies. AWS Console Mobile Application users can now easily view and access their recently visited AWS services that are supported in the mobile application for iOS and Android. A user’s recently visited AWS services are synchronized between their mobile and web experiences. The recently visited services feature is available at the bottom of the Dashboard screen which presents users with a swipeable list of their ten most recently visited AWS services. Users can tap on any AWS service shown in the list to be taken to that AWS service’s details screen in the mobile app. AWS Control Tower customers can now programmatically manage controls, also known as guardrails, across their organization at scale. Customers can programmatically enable, disable, and view application status of controls available in the AWS Control Tower library. Control APIs include AWS CloudFormation support, "
5a2a14e0a276450a904e42c0d12381e25d274507,"Fri, 19 Aug 2022 16:23:09 +0000",aws-control-tower,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-control-tower-customized-log-retention/, AWS Control Tower customized log retention," AWS Control Tower now provides the ability to customize the retention policy for Amazon Simple Storage Service (Amazon S3) buckets that store your AWS Control Tower CloudTrail logs. AWS Control Tower uses AWS CloudTrail to record logs of actions made by users, roles or AWS services. These logs are stored in Amazon S3 buckets, which are created in the core logging account. The Amazon S3 CloudTrail buckets have a retention policy that specifies the number of days after which the logs will get deleted. The default settings of 1-year for standard account logging and 10-years for access logging are applied if a user chooses not to customized their log retention policy. AWS Control Tower now includes AWS CloudTrail organization logging as part of landing zone version 3.0. With this new feature, an organization-level AWS CloudTrail trail will be deployed in your organization’s management account to automatically log the actions of all member accounts in your organizations. AWS Control Tower does not configure any parameters for logging other than a mandatory detective guardrail that checks logging is configured for all AWS Control Tower governed accounts. AWS Control Tower with organization logging offers users the latest standard and best practice for unified account logging. AWS Control Tower has updated its Region deny guardrail to include additional AWS global service APIs to assist in retrieving configuration settings, dashboard information, and support for an interactive chat agent. The Region deny guardrail, ‘Deny access to AWS based on the requested AWS Region', assists you in limiting access to AWS services and operations for enrolled accounts in your AWS Control Tower environment. The AWS Control Tower Region deny guardrail helps ensure that any customer data you upload to AWS services is located only in the AWS Regions that you specify. You can select the AWS Region or Regions in which your customer data is stored and processed. AWS Control Tower has updated its Region deny guardrail to include additional AWS global service APIs to assist in retrieving configuration settings, dashboard information, and support for an interactive chat agent. The Region deny guardrail, ‘Deny access to AWS based on the requested AWS Region', assists you in limiting access to AWS services and operations for enrolled accounts in your AWS Control Tower environment. The AWS Control Tower Region deny guardrail helps ensure that any customer data you upload to AWS services is located only in the AWS Regions that you specify. You can select the AWS Region or Regions in which your customer data is stored and processed. AWS Control Tower "
9c648b89ceac534726ddc53afab846e3d733dd4d,"Fri, 22 Jul 2022 17:35:03 +0000",aws-control-tower,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/07/combined-ou-accounts-page-available-aws-control-tower/, Combined OU and Accounts page now available in AWS Control Tower," We are excited to announce the new Organization page in AWS Control Tower with a hierarchical view of all Organizational units (OUs) and accounts. Customers now have the ability to view, group, and manage their entire organizational structure through a single page. AWS Control Tower now provides you with the ability to manage and customize your shared and management accounts with Account Factory for Terraform (AFT). You can now centralize your account customization management and increase governance coverage of your AWS Control Tower environment while still protecting the security of your account configurations. Shared account customization assists customers that want the ability to use the same mechanism for customization across all of their accounts. AFT has also made a role change to help you better manage the permissions of your customizations. You will now be able to fully automate your permission management for AFT to act on all of your accounts with any level of granularity. AWS customers can now download and use the latest version, v1.22, of AWS Copilot, a command line interface (CLI) for containerized applications. AWS Copilot makes it easier for customers to build, deploy, and operate containerized applications on AWS by providing a common application architecture and infrastructure patterns, user-friendly operational workflows, and set up of continuous delivery pipelines. The new release helps Copilot users leverage IAM permission boundaries to comply with their organization’s security requirements and service control policies, build event-driven services when order of operations and events is critical, and achieve a low-latency content delivery for their public HTTPS web services. Starting today, Cost Explorer customers will see a new interface in the console to visualize their cost and usage. The new summary widget provides an at-a-glance view of the total and average monthly cost. Customers can also look up specific spend and usage information using the new search function introduced in the table view. Cost Explorer has an easy-to-use interface that lets you visualize, understand, and manage your AWS costs and usage over time. You can analyze your data at a high level (for example, total costs and usage across all accounts) or dive deeper into your costs and usage data to identify trends, pinpoint cost drivers, and detect anomalies. Starting today, Cost Explorer customers will see a new interface in the console to visualize their cost and usage. The new summary widget provides an at-a-glance view of the total and average monthly cost. Customers can also look up specific spend and usage information using the new search function introduced in the table view. Cost Explorer has an easy-to-use interface that lets you visualize, understand, and manage your AWS costs and usage over time. You can analyze your data at a high level (for example, total costs and usage across all accounts) or dive deeper into your costs and usage data to identify trends, pinpoint cost drivers, and detect anomalies. AWS Cost Categories "
dfe8e23c1f7f586659a3cf167f3de3d6211b509a,"Thu, 04 Aug 2022 21:03:18 +0000",aws-data-exchange,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-data-exchange-increases-asset-size-limit-100gb/,AWS Data Exchange increases the asset size limit to 100GB," Third-party data providers on AWS Data Exchange can now import Amazon S3 assets up to 100GB in size, an increase from the former limit of 10GB. The increased asset size unlocks new use cases in Healthcare and Life Sciences, Financial Services, and Retail among other industries, because providers can now license genomics data, high volume financial data, and satellite imagery, which are often stored as assets that exceed 10GB. AWS Database Migration Service "
e78141aad8305f306915297387b806676d256738,"Fri, 01 Jul 2022 16:19:32 +0000",aws-database-migration-service,migration,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-database-migration-babelfish-aurora-postgresql/, AWS Database Migration Service now supports Babelfish for Aurora PostgreSQL as a target," AWS Database Migration Service "
a8e79891ef4679450756d0d672c125bab7640545,"Thu, 30 Jun 2022 18:07:19 +0000",aws-database-migration-service,migration,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-database-migration-vpc-source-target-endpoints/, AWS Database Migration Service now supports VPC source and target endpoints," AWS Database Migration Service "
bb095065bde6e90882d9510e44af0b97c7a26beb,"Wed, 21 Sep 2022 18:46:12 +0000",aws-datasync,migration,https://aws.amazon.com/about-aws/whats-new/2022/09/preview-aws-datasync-discovery/, Announcing preview of AWS DataSync Discovery," Today, we are happy to announce the public preview of AWS DataSync Discovery. You can use DataSync Discovery to gain visibility into your on-premises storage performance and utilization, and receive automated recommendations to help simplify and accelerate your data migration to AWS. This new feature of AWS DataSync enables you to better understand your on-premises storage usage through automated data collection and analysis, quickly identify data to migrate, and evaluate recommended AWS Storage services for your data, such as Amazon FSx for NetApp ONTAP, Amazon FSx for Windows File Server, and Amazon Elastic File System (EFS). AWS DataSync now supports copying files to and from Amazon FSx for NetApp ONTAP, a storage service that allows customers to launch and run fully managed ONTAP file systems in the cloud. Using AWS DataSync, you can quickly and securely migrate your data from your on-premises storage, the edge, or other clouds to your FSx for NetApp ONTAP file systems running in AWS. You can also use DataSync to move data between your FSx for NetApp ONTAP file system and Amazon S3 buckets, Amazon EFS file systems, or other Amazon FSx file systems. AWS DeepRacer Student, presented by Intel, is the first global autonomous racing league for students offering free educational material and resources to get hands on with machine learning (ML) by powering a 1/18th scale race car driven by reinforcement learning. Now available are student community races and additional learning content diving into the OpenVINO™ toolkit by Intel on machine learning inference. AWS DeepRacer Multi-user mode "
362eb78ca325bc61fb2447bd5b4b3c416230c467,"Wed, 29 Jun 2022 21:27:40 +0000",aws-direct-connect,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-direct-connect-new-location-ireland/, AWS Direct Connect announces new location in Ireland," Today, AWS announced the opening of a new AWS Direct Connect location in Dublin, Ireland. AWS customers in Ireland and across Europe can now establish network connections from their premises to AWS in the Servecentric, Blanchardstown Corporate Park data center to gain high-performance, secure access to all public AWS Regions (except Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD). This is the third Direct "
7faa911b387bd4edac659a0b3edf7eff5862558e,"Wed, 22 Jun 2022 21:58:44 +0000",aws-direct-connect,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-direct-connect-support-local-zones-united-states/, AWS Direct Connect adds support for all AWS Local Zones in the United States," Today, AWS announced AWS Direct Connect support for all AWS Local Zones in the United States. Your network traffic now takes the shortest path between Direct Connect point of presence (PoP) locations and AWS resources running in Local Zones. This feature reduces the distance network traffic must travel, decreasing latency and helping make applications more responsive. Starting today, all new AWS Directory Service for Microsoft AD (AWS Managed Microsoft AD) directories run on Windows Server 2019. For current customers with existing directories, you can simply update with just a few clicks or programmatically via API. With this feature, you can initiate updates for existing directories when it’s most convenient, avoiding peak business hours, for example. Additionally, starting in March 2023, AWS will begin automatically updating any AWS Managed Microsoft AD directories to Windows Server 2019. AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, and AD Connector "
5053f3da3dc780864339989efed5daf6a1bbc347,"Mon, 20 Jun 2022 20:17:54 +0000",aws-directory-service,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-managed-microsoft-ad-flexible-control-directory-settings/, AWS Managed Microsoft AD enables flexible control over directory settings," AWS Directory Service for Microsoft Active Directory (AWS Managed Microsoft AD) now provides you the flexibility to update your directory settings. This makes it easier to meet your specific security and compliance requirements across all new and existing directories. Starting today, you can update your directory settings and AWS Managed Microsoft AD applies the updated settings to all domain controllers, automatically. You accomplish this using the AWS console or automating with AWS Command Line Interface (AWS CLI) and/or API. AWS Elastic Beanstalk enables customers to deploy and scale web applications and services without having to manage any of the underlying infrastructure. Elastic Beanstalk automatically scales your application up and down based on your application's specific needs. Starting today, you can run applications orchestrated by AWS Elastic Beanstalk in the Asia Pacific (Jakarta) Region. AWS Elastic Disaster Recovery "
53cdcaf266b860e037a84eba350f69e906567518,"Wed, 15 Jun 2022 16:13:50 +0000",aws-elastic-disaster-recovery,storage,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-elastic-disaster-recovery-12-additional-regions/,AWS Elastic Disaster Recovery is now available in 12 additional Regions," Starting today, AWS Elastic Disaster Recovery (DRS) "
f6dc53b02f29d3e4ff20345756459ef7b89baa53,"Tue, 20 Sep 2022 18:16:37 +0000",aws-elemental-mediaconnect,media-services,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-elemental-mediaconnect-support-srt-caller-mode/, AWS Elemental MediaConnect adds support for SRT caller mode," AWS Elemental MediaConnect now supports Secure Reliable Transport (SRT) caller mode for both sources and outputs in MediaConnect flows. SRT caller mode provides greater flexibility when configuring video transport workflows using MediaConnect. If you deliver experiences with immersive audio and high dynamic range (HDR) video, you can now use AWS Elemental MediaLive to encode Dolby Atmos and Dolby Vision in your channel. Amazon Chime SDK announces the release of concatenation that helps makes it easy to create a single file by concatenating media chunks including audio, video, content, and transcriptions created by Amazon Chime SDK media capture. Amazon Chime SDK enables multi-party video sessions by letting developers add real-time voice and video to their web and mobile apps. With concatenation, customers can create a single file from a multi-party video session that includes audio, individual or composited video, content, and transcriptions. Amazon Chime SDK announces the launch of live connector pipelines that send real-time video from applications to streaming platforms such as Amazon Interactive Video Service (IVS) or AWS Elemental MediaLive. Amazon Chime SDK enables multi-party video sessions by letting developers add real-time voice and video to their web and mobile apps. Live connector helps to simplify the process of live streaming these sessions through a single API. Customer can send real-time video to streaming platforms such as AWS Elemental MediaLive, Amazon IVS, Twitch, YouTube Live, Facebook Live, and more. AWS customers can now download and use the latest version, v1.22, of AWS Copilot, a command line interface (CLI) for containerized applications. AWS Copilot makes it easier for customers to build, deploy, and operate containerized applications on AWS by providing a common application architecture and infrastructure patterns, user-friendly operational workflows, and set up of continuous delivery pipelines. The new release helps Copilot users leverage IAM permission boundaries to comply with their organization’s security requirements and service control policies, build event-driven services when order of operations and events is critical, and achieve a low-latency content delivery for their public HTTPS web services. AWS Fargate customers can now configure Amazon Elastic Container Service (ECS) tasks and Amazon Elastic Kubernetes Service (EKS) pods to use up to 16 vCPUs, an approximately 4x increase from before. vCPUs are the primary compute resource in ECS tasks and EKS pods. Larger vCPUs enable compute-heavy applications like machine learning inference, scientific modeling, and distributed analytics to more easily run on Fargate. In addition, customers can now provision up to 120 GiB of memory on Fargate, also a 4x increase from before. This helps batch workloads, extract, transform, load (ETL) jobs, genomics, and media processing applications better perform memory-intensive operations on Fargate. Larger vCPU and memory options may also make migration to serverless container compute simpler for applications that need more compute resources and cannot be easily re-architected into smaller microservices. Seekable OCI (SOCI) is a technology open sourced by AWS that enables containers to launch faster by lazily loading the container image. SOCI works by creating an index (SOCI Index) of the files within an existing container image. This index is a key enabler to launching containers faster, providing the capability to extract an individual file from a container image before downloading the entire archive. AWS Fargate (Fargate), the serverless compute engine for Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), recently announced the migration of service "
f8407cc447a20134d27148e8afa7c2c12a433f52,"Fri, 02 Sep 2022 16:59:56 +0000",aws-fargate,containers,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-fargate-available-middle-east-uae-region/, AWS Fargate is now available in the Middle East (UAE) Region," AWS Fargate, the serverless compute engine for Amazon Elastic Container Service (ECS), is now available in Middle East (UAE) Region. Fargate allows customers to deploy and manage containerized applications without having to manage any of the underlying infrastructure. Fargate makes it easier to scale applications and helps improve security through application isolation by design. AWS Fargate launches support for the Microsoft Windows Server 2022 runtime platform for applications running on Amazon Elastic Container Services (Amazon ECS). This adds to the list of already supported Windows Server 2019 runtime platforms for AWS Fargate, and helps customers take advantage of the latest Windows features on AWS Fargate. Amazon Elastic Kubernetes Service (Amazon EKS) now allows you to more easily run workloads from various Kubernetes namespaces on AWS Fargate serverless compute with a single EKS Fargate Profile. Using Amazon EKS on AWS Fargate enables you to use Kubernetes without having to worry about compute infrastructure configuration and maintenance. Previously, you had to specify all the namespaces at the time you created the EKS Fargate Profile and were limited to a total of 5 namespace selectors or label pairs. AWS Fargate "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",aws-fault-injection-simulator,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",aws-fault-injection-simulator,containers,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",aws-fault-injection-simulator,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
399c73e6dc53e48b13aa533085a1177f1fe4e3cc,"Mon, 25 Jul 2022 15:05:14 +0000",aws-fault-injection-simulator,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-fault-injection-simulator-supports-chaosmesh-litmus-experiments/, AWS Fault Injection Simulator now supports ChaosMesh and Litmus experiments," AWS Fault Injection Simulator (FIS) now supports ChaosMesh and Litmus experiments for containerized applications running on Amazon Elastic Kubernetes Service (EKS). Using the new Kubernetes custom resource action for AWS FIS, you can control ChaosMesh and Litmus chaos experiments from within an AWS FIS experiment, enabling you to coordinate fault injection workflows among multiple tools. For example, you can run a stress test on a pod’s CPU using ChaosMesh or Litmus faults while terminating a randomly selected percentage of cluster nodes using AWS FIS fault actions. AWS Fault Injection Simulator (FIS) is now available in the AWS GovCloud (US-East and US-West) Regions. The expansion of AWS FIS into the AWS GovCloud (US) Regions allows US government agencies and contractors to create and run fault injection experiments that reveal how their applications respond to stress under real world conditions. AWS Firewall Manager now enables you to configure AWS WAF to add custom web requests and responses. AWS Firewall Manager now allows you to centrally configure AWS Managed Rules for AWS Network Firewall policies, enabling you to stay up to date on the latest security threats without writing and maintaining your own firewall rules. AWS WAF now supports setting sensitivity levels for SQL injection (SQLi) rule statements, giving you greater control over how AWS WAF evaluates requests to your applications for SQLi attacks. AWS Firewall Manager now enables you to centrally deploy AWS Network Firewalls with additional strict rule order, default deny, and default drop configurations. AWS Firewall Manager now supports centrally distributing VPC security group tags when creating a common security group policy. We are excited to announce AWS GameKit is now available for the Unity game engine. AWS GameKit allows game developers to deploy and customize game backend features directly from a game engine. AWS GameKit launched on March 23, 2022 with support for Unreal Engine and with today’s release for Unity, game developers can integrate the following cloud-based game features into Win64, MacOS, Android, or iOS games from both the Unreal and Unity engines with just a few clicks: "
3fc113e4c46a372e0f97911eabc27f8ae30a782d,"Fri, 07 Oct 2022 17:02:16 +0000",aws-global-accelerator,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-global-accelerator-launches-two-new-edge-locations/,AWS Global Accelerator launches two new edge locations,""" AWS Global Accelerator "
0fe23e12a9eea91cf7b8bad9d4e1b57a8d0592f2,"Fri, 26 Aug 2022 17:08:10 +0000",aws-global-accelerator,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-new-edge-locations-vietnam/, AWS announces new edge locations in Vietnam," Amazon Web Services (AWS) announces expansion in Vietnam by launching new edge locations in Hanoi and Ho Chi Minh. End users served by these new edge locations will see improvements in application availability, security, and performance. The new locations offer edge networking services including Amazon CloudFront and AWS Global Accelerator "
1fb776453e276756be31b22a44e5eae29ff350de,"Thu, 28 Jul 2022 15:10:01 +0000",aws-global-accelerator,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-global-accelerator-announces-ipv6-support/,AWS Global Accelerator announces IPv6 support," AWS Global Accelerator now offers dual-stack accelerators that enable you to route IPv6 traffic to Regional Application Load Balancer endpoints. Starting today, you can get the availability, security and performance benefits of AWS Global Accelerator for both IPv4 and IPv6 traffic while routing traffic towards Application Load Balancer endpoints. AWS Glue includes crawlers based on Amazon S3 Event Notifications, a capability that make discovering datasets simpler by scanning only data based on events in Amazon S3. The Glue crawler extracts the data schema and automatically populates the AWS Glue Data Catalog, which keeps the metadata current. By crawling datasets based on S3 events, this reduces the time to insight by making newly ingested data quickly available for analysis with your favorite analytics and machine learning tools. AWS Glue "
fb6bd845fddb25a72c6c7c07c926cec39a191960,"Tue, 13 Sep 2022 17:01:03 +0000",aws-glue,analytics,https://aws.amazon.com/about-aws/whats-new/2022/09/sagemaker-studio-supports-glue-interactive-sessions/, SageMaker Studio now supports Glue Interactive Sessions," Amazon SageMaker Studio is "
b9f727c259886106525f98cd73250fdacc8ad832,"Fri, 26 Aug 2022 21:41:01 +0000",aws-glue,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/announcing-crawler-history-aws-glue/, Announcing support for Crawler history in AWS Glue," AWS Glue Crawlers now "
4cba18e79f0a66a6682537f40c77fcc19f13bcc3,"Wed, 24 Aug 2022 17:01:01 +0000",aws-glue,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-glue-available-aws-jakarta-region/, AWS Glue is now available in the AWS Asia Pacific (Jakarta) Region, AWS Glue is now available in the AWS Asia Pacific (Jakarta) Region. AWS Glue "
efb9213630adb91f3aea6feb504ce84a3b65f420,"Tue, 09 Aug 2022 15:01:40 +0000",aws-glue,analytics,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-glue-supports-flex-execution-option/, AWS Glue now supports Flex execution option," AWS Glue now supports a new execution option that allows customers to reduce the costs of their pre-production, test, and non-urgent data integration workloads by up to 34%. With Flex, Glue jobs run on spare capacity in AWS. AWS Glue launches G.025X, a new quarter DPU worker type for streaming extract, transform, and load (ETL) jobs. This smaller worker type is suitable to process low volume and sporadic data streams. AWS Glue streaming ETL (Extract Transform and Load) can now detect compressed data streaming from Amazon Kinesis, Amazon Managed Streaming for Apache Kafka (Amazon MSK), and self managed Apache Kafka. It can then automatically decompresses this data without customers having to write code, saving them development hours. AWS Glue Streaming ETL jobs continuously consume data from streaming sources, cleans and transforms the data in-flight, and makes it available for analysis in seconds. Customers compress data prior to streaming in-order to improve performance and to avoid throttling limits by Amazon Kinesis and Amazon MSK. Prior to this feature, customers had to write user defined functions to uncompress data from a stream, which is time consuming. Starting today, Amazon EC2 High Memory instances "
7fe477e91cbd87408b7528f80cb309802de724b9,"Tue, 04 Oct 2022 20:47:37 +0000",aws-govcloud-us,storage,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-backup-launches-new-backup-vault-lock-console-experience/,AWS Backup Launches New Backup Vault Lock Console Experience,""" AWS Backup now offers a new Backup Vault Lock console experience that provides you a more intuitive way to configure your vault lock details. AWS Backup Vault Lock allows "
e649a14065e9456d0051a835497455c85a23cb52,"Tue, 04 Oct 2022 20:48:43 +0000",aws-govcloud-us,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-high-memory-instances-3-6-9-12tib-memory-tokyo-region/,"Amazon EC2 High Memory instances with 3, 6, 9, and 12TiB of memory are now available in Asia Pacific (Tokyo) region",""" Starting today, Amazon EC2 High Memory instances "
1bec2964b27c5af1d505b179c4390c47018d4779,"Fri, 07 Oct 2022 16:33:51 +0000",aws-govcloud-us,user-experience,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-appstream-2-0-webcams-streaming-linux-applications-desktops/,Amazon AppStream 2.0 now supports webcams while streaming Linux applications and desktops," Amazon AppStream 2.0 now supports real-time audio-video (AV) by seamlessly redirecting local webcam video input to Linux AppStream 2.0 streaming sessions. Previously, this feature is only available when streaming Windows applications and desktops. With real-time AV support available in Linux streaming sessions, your users can collaborate using webcams without having to leave their Linux AppStream 2.0 sessions. Amazon AppStream 2.0 now supports real-time audio-video (AV) by seamlessly redirecting local webcam video input to Linux AppStream 2.0 streaming sessions. Previously, this feature is only available when streaming Windows applications and desktops. With real-time AV support available in Linux streaming sessions, your users can collaborate using webcams without having to leave their Linux AppStream 2.0 sessions. Amazon Detective has improved it’s search capability by adding support for case insensitivity with security findings and entities. You can now conduct security investigations without having to search for exact upper or lowercase characters. For example, if you wanted to search for “Admin” or “admin” logins, you can use either term to show results for all admin logins across data sources that store text such as AWS CloudTrail, Amazon GuardDuty findings, and Amazon EKS audit logs. Amazon AppStream 2.0 adds Graphical User Interface (GUI) support for the Linux Image Assistant tool. With this launch, you can now create Linux AppStream 2.0 images in the similar easy way you create Windows AppStream 2.0 images. The new tool gives you step-by-step visual guidance throughout the entire process, greatly reducing the complexity of creating Linux AppStream 2.0 images. Amazon AppStream 2.0 adds Graphical User Interface (GUI) support for the Linux Image Assistant tool. With this launch, you can now create Linux AppStream 2.0 images in the similar easy way you create Windows AppStream 2.0 images. The new tool gives you step-by-step visual guidance throughout the entire process, greatly reducing the complexity of creating Linux AppStream 2.0 images. Amazon EC2 Auto Scaling "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",aws-govcloud-us,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",aws-govcloud-us,containers,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
dd8bded7e7f1db0c76cbdf855b3b115d8312caed,"Mon, 10 Oct 2022 21:02:36 +0000",aws-govcloud-us,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/10/spot-instance-interruptions-tested-amazon-ec2-console-fault-injection-simulator-integration/,Spot Instance interruptions can now be tested directly from Amazon EC2 console via AWS Fault Injection Simulator integration,""" You can now inject Amazon EC2 Spot Instance "
1af6f47fb58bd9465cef8aa503b9e27b63d3f269,"Thu, 13 Oct 2022 21:43:10 +0000",aws-govcloud-us,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-auto-scaling-predictive-scaling-asia-pacific-jakarta-region/,Amazon EC2 Auto Scaling now supports Predictive Scaling in the Asia Pacific (Jakarta) Region,""" Amazon EC2 Auto Scaling "
f55e4820b373115400f284931fb8f444f8f8f725,"Tue, 27 Sep 2022 17:45:57 +0000",aws-govcloud-us,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-cloudwatch-container-insights-lifecycle-events-amazon-ecs/, Amazon CloudWatch Container Insights launches lifecycle events for Amazon ECS," Amazon CloudWatch Container Insights now provides lifecycle events for Amazon Elastic Container Service (ECS). With Container Insights you can monitor, isolate, and diagnose your containerized applications running on ECS. Now with the addition of lifecycle events, you can easily correlate metrics, logs and events in a single view for more complete operational visibility. You can now use tags to better track and manage your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity solution that enables customers to connect to other services hosted on AWS using a secure and scalable method while keeping network traffic private. You can now use Apache HTTP webservers "
6ba09d26599801b4b7990bbb4c9a78e28087aa43,"Wed, 14 Sep 2022 21:35:59 +0000",aws-govcloud-us,databases,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-rds-oracle-instance-store-temporary-tablespace-database-smart-flash-cache-m5d-r5d/,Amazon RDS for Oracle now supports the instance store for temporary tablespace and the Database Smart Flash Cache for M5d and R5d instances," Amazon Relational Database Service (Amazon RDS) for Oracle "
9f1f3b082a753ede6e9ede582a6031aca0f3d34f,"Wed, 07 Sep 2022 22:09:12 +0000",aws-govcloud-us,blockchain,https://aws.amazon.com/about-aws/whats-new/2022/09/amazon-managed-blockchain-amb-available-aws-govcloud-us-west-region/, Amazon Managed Blockchain (AMB) is now available in AWS GovCloud (US-West) Region," Amazon Managed Blockchain (AMB) Hyperledger Fabric is now generally available in AWS Govcloud (US-West) Region, allowing customers in both the public and commercial sectors to create as well as manage production-grade blockchain infrastructure with just a few clicks. In May 2019, Amazon Elastic Block Store (EBS) launched the ability for customers to take crash-consistent snapshots of all Amazon EBS volumes attached to an Amazon EC2 instance with a single API call. Now you can choose to take crash-consistent snapshots of a subset of Amazon EBS data volumes attached to an Amazon EC2 instance. You can also use Amazon Data Lifecycle Manager (DLM) to automate taking crash-consistent snapshots of the same subset of Amazon EBS volumes on a retention schedule defined by DLM policies. EBS Recycle Bin is now available in the AWS GovCloud (US) Regions "
20e1b54bb2b575a72a61195e8b46779a2df9d39a,"Wed, 17 Aug 2022 21:59:09 +0000",aws-govcloud-us,architecture-strategy,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-well-architected-tool-available-aws-govcloud-us-regions/, AWS Well-Architected Tool now available in AWS GovCloud (US) Regions," AWS is excited to announce that the AWS Well-Architected Tool is now available in AWS GovCloud (US) Regions. AWS GovCloud (US) is an isolated region designed to host sensitive data and regulated workloads in the cloud. The AWS Well-Architected Tool is used to help customers review the state of their applications and workloads against architectural best practices, and improve decision-making, minimize risks, and reduce costs. With this Region expansion, customers with specific regulatory and compliance requirements and AWS Partners in both the public and commercial sectors can now conduct self-service Well-Architected Reviews. We are excited to announce the availability of Amazon EC2 P4d instances in the AWS GovCloud (US) Region. P4d instances are optimized for applications in Machine Learning (ML) and High Performance Computing (HPC). Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Cassandra-compatible database service, is now available in the AWS GovCloud (US) Regions. AWS Security Hub "
df2fb3986fff3ad10b444e166014675e7c243d41,"Fri, 29 Jul 2022 18:24:18 +0000",aws-govcloud-us,serverless,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-lambda-supports-aws-x-ray-govcloud-us-regions/, AWS Lambda support for AWS X-Ray now available in AWS GovCloud (US) Regions," AWS Lambda support for AWS X-Ray is now available in the AWS GovCloud (US) Regions. With AWS Lambda support for AWS X-Ray, you can easily enable X-Ray tracing for your functions. You can now create up to 10,000 Amazon S3 Access Points per region per account to manage granular access permissions across your different applications. In addition, access points now support Amazon SageMaker, Amazon Redshift, and Amazon CloudFront, helping you use access point aliases directly with your applications as a replacement for S3 bucket names. AWS Single Sign-On (AWS SSO) is now AWS IAM Identity Center. It is where you create, or connect, your workforce users once and centrally manage their access to multiple AWS accounts and applications. You can create user identities directly in IAM Identity Center, or you can connect your existing identity source, including Microsoft Active Directory and standards-based identity providers, such as Okta Universal Directory or Azure AD. You can choose to manage access just to AWS accounts, just to cloud applications, or to both. Your users can utilize their existing credentials for one-click access to their assigned AWS accounts, AWS applications, like Amazon SageMaker Studio, and other standards-based cloud applications, like Salesforce, Box, and Microsoft 365. AWS Transfer Family now supports the Applicability Statement 2 (AS2) protocol, complementing existing protocol support for SFTP, FTPS, and FTP. "
f83c29c8313ca4cbf97f844cf9de9443182dafb2,"Thu, 14 Jul 2022 20:16:13 +0000",aws-govcloud-us,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-fault-injection-simulator-available-aws-govcloud-us-regions/, AWS Fault Injection Simulator is now available in AWS GovCloud (US) Regions," AWS Fault Injection Simulator (FIS) is now available in the AWS GovCloud (US-East and US-West) Regions. The expansion of AWS FIS into the AWS GovCloud (US) Regions allows US government agencies and contractors to create and run fault injection experiments that reveal how their applications respond to stress under real world conditions. Amazon EventBridge cross-Region routing allows customers to consolidate events from numerous regions into one central Region. This makes it easier for customers to centralize their events in the destination Region and write code that reacts to them or replicate events from source to destinations Regions to help synchronize data across Regions. Today, we are excited to announce availability of cross-Region routing in AWS GovCloud (US) Regions. AWS CloudShell is a "
b64396fcb752890a8f183c76f48f5e8403d8a9b6,"Thu, 30 Jun 2022 21:57:20 +0000",aws-govcloud-us,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-virtual-private-cloud-vpc-customer-managed-prefix-lists-additional-regions/, Amazon Virtual Private Cloud (VPC) customer-managed prefix lists is now available in five additional regions," Starting today, Amazon Virtual Private Cloud (VPC) customers can create their own prefix lists in five additional AWS Regions: AWS Asia Pacific (Jakarta), AWS China (Beijing) region, operated by Sinnet and AWS China (Ningxia) region, operated by NWCD and both AWS GovCloud (US) regions. Amazon RDS now allows you to have up to 20 concurrent snapshot copy requests per destination region per account, an increase from the former limit of five concurrent copies per destination region per account. Amazon DynamoDB Standard Infrequent Access "
277d8521f7bd9b5b75617a866af81478675576da,"Wed, 15 Jun 2022 20:49:48 +0000",aws-govcloud-us,databases,https://aws.amazon.com/about-aws/whats-new/2022/06/enhanced-integration-service-quotas-amazon-dynamodb/, Announcing enhanced integration with Service Quotas for Amazon DynamoDB," Amazon DynamoDB now enables you to proactively manage your account and table quotas through enhanced integration with Service Quotas. Using Service Quotas, you can now view the current values of all your DynamoDB quotas. You can also monitor the current utilization of your account-level quotas. Amazon Transcribe "
8f82000f135bd1bc5efba318431e1e842101c56f,"Mon, 08 Aug 2022 19:17:06 +0000",aws-greengrass,internet-of-things,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-iot-greengrass-v2-updates-stream-manager-report-telemetry-metrics/,AWS IoT Greengrass v2 updates Stream Manager to report new telemetry metrics and more," AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software. We are excited to announce our version 2.7 release with the following features: Amazon Web Services (AWS) announces expansion of wideband Digital Intermediate Frequency (DigIF) support for Software Defined Radios (SDRs) to enable customers to downlink more data in less time and reduce costs. AWS Ground Station regions Africa (Cape Town), Europe (Ireland), and Asia Pacific (Singapore) join the Middle East (Bahrain) region to offer customers a total of four locations where expanded support for SDRs is now available in Preview. Amazon Web Services (AWS) announces expansion of AWS Ground Station to the Asia Pacific (Singapore) Region. This is the 11th AWS Ground Station antenna location connected to the AWS Global Network. AWS Ground Station is a fully managed service that lets customers control satellite communications, process satellite data, and scale satellite operations. Global expansion to Singapore enables increased opportunities for satellite operators to connect with their satellites and process their space workloads. An additional mid-latitude AWS Ground Station antenna location reduces the time between contacts for Low-Earth Orbit (LEO) satellites and offers increased utility for customers whose operations require payload downlink. Governments, businesses, and universities can benefit from more timely satellite data to make precise, data-driven decisions. Starting today, customers can now view AWS Health and service status availability powered by AWS Health Dashboard in the Connector for ServiceNow. AWS Health provides ongoing visibility into resource performance and the availability of AWS services. Customers can view the AWS Health Dashboard to get relevant and timely information to help manage events in progress, prepare for planned activities and provide information on accounts and services. AWS Health Dashboard delivers alerts and notifications initiated by changes in the health of AWS resources for near-instant event visibility and guidance to help accelerate troubleshooting. IAM Access Analyzer policy validation "
7d3ea88358c7c4d9d208014d177f6cb908da72c3,"Wed, 05 Oct 2022 21:57:16 +0000",aws-iam,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/10/iam-access-analyzer-cloudtrail-history-identify-actions-140-aws-services-fine-grained-policies/,IAM Access Analyzer now reviews your AWS CloudTrail history to identify actions used across 140 AWS services and generates fine-grained policies," AWS Identity and Access Management (IAM) Access Analyzer policy generation has expanded support to identify actions used from over 140 services to help developers create fine-grained policies based on their AWS CloudTrail access activity. New additions include actions from services such as AWS CloudFormation, Amazon DynamoDB, and Amazon Simple Queue Service. When developers request a policy, IAM Access Analyzer gets to work and generates a policy by analyzing their AWS CloudTrail logs to identify actions used. For example, developers using AWS CloudFormation to set up resources need to provide CloudFormation permissions to create resources. They can use policy generation to create a fine-grained policy and limit CloudFormation role’s permissions to only those necessary to deploy a given template. The generated policy makes it easier for developers to grant only the required permissions to run their workloads. AWS Single Sign-On (AWS SSO) is now AWS IAM Identity Center. It is where you create, or connect, your workforce users once and centrally manage their access to multiple AWS accounts and applications. You can create user identities directly in IAM Identity Center, or you can connect your existing identity source, including Microsoft Active Directory and standards-based identity providers, such as Okta Universal Directory or Azure AD. You can choose to manage access just to AWS accounts, just to cloud applications, or to both. Your users can utilize their existing credentials for one-click access to their assigned AWS accounts, AWS applications, like Amazon SageMaker Studio, and other standards-based cloud applications, like Salesforce, Box, and Microsoft 365. AWS Lambda announces support for lambda:SourceFunctionArn. A new IAM condition key that can be used for IAM policy conditions that specify the ARN of the function from which a request is made. Starting today, when a function is invoked, Lambda will automatically add the new lambda:SourceFunctionArn condition key to the request context of all AWS API calls made by function code. You can use the Condition element in your IAM policy to compare the lambda:SourceFunctionArn condition key in the request context with values that you specify in your policy. AWS Identity and Access Management (IAM) now enables workloads that run outside of AWS to access AWS resources using IAM Roles Anywhere. IAM "
730cb3d7f7bd47c6c888200f57b01ad3c05ba452,"Thu, 01 Sep 2022 16:30:59 +0000",aws-iam-identity-center,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-iam-identity-center-apis-manage-users-groups-scale/, Announcing new AWS IAM Identity Center (successor to AWS SSO) APIs to manage users and groups at scale," AWS is launching additional APIs to create, read, update and delete users and groups in AWS IAM Identity Center (successor to AWS Single Sign-On). The new APIs expand existing capabilities to help reduce administrative effort and save time, and provide greater visibility into the users and groups that are available in IAM Identity Center. You can use the APIs for provisioning, de-provisioning or updating users and groups programmatically in a scalable manner. The new Identity Center directory APIs enable you to retrieve users and their group memberships from the Identity Center directory for audit and reconciliation purposes. VM Import/Export "
ca6b58f3023c5c10166ac2d4027b93a9e170fc74,"Thu, 21 Jul 2022 16:01:35 +0000",aws-iot,internet-of-things,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-iot-device-client-v1-7-enhanced-functionality-security-features/,AWS IoT Device Client v1.7 now available with enhanced functionality and security features," The AWS IoT Device Client is a free, open-source, and modular device-side reference implementation written in C++ that you can compile and install on IoT devices. It allows device developers to access AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender features with minimal device side code. The Device Client works on devices with common microprocessors (x86_64 and ARM architectures), and common Embedded Linux software environments (e.g. Debian, Ubuntu, and RHEL). AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software. We are excited to announce our version 2.6 release, which adds edge support for MQTT version 5, an updated device-to-device communication specification that includes many additional feature improvements over the MQTT version 3.1.1 protocol. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software. We are excited to announce our version 2.6 release, which adds edge support for MQTT version 5, an updated device-to-device communication specification that includes many additional feature improvements over the MQTT version 3.1.1 protocol. We are excited to introduce two new enhancements to AWS IoT Device Defender ML Detect, Custom Metrics and Dimensions support. ML Detect now supports monitoring of custom metrics, "
d9f38a2718741999b9982873fb7e00fff4c36618,"Thu, 04 Aug 2022 21:53:12 +0000",aws-iot-core,internet-of-things,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-iot-core-launches-device-provisioning-console-experience/, AWS IoT Core launches a new device provisioning console experience," AWS IoT Core now offers a new device provisioning console experience that enables customers a more intuitive way to select the best provisioning option for their IoT solution. You can now more easily navigate the device provisioning scenarios and follow a simple flow to create a provisioning template and configure permissions for a single or many devices. The updated user interface also gives you access to documentation, product information, and resources to assist you in choosing, creating, and managing your device provisioning flows in the same place. The AWS IoT Device Client is a free, open-source, and modular device-side reference implementation written in C++ that you can compile and install on IoT devices. It allows device developers to access AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender features with minimal device side code. The Device Client works on devices with common microprocessors (x86_64 and ARM architectures), and common Embedded Linux software environments (e.g. Debian, Ubuntu, and RHEL). Today, AWS announced the general availability of a new feature of AWS IoT Core "
33bf739e6117114cc09f1c783c43d1525ee12ceb,"Wed, 14 Sep 2022 20:35:33 +0000",aws-iot-device-defender,internet-of-things,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-iot-defender-ml-detect-custom-metrics-dimensions-support/, AWS IoT Device Defender ML Detect Custom Metrics and Dimensions support," We are excited to introduce two new enhancements to AWS IoT Device Defender ML Detect, Custom Metrics and Dimensions support. ML Detect now supports monitoring of custom metrics, "
ca6b58f3023c5c10166ac2d4027b93a9e170fc74,"Thu, 21 Jul 2022 16:01:35 +0000",aws-iot-device-defender,internet-of-things,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-iot-device-client-v1-7-enhanced-functionality-security-features/,AWS IoT Device Client v1.7 now available with enhanced functionality and security features," The AWS IoT Device Client is a free, open-source, and modular device-side reference implementation written in C++ that you can compile and install on IoT devices. It allows device developers to access AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender features with minimal device side code. The Device Client works on devices with common microprocessors (x86_64 and ARM architectures), and common Embedded Linux software environments (e.g. Debian, Ubuntu, and RHEL). AWS IoT Device Management Fleet Indexing now provides integration with two additional data sources, AWS IoT Core named shadows and AWS IoT Device Defender detect violations. Customers can now select specific named shadows to index only the data that is required for search queries. Also, detected violations can be indexed to target devices for troubleshooting or monitor the fleet-level anomalies trends with Fleet Metrics. These two additional data sources will help IoT customers who store IoT fleet data across different services and systems and regularly access the data for fleet monitoring, health checks, over-the-air (OTA) updates, and troubleshooting. With this release, supported data sources for Fleet Indexing increased to 5 from 3 (AWS IoT Core registry, shadows, and connectivity lifecycle events). AWS IoT Device Management Secure Tunneling now provides support for multiple simultaneous TCP connections, unlocking new use cases for advanced troubleshooting on remote devices. Secure Tunneling allows customers to establish bidirectional communication to remote devices using SSH, VNC or RDP. Now with multiple simultaneous TCP connections, customers can establish tunnels to access HTTP-based applications that typically make several connections for assets like images, javascript, and css. For example, you can now remotely access a web application that is running on a device to gain real-time telemetry or perform administrative tasks in a web-based GUI. The AWS IoT Device Client is a free, open-source, and modular device-side reference implementation written in C++ that you can compile and install on IoT devices. It allows device developers to access AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender features with minimal device side code. The Device Client works on devices with common microprocessors (x86_64 and ARM architectures), and common Embedded Linux software environments (e.g. Debian, Ubuntu, and RHEL). AWS IoT Device Management Fleet Indexing now provides integration with two additional data sources, AWS IoT Core named shadows and AWS IoT Device Defender detect violations. Customers can now select specific named shadows to index only the data that is required for search queries. Also, detected violations can be indexed to target devices for troubleshooting or monitor the fleet-level anomalies trends with Fleet Metrics. These two additional data sources will help IoT customers who store IoT fleet data across different services and systems and regularly access the data for fleet monitoring, health checks, over-the-air (OTA) updates, and troubleshooting. With this release, supported data sources for Fleet Indexing increased to 5 from 3 (AWS IoT Core registry, shadows, and connectivity lifecycle events). We are excited to announce that today we are reducing the price of the AWS IoT Device Management Secure Tunneling feature by 80%. With the improved cost efficiencies, customers can now scale Secure Tunneling to access remote devices deployed behind restricted firewalls for troubleshooting, configuration updates, training, and other operational tasks for their growing IoT workloads on AWS. AWS IoT FleetWise is now generally available to help automotive companies collect, transform, and transfer vehicle data to the cloud in near real time. Automotive companies can use the data in the cloud to extensively analyze vehicle fleet health. Insights gained allow companies to quickly identify potential maintenance issues, make in-vehicle infotainment systems smarter, or use analytics and machine learning (ML) to improve autonomous driving and advanced driver assistance systems (ADAS). AWS IoT SiteWise has increased quota limits for Assets and Asset Models to support larger and more complex equipment representations, and allow customers to perform bulk operations on resources. AWS IoT SiteWise now supports definition of asset measurement units at the asset level, enabling customers to use a single asset model for machines reporting measurements in different units. AWS IoT SiteWise now supports non-unique asset names under different hierarchies, allowing asset name reusability. The new feature simplifies scaling for companies creating asset hierarchies for more than one hierarchy tree within the same AWS account and AWS IoT SiteWise installation. AWS IoT SiteWise now supports bulk import of historical measurements from sensors with the launch of three new APIs. The new bulk import APIs help customers to ingest historical data from their operations stored in diverse systems such as historians and time series databases in AWS IoT SiteWise. AWS IoT SiteWise now supports payload compression for data ingested using the AWS IoT SiteWise data ingestion
1635ff4b030dcb3135faddd93067a8ffa46b744b,"Thu, 28 Jul 2022 22:05:26 +0000",aws-iot-sitewise,internet-of-things,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-iot-sitewise-canada-ohio-regions/, AWS IoT SiteWise is now available in US East (Ohio) and Canada (Central) AWS Regions," AWS IoT SiteWise is now available in US East (Ohio) and Canada (Central) AWS Regions, extending the footprint to 12 AWS Regions. AWS IoT TwinMaker introduces new features to improve the performance of data panels powered by the TwinMaker Grafana Plugin. For a complete list of features, see the changelog on AWS IoT TwinMaker App in Grafana. AWS IoT TwinMaker "
f21746d9e2097dd94b3b74812a81507c1f89ac40,"Fri, 07 Oct 2022 21:10:35 +0000",aws-iq,aws-marketplace-and-partners,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-iq-supports-partners-independent-consultants-australia-europe-japan-other-regions/,"AWS IQ now supports partners and independent consultants in Australia, Europe, Japan, and other regions",""" You can now connect with partners and independent consultants located in Australia, Bahrain, European Union member states, Hong Kong, Japan, New Zealand, Norway, Qatar, Switzerland, and United Arab Emirates. Quickly find, engage, &"
f21746d9e2097dd94b3b74812a81507c1f89ac40,"Fri, 07 Oct 2022 21:10:35 +0000",aws-iq,partner-network,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-iq-supports-partners-independent-consultants-australia-europe-japan-other-regions/,"AWS IQ now supports partners and independent consultants in Australia, Europe, Japan, and other regions",""" You can now connect with partners and independent consultants located in Australia, Bahrain, European Union member states, Hong Kong, Japan, New Zealand, Norway, Qatar, Switzerland, and United Arab Emirates. Quickly find, engage, &"
00e7bef6492e3a4c04aa09ff2e522c40f01c2811,"Wed, 24 Aug 2022 21:32:55 +0000",aws-iq,partner-network,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-iq-customers-pay-upfront-scheduled-payments/, Customers can now pay upfront or with scheduled payments using AWS IQ," You can now pay your experts upfront or with scheduled payments on AWS IQ. With scheduling, you pay experts based on a preset schedule that is set in the proposal. With upfront, you pay for work in advance upon accepting the proposal. You can also pay as you go with milestone payments. As a customer, you review these different payment types in the proposal and can work with your expert to select the option that best fits your project needs. An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). AWS Glue includes crawlers based on Amazon S3 Event Notifications, a capability that make discovering datasets simpler by scanning only data based on events in Amazon S3. The Glue crawler extracts the data schema and automatically populates the AWS Glue Data Catalog, which keeps the metadata current. By crawling datasets based on S3 events, this reduces the time to insight by making newly ingested data quickly available for analysis with your favorite analytics and machine learning tools. AWS Glue Crawlers now "
976e7e0392cb1d142c1db980cd1102e5fe7c3151,"Thu, 21 Jul 2022 17:31:29 +0000",aws-lake-formation,analytics,https://aws.amazon.com/about-aws/whats-new/2022/07/fine-grained-access-controls-job-scoped-iam-roles-integration-aws-lake-formation-apache-spark-hive-amazon-emr-ec2-clusters/,Introducing Fine-grained access controls with job-scoped IAM Roles and Integration with AWS Lake Formation for Apache Spark and Apache Hive on Amazon EMR on EC2 Clusters, We are excited to launch two new features that help enforce access controls with Amazon EMR on EC2 clusters (EMR Clusters). These features are supported with jobs that are submitted to the cluster using the EMR Steps API. First is Runtime Role with EMR Steps. A Runtime Role is an AWS Identity and Access Management (IAM) role that you associate with an EMR Step. An EMR Step uses this role to access AWS resources. The second is integration with AWS Lake Formation to apply table and column-level access controls for Apache Spark and Apache Hive jobs with EMR Steps. AWS Lake Formation "
371e6096515c89cddb9f32c07cda75485f717559,"Thu, 13 Oct 2022 20:47:10 +0000",aws-lambda,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-lambda-event-filtering-amazon-msk-kafka-mq-apache-activemq-amazon-mq-rabbit-mq/,"AWS Lambda now supports event filtering for Amazon MSK, Self-Manged Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ as event sources"," AWS Lambda now supports content filtering options for Amazon MSK, Self-Managed Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ. With event pattern content filtering, customers can write complex rules so that their Lambda function is only invoked to process meaningful events. This helps reduce traffic to customers’ Lambda functions, simplifies code, and reduces overall cost. Filtering was already available for SQS, DynamoDB, and Kinesis as event sources for Lambda. AWS Lambda now supports content filtering options for Amazon MSK, Self-Managed Kafka, Amazon MQ for Apache ActiveMQ, and Amazon MQ for RabbitMQ. With event pattern content filtering, customers can write complex rules so that their Lambda function is only invoked to process meaningful events. This helps reduce traffic to customers’ Lambda functions, simplifies code, and reduces overall cost. Filtering was already available for SQS, DynamoDB, and Kinesis as event sources for Lambda. AWS Lambda functions powered by AWS Graviton2 processors are now available in 12 additional regions - Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Osaka), Canada (Central), Europe (Paris), Europe (Stockholm), Europe (Milan), Middle East (Bahrain), South America (Sao Paulo) and US West (N. California). With up to 34% better price-performance, functions running on AWS Graviton2 are ideal for powering mission critical Serverless applications. AWS Lambda functions powered by AWS Graviton2 processors are now available in 12 additional regions - Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Osaka), Canada (Central), Europe (Paris), Europe (Stockholm), Europe (Milan), Middle East (Bahrain), South America (Sao Paulo) and US West (N. California). With up to 34% better price-performance, functions running on AWS Graviton2 are ideal for powering mission critical Serverless applications. AWS Lambda functions powered by AWS Graviton2 processors are now available in 12 additional regions - Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Osaka), Canada (Central), Europe (Paris), Europe (Stockholm), Europe (Milan), Middle East (Bahrain), South America (Sao Paulo) and US West (N. California). With up to 34% better price-performance, functions running on AWS Graviton2 are ideal for powering mission critical Serverless applications. Amazon CloudWatch Evidently adds support for Client Side Evaluations (CSE) for AWS Lambda, powered by AWS AppConfig. Evidently is an application performance monitoring (APM) capability that makes it easier for customers to introduce experiments and launches in their application code. Powered by AppConfig Extensions, Evidently CSE allows application developers to generate feature-evaluations in single-digit milliseconds from within their own Lambda functions. AWS AppConfig, a capability of AWS Systems Manager, allows customers to configure, validate, and deploy feature flags to more safely and quickly update application behavior. An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). AWS Lambda now supports custom Consumer Group IDs when using Amazon Managed Streaming for Apache Kafka (MSK) or Self-Managed Kafka as an event source. Kafka uses Consumer Group IDs to identify consumer membership and record consumer checkpoints. Using a custom Consumer Group ID is ideal for customers with workloads that require disaster recovery or fail‑over support. AWS Lambda now provides tiered pricing for monthly Lambda function duration i.e. GB-Seconds of usage. The two additional pricing tiers provide discounts on your aggregate monthly on-demand function duration.
ea824744bc0e6ea7bb6ed1ee5dff65484b752d87,"Fri, 22 Jul 2022 21:12:28 +0000",aws-lambda,serverless,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-lambda-iam-condition-key-lambda-source-function-arn/," AWS Lambda announces support for a new IAM condition key, lambda:SourceFunctionArn"," AWS Lambda announces support for lambda:SourceFunctionArn. A new IAM condition key that can be used for IAM policy conditions that specify the ARN of the function from which a request is made. Starting today, when a function is invoked, Lambda will automatically add the new lambda:SourceFunctionArn condition key to the request context of all AWS API calls made by function code. You can use the Condition element in your IAM policy to compare the lambda:SourceFunctionArn condition key in the request context with values that you specify in your policy. We are excited to announce the general availability of AWS Lambda Powertools for TypeScript, an open-source developer library to help you incorporate Well-Architected Serverless best practices "
36ca2f90e2e9a20c1cd3f207371e16bc8766f100,"Thu, 13 Oct 2022 16:48:10 +0000",aws-launch-wizard,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-launch-wizard-now-automates-deployment-sap-solution-manager/,AWS Launch Wizard now automates deployment of SAP Solution Manager,""" AWS Launch Wizard now supports deployment of AWS Launch Wizard now supports deployment of AWS Launch Wizard now allows you to deploy SAP HANA in a scale-out architecture using Amazon EC2 x2idn and r6i instances. Customers can deploy up to 16 nodes (1 primary node and 15 secondary nodes) using these instance types. AWS now offers fully-compliant, Amazon-provided licenses for Microsoft Visual Studio Enterprise 2022 and Microsoft Visual Studio Professional 2022 Amazon Machine Images (AMIs) on Amazon Elastic Compute Cloud (Amazon EC2). These AMIs are now available on the Amazon EC2 console and on AWS Marketplace, to launch instances on-demand without any long-term licensing commitments. Amazon EC2 provides a broach choice of instances and you not only have the flexibility of paying for what your end users use, you can also provide the capacity and right hardware to your end-users. For enterprises that employ large teams of contractors, you can easily provision standardized development machines managed by your IT with no compromises on security and compliance. "
e029500057ff7c18c13d99c563606720ece83ad9,"Wed, 05 Oct 2022 21:33:48 +0000",aws-local-zones,compute,https://aws.amazon.com/about-aws/whats-new/2022/10/general-availability-aws-local-zones-delhi-taipei/,Announcing the general availability of AWS Local Zones in Delhi and Taipei, AWS Local Zones are now available in Delhi and Taipei. You can now use these AWS Local Zones to deliver applications that require single-digit millisecond latency or local data processing. Introduced at re:Invent in November 2021, AWS Mainframe Modernization is now generally available for customer and partner use. Mainframe Modernization is a unique platform that allows you to migrate and modernize your on-premises mainframe workloads to a managed and highly available runtime environment on AWS. The service currently supports two main migration patterns—replatforming and automated refactoring—so you can select your best-fit migration path and associated toolchains based on your migration assessment results. AWS Managed Services (AMS) Accelerate Operations Plan is now available in Asia Pacific (Hong Kong) and Middle East (Bahrain) Regions. AMS helps you operate AWS efficiently and securely. It provides proactive, preventative, and detective capabilities that raise the operational bar and help reduce risk without constraining agility, allowing you to focus on innovation. AMS extends your team with operational capabilities including monitoring, incident detection and management, security, patch, backup, and cost optimization. We are excited to announce two new widgets (Latest announcements and Recent AWS blog posts) are available on AWS Console Home. Using these widgets, you can more easily learn about new AWS capabilities and get the latest news about AWS launches, events, and more. The AWS blog posts and launch announcements shown are related to the services used in your applications. You can now connect with partners and independent consultants located in Australia, Bahrain, European Union member states, Hong Kong, Japan, New Zealand, Norway, Qatar, Switzerland, and United Arab Emirates. Quickly find, engage, &"
f21746d9e2097dd94b3b74812a81507c1f89ac40,"Fri, 07 Oct 2022 21:10:35 +0000",aws-marketplace,partner-network,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-iq-supports-partners-independent-consultants-australia-europe-japan-other-regions/,"AWS IQ now supports partners and independent consultants in Australia, Europe, Japan, and other regions",""" You can now connect with partners and independent consultants located in Australia, Bahrain, European Union member states, Hong Kong, Japan, New Zealand, Norway, Qatar, Switzerland, and United Arab Emirates. Quickly find, engage, &"
538ed99fbb9e6638266ca31f769d5318da6c5824,"Tue, 26 Jul 2022 14:28:03 +0000",aws-marketplace,aws-marketplace-and-partners,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-marketplace-vendor-insights-streamline-vendor-risk-assessments-preview/, Announcing AWS Marketplace Vendor Insights to help streamline vendor risk assessments (Preview)," AWS Marketplace Vendor Insights helps streamline the complex third-party software risk assessment process by enabling sellers to make security and compliance information available through AWS Marketplace. A unified web-based dashboard gives governance, risk, and compliance (GRC) teams access to security and compliance information, such as data privacy and residency, application security, and access control. The dashboard also provides evidence backed by AWS Config and AWS Audit Manager assessments, external audit reports (such as ISO 27001 and SOC2 Type 2), and software vendor self-assessments. Vendor Insights serves buyers who need help to efficiently validate that third-party software meets their business compliance needs. Vendor Insights also serves sellers who want to showcase their strong security posture, while reducing the operational burden from responding to buyer requests for risk assessment information. Today, AWS announced the ability to toggle routes on and off when using AWS Migration Hub Refactor Spaces. This feature lets customers create inactive routes which can be activated after creation once the route’s targeted service is ready to receive traffic. Customers can use route toggling to fine-tune their routing approach and deliver just-in-time route changes as applications are incrementally refactored. Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB (with MongoDB compatibility) now allows you to create clones to enable fast creation of a new cluster that uses the same DocumentDB cluster volume and has the same data as the original. The storage space allocated to your Amazon DocumentDB (with MongoDB compatibility) "
0bf9022db234d89ba5eea147ab2dd6897d76f0cf,"Fri, 26 Aug 2022 19:44:05 +0000",aws-network-firewall,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-firewall-manager-support-aws-managed-rules-aws-network-firewall/, AWS Firewall Manager adds support for AWS Managed Rules for AWS Network Firewall," AWS Firewall Manager now allows you to centrally configure AWS Managed Rules for AWS Network Firewall policies, enabling you to stay up to date on the latest security threats without writing and maintaining your own firewall rules. AWS Network Firewall supports AWS Managed Threat Signatures to detect threats and block attacks against known vulnerabilities so you can stay up to date on the latest security threats without writing and maintaining your own rules. Starting today, you can enable AWS managed rules to protect against coin mining malware, credential phishing, and malware for mobile operating systems (OS). "
6e7849dddd14c0842e579febd6168d0b08101f36,"Thu, 21 Jul 2022 21:52:05 +0000",aws-network-firewall,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-network-firewall-vpc-prefix-lists/, AWS Network Firewall now supports VPC prefix lists," AWS Network Firewall now supports Amazon Virtual Private Cloud (VPC) prefix lists to simplify management of your firewall rules and policies across your VPCs. Prefix lists enable you to group one or more CIDR blocks into a single object. You can group IP addresses that you frequently use in a prefix list, and reference this list in AWS Network Firewall rule groups. Previously you needed to update individual firewall rules when scaling your network to add new IP addresses, which can be time-consuming and error-prone. Now you can update the relevant prefix list and all AWS Network Firewall rule groups that reference the prefix list are automatically updated. As you scale your network, you can use prefix lists to simplify management of your firewall rule groups and policies across multiple VPCs and accounts in the same AWS Region. You can use AWS-managed prefix lists "
a017b24128b1b8816482fa289b902852cd265b25,"Thu, 14 Jul 2022 19:30:12 +0000",aws-network-firewall,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-firewall-manager-supports-network-strict-rule-alert-configurations/, AWS Firewall Manager now supports AWS Network Firewall strict rule order with alert and drop configurations," AWS Firewall Manager now enables you to centrally deploy AWS Network Firewalls with additional strict rule order, default deny, and default drop configurations. AWS Firewall Manager now supports centrally distributing VPC security group tags when creating a common security group policy. Starting today, customers can use the Organizational Units (OUs) account groupings feature within AWS Organizations when creating their billing groups in the AWS Billing Conductor (ABC) console. For customers who are new to ABC and interested in segmenting, computing, and viewing their cost and usage data by OU, the new point-in-time OU import capability reduces the level of effort needed to achieve account parity between OUs and ABC billing groups. Today, we are making it easier for customers to view and update primary contact information on their AWS accounts using the AWS Command Line Interface (CLI) and AWS SDK. We previously released the Accounts SDK that enables customers to programmatically manage billing, operations, and security contacts for their accounts. Starting today, customers can use the same SDK to additionally update their primary contact information saving them the time and effort of doing it through the management console. Amazon S3 on Outposts "
d5587619ec7da9be982f4a8f418d14db71ae4a49,"Wed, 21 Sep 2022 18:57:35 +0000",aws-outposts,compute,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-outposts-rack-kazakhstan-serbia/, Announcing availability of AWS Outposts rack in Kazakhstan and Serbia, AWS Outposts rack can now be shipped and installed at your data center and on-premises locations in Kazakhstan and Serbia. Today, we are excited to announce the general availability of local clusters for Amazon Elastic Kubernetes Service (EKS) on Outposts, which enable you to run highly available Kubernetes clusters in on-premises environments. You can now create Outposts rack local gateway (LGW) inbound routes
abbd8791f15586ba96d7bbc9bf10979462da2248,"Wed, 14 Sep 2022 22:00:06 +0000",aws-outposts,compute,https://aws.amazon.com/about-aws/whats-new/2022/09/direct-vpc-routing-aws-outposts-rack/, Direct VPC routing for AWS Outposts rack is now available," With direct VPC routing for AWS Outposts rack, you can now directly use the VPC private IP address of an Amazon EC2 instance on Outposts rack to communicate with your on-premises network. This new direct VPC routing mode is an alternative to the Customer-owned IP (CoIP) routing mode where Outposts rack uses a separate IP address pool provided by you from your on-premises network. Starting today, customers now have the option of using Enterprise On-Ramp Support "
e2ecc6ad480129421f17b0eb5b8fc379a13cd1cc,"Thu, 25 Aug 2022 19:03:45 +0000",aws-outposts,compute,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-outposts-rack-kenya-oman/, Announcing availability of AWS Outposts rack in Kenya and Oman, AWS Outposts rack can now be shipped and installed at your data center and on-premises locations in Kenya and Oman. AWS Outposts rack is now supported in AWS Asia Pacific (Jakarta) Region. AWS Outposts rack is a fully managed service that offers the same AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or co-location space for a truly consistent hybrid experience. AWS Outposts rack can now be shipped and installed at your data center and on-premises locations in Panama. Amazon S3 on Outposts "
c7654558e876ec9e40234b371e25f6e644919e51,"Tue, 28 Jun 2022 21:05:19 +0000",aws-outposts,compute,https://aws.amazon.com/about-aws/whats-new/2022/06/amazon-ec2-placement-groups-support-host-level-spread-aws-outposts-rack/,Amazon EC2 placement groups now support host-level spread on AWS Outposts rack," Starting today, you can use Amazon EC2 placement groups to spread instances across distinct hosts on an AWS Outposts rack. Host-level spread placement groups distribute instances across hosts to reduce the likelihood of correlated failures, benefiting workloads that require High Availability (HA) like mission-critical databases. AWS ParallelCluster 3.2 release is now generally available. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. Today, we are announcing the general availability of AWS Private 5G, a managed service that helps enterprises set up and scale private mobile networks in their facilities in days instead of months. With only a few clicks in the AWS Management Console, you can specify where to build a mobile network and the number of devices you want to connect. AWS then delivers and maintains the small cell radio unit, the mobile network core and radio access network (RAN) software, and subscriber identity modules (SIM cards) required to set up a private mobile network and connect devices. AWS Private 5G automates the setup and deployment of the network. No upfront fees or per-device costs are incurred with AWS Private 5G, and you pay only for the network capacity that you request. You can now use tags to better track and manage your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity solution that enables customers to connect to other services hosted on AWS using a secure and scalable method while keeping network traffic private. Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports Salesforce API version 55.0 which is the latest API in the Salesforce Summer ’22 release. You can now enable CloudWatch Contributor Insights on your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity service that enables customers to access AWS services, third-party services or internal enterprise services hosted on AWS in a secure and scalable manner while keeping network traffic private. CloudWatch Contributor Insights analyzes time-series data to report the top contributors and number of unique contributors in a dataset. AWS Backup "
61e15ccdc5b20162896ead8fe6e74f387659078e,"Wed, 17 Aug 2022 16:35:09 +0000",aws-resilience-hub,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-resilience-hub-elastic-load-balancing-amazon-route-53-application-recovery-controller/,Announcing AWS Resilience Hub support for Elastic Load Balancing and Amazon Route 53 Application Recovery Controller," You can now use AWS Resilience Hub "
ac170fb5ec7191ce8e9bbf8eca2486d46d3150d5,"Tue, 02 Aug 2022 21:54:21 +0000",aws-secrets-manager,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-secrets-manager-connections-support-hybrid-post-quantum-tls-kyber/, AWS Secrets Manager connections now support the latest hybrid post-quantum TLS with Kyber," Connections to AWS Secrets Manager now support hybrid post-quantum key establishment using Kyber for transport layer security (TLS) from Round 3 of the NIST Post-Quantum Cryptography (PQC) selection process. This allows you to measure the potential performance impact of the post-quantum algorithm. You can also benefit from the longer-term confidentiality afforded by hybrid post-quantum TLS. AWS Security Hub "
6303347423165c35f59ca15e919bbdcb079ee1da,"Thu, 08 Sep 2022 21:08:07 +0000",aws-security-hub,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-security-hub-2-new-security-best-practice-controls/,AWS Security Hub launches 2 new security best practice controls," AWS Security Hub "
a8a34394976b570814f4c8e11555b0d2e71a30da,"Mon, 29 Aug 2022 16:30:50 +0000",aws-security-hub,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-security-hub-announcements-notification-topic/, AWS Security Hub launches announcements notification topic," AWS Security Hub "
f133754657ffd0a94601ddc69a34e694b2bc3870,"Tue, 02 Aug 2022 21:37:45 +0000",aws-security-hub,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-security-hub-cross-region-aggregation-findings-govcloud-us/, AWS Security Hub now supports cross-Region aggregation of findings in AWS GovCloud (US)," AWS Security Hub "
ed9881d8b5b468c567b4e68039e77975300cae85,"Tue, 26 Jul 2022 16:23:53 +0000",aws-security-hub,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-security-hub-adds-fortinet-jfrog-integration-partners/, AWS Security Hub adds Fortinet and JFrog as integration partners," AWS Security Hub has added two new integration partners to help customers with their cloud security posture monitoring. AWS Security Hub now "
b51b748c436f17da5a5f97083ff55592be9b1d03,"Mon, 11 Jul 2022 22:00:29 +0000",aws-security-hub,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-security-hub-adds-four-new-integration-partners/, AWS Security Hub adds four new integration partners," AWS Security Hub "
ea00ac10f5c6a3597f749276218ae768afc73c71,"Tue, 07 Jun 2022 16:24:57 +0000",aws-security-hub,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-security-hub-config-managed-custom-rule-evaluation-results/, AWS Security Hub now receives AWS Config managed and custom rule evaluation results," AWS Security Hub now automatically receives AWS Config managed and custom rule evaluation results as security findings. AWS Config allows security and compliance professionals to assess, audit, and evaluate the configurations of their AWS resources via Config rules, which evaluate the compliance of AWS resources against specified policies. Examples of resource misconfigurations detected by Config rules include publicly-accessible Amazon S3 buckets, unencrypted EBS volumes, and overly-permissive IAM policies. When a Config rule evaluation passes or fails, you will now see a ‘passed’ or ‘failed’ finding for that evaluation in Security Hub. Any updates to the status of the Config rule evaluation will be automatically updated in the Security Hub finding. This new integration between Security Hub and AWS Config expands the centralization and single pane of glass experience by consolidating your Config evaluation results alongside your other security findings, allowing you to more easily search, triage, investigate, and take action on your security findings. AWS Security Hub is now available in the Asia Pacific (Jakarta) Region. You can now centrally view and manage the security posture of your AWS accounts in AWS Asia Pacific (Jakarta) Region. The AWS Serverless Application Model (SAM) "
1d9ed80371d688f03a3012cb88034afa13554ad2,"Fri, 14 Oct 2022 18:38:08 +0000",aws-serverless-application-model-sam,serverless,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-sam-cli-pipelines-open-id-connect-protocol/,AWS SAM CLI Pipelines now supports Open ID Connect Protocol,""" The AWS Serverless Application Model (SAM) "
52938e1540649ca99b57e5e4e3c9a412fc6bf812,"Fri, 07 Oct 2022 16:24:51 +0000",aws-serverless-application-model-sam,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-sam-serverless-connectors/,AWS announces AWS SAM serverless connectors," Serverless application developers can now use the new AWS::Serverless::Connector resource available in AWS Serverless Application Model (AWS SAM) to simplify granting the appropriate level of access to the resources in their application’s infrastructure. With AWS::Serverless::Connector resources, developers describe how data and events need to flow between two resources and the type of access required. AWS SAM will compose purpose-built AWS Identity and Access Management (AWS IAM) policies in order to facilitate the interaction defined by the developer in the connector resource. Serverless application developers can now use the new AWS::Serverless::Connector resource available in AWS Serverless Application Model (AWS SAM) to simplify granting the appropriate level of access to the resources in their application’s infrastructure. With AWS::Serverless::Connector resources, developers describe how data and events need to flow between two resources and the type of access required. AWS SAM will compose purpose-built AWS Identity and Access Management (AWS IAM) policies in order to facilitate the interaction defined by the developer in the connector resource. The AWS Serverless Application Model (SAM) "
f883ff00668aabf6aace25869a67d8fcf729676c,"Thu, 16 Jun 2022 18:13:16 +0000",aws-service-catalog,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-service-catalogs-application-registry-cross-account-applications/, AWS Service Catalog's Application Registry now supports cross-account applications.," Today, AWS Service Catalog announces support for cross-account AppRegistry applications and attribute groups. With this release, applications can now be shared within your AWS Organization enabling recipient accounts to associate their local resources to shared applications. If you have application resources deployed in more than one account within your AWS Organization, you can now maintain a single repository of your applications and application metadata. Amazon Web Services (AWS) Service Catalog now supports Attributed Based Access Controls (ABAC), allowing customers the ability to use tags to easily manage access and permissions to AWS resources in Service Catalog. Now, Service Catalog administrators have the ability to define their AWS Identity and Access Management (IAM) policies to grant access and specify finer-grained permissions based on tags shared between AWS resource(s) and IAM users or roles. For example, based on a matching set of tags, an IAM entity (e.g., user or role) may be allowed or denied to create resources in their Service Catalog account. AWS Service Catalog is now available to customers in the AWS Region in (Jakarta) Indonesia. Customers now have the option to view Service Health events on the AWS Health Dashboard in their local time and date. The AWS Health Dashboard "
737a995d64a2109b3166b43d2e8720df6f06946c,"Tue, 26 Jul 2022 18:34:11 +0000",aws-single-sign-on,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-single-sign-on-aws-sso-now-aws-iam-identity-center/, AWS Single Sign-On (AWS SSO) is now AWS IAM Identity Center," AWS Single Sign-On (AWS SSO) is now AWS IAM Identity Center. It is where you create, or connect, your workforce users once and centrally manage their access to multiple AWS accounts and applications. You can create user identities directly in IAM Identity Center, or you can connect your existing identity source, including Microsoft Active Directory and standards-based identity providers, such as Okta Universal Directory or Azure AD. You can choose to manage access just to AWS accounts, just to cloud applications, or to both. Your users can utilize their existing credentials for one-click access to their assigned AWS accounts, AWS applications, like Amazon SageMaker Studio, and other standards-based cloud applications, like Salesforce, Box, and Microsoft 365. AWS Single Sign-On (AWS SSO) "
81fe7eb93adabc765d0db73e191370524f081c9f,"Thu, 16 Jun 2022 20:44:26 +0000",aws-single-sign-on,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-single-sign-on-available-europe-milan/, AWS Single Sign-On is now available in the Europe (Milan) Region," AWS Single Sign-On (AWS SSO) "
3fc7949cb7c45b5903254ba29f9467f2d8b0ca73,"Fri, 19 Aug 2022 16:51:09 +0000",aws-site-to-site,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-site-vpn-connection-logs-amazon-cloudwatch/, Now capture AWS Site-to-Site VPN connection logs using Amazon CloudWatch," Today, AWS Site-to-Site VPN enables publishing VPN connection logs to CloudWatch, providing you with deeper visibility into your VPN setup to help you quickly troubleshoot and resolve VPN connectivity issues. Starting today, AWS Site-to-Site VPN supports the ability to deploy IPSec VPN connections over Direct Connect using private IP addresses. With this change, customers can encrypt DX traffic between their on-premises network and AWS without the need for public IP addresses, thus enabling enhanced security and network privacy at the same time. AWS Snowball devices are now available in the AWS Asia Pacific (Jakarta) Region. The AWS Snowcone solid state drive (SSD) device is now available in the AWS Europe (Paris) Region, adding to our growing list of Regions already offering Snowcone SSD, including AWS US East (Ohio), US East (N. Virginia), "
af6bcb5befe5e8250cb45833e31e841fd0eabf42,"Wed, 29 Jun 2022 20:08:47 +0000",aws-snowcone,storage,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-snowcone-ssd-available-aws-europe-paris/, AWS Snowcone SSD is now available in the AWS Europe (Paris)," The AWS Snowcone solid state drive (SSD) device is now available in the AWS Europe (Paris) Region, adding to our growing list of Regions already offering Snowcone SSD, including AWS US East (Ohio), US East (N. Virginia), "
9b092009da63ea68045307b5622ffb70f37f4018,"Tue, 06 Sep 2022 17:36:38 +0000",aws-step-functions,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-controllers-kubernetes-ack-rds-lambda-step-functions-prometheus-kms/," AWS Controllers for Kubernetes (ACK) for Amazon RDS, AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus, and AWS KMS now generally available"," An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS). AWS Step Functions "
709ee9fdd17595d1036a5ab8b55e1da4ffea555e,"Wed, 27 Jul 2022 20:14:50 +0000",aws-step-functions,application-integration,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-step-functions-expand-aws-sdk-integrations-support-additional-aws-services-more-api-actions/,AWS Step Functions continues to expand its AWS SDK integrations with support for 3 additional AWS Services and 195 more API Actions," AWS Step Functions expands its AWS SDK integrations with support for 3 more AWS Services and 195 more AWS API actions which brings the total to 223 AWS Services and 10,000+ API Actions. AWS Storage Gateway increases Tape Gateway throughput performance by up to 2x for backing up data to and restoring data from the cloud, helping you to meet application backup and recovery times of your business. With this launch, your on-premises Tape Gateway can backup data to the cloud up to 2x faster than before, up to 5.2 Gbps, and read data from the cloud up to 2x faster than before, up to 8 Gbps. This enhancement enables you to upload more data per gateway to the cloud in your backup window, accelerate restore times of your data stored in the cloud, and optimize on-premises storage used by the gateway. AWS Storage Gateway "
3482c46a8f0650d607eb1340441c6f4cfd3fe58f,"Thu, 06 Oct 2022 21:40:21 +0000",aws-storage-gateway,storage,https://aws.amazon.com/about-aws/whats-new/2022/10/aws-storage-gateway-15-tib-tapes/,AWS Storage Gateway now supports 15 TiB tapes,""" AWS Storage Gateway "
d964bb8ccef3c270cc8dcdc3bf67e683dcebdce3,"Thu, 15 Sep 2022 19:33:54 +0000",aws-support,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-enterprise-support-aws-incident-detection-response/, AWS Enterprise Support launches AWS Incident Detection and Response," Today, Amazon Web Services (AWS) announces the general availability of AWS Incident Detection and Response, that offers AWS Enterprise Support customers proactive monitoring and incident management for their selected workloads. AWS Incident Detection and Response is designed to help you improve your operations, increase workload resiliency, and accelerate your recovery from critical incidents. AWS Incident Detection and Response leverages the proven operational, enhanced monitoring, and incident management capabilities used internally by AWS teams and externally by AWS Managed Services (AMS). Starting today, your team can use the AWS Support App to collaborate with support agents on cases through Slack. You can use the AWS Support App to create, update, search for, and resolve support cases in Slack channels, and start a live chat session with support agents and members from your team. AWS Support launches a new AWS Support Center console URL https://support.console.aws.amazon.com/. Using this new URL ensures you can always contact AWS Support via the AWS Support Center Console, which is built using the latest architecture standards for high availability and region redundancy. As of today, you can experience the new interface for creating support cases in the AWS Support Center console. When you create a case, Support Center can better anticipate and understand your issue by capturing your case details. Support Center can then provide targeted and specific remediation, such as answers to frequently asked questions and links for related information. Customers using Atlassian Jira Service Management (JSM), Data Center version can respond, investigate and resolve incidents affecting their AWS-hosted applications via AWS Systems Manager Incident Manager and the AWS Service Management Connector. AWS Systems Manager is the operations hub for AWS applications and resources, that helps to automate reactive processes to quickly diagnose and remediate operational issues. With the Incident Manager integration with JSM, customers can now automate their incident response plans in Incident Manager and automatically synchronize their incidents into JSM. This feature enables faster resolution of critical application availability and performance issues without disrupting existing workflows in JSM. Today, AWS Systems Manager Quick Setup announces support for installing and periodically updating the CloudWatch Agent. With this new launch, you can now easily deploy and keep up to date the CloudWatch Agent in instances across accounts and Regions at scale with a few clicks. Patch Manager, a capability of AWS Systems Manager, now helps you automate patch deployments for instances running SUSE Linux Enterprise Server (SLES) versions 15.2, 15.3, and 15.4, Oracle Linux versions 8.4 and 8.5, and Red Hat Enterprise Linux (RHEL) version 8.6. Patch Manager helps you automate the process of patching nodes with both security related and other types of updates. Patch Manager also helps you automate patch deployments for instances running Windows Server, RHEL, Ubuntu Server, Amazon Linux, Amazon Linux 2, CentOS, and SUSE Linux Enterprise Server (SLES). AWS Config conformance pack templates can now be stored in and deployed from AWS Systems Manager documents (SSM documents). Conformance packs are collections of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. Conformance packs are defined through a YAML-based template and deployed by AWS Config. As templates are offline files, customers had to maintain manual processes for version control and sharing across accounts. Application Manager, a capability of AWS Systems Manager, announces today a simplified onboarding experience for customers. Application Manager is a central hub on AWS to create, view and operate applications from a single console. With Application Manager, customers can discover and manage their resources across multiple AWS services like AWS CloudFormation, AWS Launch Wizard, AWS Service Catalog App Registry, AWS Resource Groups, Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon Elastic Container Service (Amazon ECS). Using this feature, IT professionals can now follow a guided low-touch process to setup the Application Manager dashboards. Patch Manager, a capability of AWS Systems Manager, now helps you automate patches deployments for instances running Windows Server 2022, Rocky Linux versions 8.4 and 8.5, CentOS Stream 8, and Red Hat Enterprise Linux (RHEL) versions 8.4 and 8.5, giving you more patching options for your nodes. Patch Manager helps you automate the process of patching nodes with security related and other types of updates. Patch Manager also helps you automate patches deployments for Linux instances running Windows Server, RHEL, Ubuntu Server, Amazon Linux, Amazon Linux 2, CentOS, and SUSE Linux Enterprise Server (SLES). "
f592bcaa8e75a98f3d7bd677add44219e765ca94,"Thu, 09 Jun 2022 21:28:02 +0000",aws-systems-manager,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-systems-manager-incident-manager-streamlines-responses-servicenow-incidents/, Incident Manager from AWS Systems Manager now streamlines responses to ServiceNow Incidents," Starting today, customers who use ServiceNow can respond, investigate and resolve incidents affecting their AWS-hosted applications using AWS Systems Manager Incident Manager "
d03a242c8880986d7d193a9374c1526e652eca67,"Thu, 09 Jun 2022 21:30:46 +0000",aws-systems-manager,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-systems-manager-change-manager-integration-displays-cloudtrail-servicenow-requests/, AWS Systems Manager Change Manager integration now displays AWS CloudTrail events associated with ServiceNow change requests.," Starting today, customers can view CloudTrail event logs corresponding to a change request using AWS Systems Manager Change Manager ServiceNow Connector. "
d03a242c8880986d7d193a9374c1526e652eca67,"Thu, 09 Jun 2022 21:30:46 +0000",aws-systems-manager-change-manager,management-and-governance,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-systems-manager-change-manager-integration-displays-cloudtrail-servicenow-requests/, AWS Systems Manager Change Manager integration now displays AWS CloudTrail events associated with ServiceNow change requests.," Starting today, customers can view CloudTrail event logs corresponding to a change request using AWS Systems Manager Change Manager ServiceNow Connector. "
d27f22a12beb3245ff732678fc84cdc16ff6aa2b,"Wed, 29 Jun 2022 20:25:34 +0000",aws-toolkit-for-visual-studio,developer-tools,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-toolkit-visual-studio-amazon-cloudwatch-logs-integration/, AWS Toolkit for Visual Studio adds Amazon CloudWatch Logs Integration," Developers can now access Amazon CloudWatch Logs within Visual Studio using the AWS Toolkit for Visual Studio. Directly from the IDE, it is now possible to search and filter log groups, log streams, and events. Additionally, log groups can be accessed from their associated resources, and log events can be downloaded to a file. Smithy Interface Definition Language (IDL) 2.0 is now generally available. Smithy is Amazon’s next-generation API modeling language that is based on our experience building tens of thousands of APIs and generating SDKs. Using IDL 2.0, developers can now author Smithy models and generate code from Smithy models in a simpler, more intuitive way. We are happy to announce the general availability of the new streamlined deployment experience for .NET applications. With sensible defaults for all deployment settings, you can now get your .NET application up and running in just one click, or with a few easy steps - without needing deep expertise in AWS. You will receive recommendations on the optimal compute for your application, giving you more confidence in your initial deployments. You can find it in the AWS Toolkit for Visual Studio using the new “Publish to AWS” wizard. It is also available via the .NET CLI by installing AWS Deploy Tool for .NET. AWS Transfer Family now supports post-upload processing of partially uploaded files using managed workflows, offering customers even more control in defining and executing file-processing steps for both complete and incomplete file uploads. AWS Transfer Family now supports up to ten host keys per SFTP server. In addition, ED25519 and ECDSA key types are now supported for server host keys. Previously, AWS Transfer Family only supported one host key per server, and only the RSA key type. We are excited to announce the new AWS Transfer Family Delivery Program for AWS Partners that help customers build sophisticated Managed File Transfer (MFT) and Business-to-Business (B2B) file exchange solutions with AWS Transfer Family. AWS Transfer Family enables you to migrate, automate, and monitor your file transfer workflows into and out of Amazon S3 and Amazon EFS using the SFTP, AS2, FTPS, and FTP protocols. With your data in AWS, you can leverage a rich set of data analytics and processing services. AWS Transfer Family is the only fully managed cloud-native file transfer service currently available, enabling AWS Partners to build customized, validated solutions such as integrating the customer’s identity provider of choice, enhancing file transfer monitoring, and securing endpoints. AWS Transfer Family now supports the Applicability Statement 2 (AS2) protocol, complementing existing protocol support for SFTP, FTPS, and FTP. "
2f8ca22ba066a3cabf4c8d5402dadf37d084e2c1,"Thu, 21 Jul 2022 16:55:20 +0000",aws-transfer-family,migration,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-transfer-family-ed25519-ecdsa-keys-user-authentication/,AWS Transfer Family now supports ED25519 and ECDSA keys for user authentication," AWS Transfer Family customers can now use ED25519 and ECDSA keys to authenticate users connecting to an AWS Transfer Family server. Previously, Transfer Family only supported RSA keys for user authentication. Starting today, AWS Transfer Family customers can ignore the SETSTAT command and customize how they want to process TLS session resumption. These new features enable customers to support a broader set of clients without making any client-side changes. Starting today, AWS Cloud WAN "
839f4c5a0ae4ac6f6450d284b523ec2cb6b9ecf5,"Thu, 08 Sep 2022 19:23:39 +0000",aws-transit-gateway,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-transit-gateway-internet-group-management-protocol-igmp-multicast-support-additional-regions/, AWS Transit Gateway adds Internet Group Management Protocol (IGMP) Multicast support in two additional AWS regions, Starting today AWS Transit Gateway supports internet group management protocol (IGMP) multicast in Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions. Starting today, AWS Transit Gateway Connect "
220d67ff2ddd38e3db377eb0b36479f631bcd1a7,"Thu, 14 Jul 2022 19:08:26 +0000",aws-transit-gateway,networking-and-content-delivery,https://aws.amazon.com/about-aws/whats-new/2022/07/amazon-vpc-flow-logs-transit-gateway-improved-visibility-monitoring/, Amazon VPC Flow Logs adds Transit Gateway support for improved visibility and monitoring," Starting today, Amazon VPC Flow Logs adds support for Transit Gateway. With this feature, Transit Gateway can export detailed telemetry information such as source/destination IP addresses, ports, protocol, traffic counters, timestamps and various metadata for all of its network flows. This feature provides you with an AWS native tool to centrally export and inspect flow-level telemetry for all network traffic that is traversing between Amazon VPCs and your on-premises networks via your Transit Gateway. Starting today, AWS Site-to-Site VPN supports the ability to deploy IPSec VPN connections over Direct Connect using private IP addresses. With this change, customers can encrypt DX traffic between their on-premises network and AWS without the need for public IP addresses, thus enabling enhanced security and network privacy at the same time. AWS Trusted Advisor now supports a new check that recommends options for Microsoft Windows Server end of support (EOS) on Amazon Elastic Compute Cloud (Amazon EC2). The check inspects your Microsoft Windows Server workloads and automatically lists your Microsoft Windows Server instances that are at EOS or nearing EOS. For example, Microsoft Windows Server 2012/2012 R2 Extended support will end on October 10, 2023 and instances that will reach EOS in less than 18 months will be flagged in the Trusted Advisor console to help customers investigate further. Through the check recommendation, you can find flexible migration, modernization and upgrade options on AWS, based on best practices. AWS Trusted Advisor Priority is now generally available for AWS Enterprise Support customers, helping IT leaders focus on key cloud optimization opportunities through curated recommendations prioritized by their AWS account teams. AWS Trusted Advisor provides recommendations that help you follow AWS best practices across cost optimization, performance, security, reliability, and service quotas. You can now use tags to better track and manage your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity solution that enables customers to connect to other services hosted on AWS using a secure and scalable method while keeping network traffic private. AWS Firewall Manager now enables you to configure AWS WAF to add custom web requests and responses. AWS WAF Fraud Control - Account Takeover Prevention now supports Amazon CloudFront. AWS WAF Fraud Control - Account Takeover Prevention protects your application’s login page against credential stuffing attacks, brute force attempts, and other anomalous login activities. Account Takeover Prevention enables you to proactively stop account takeover attempts at the network edge. With Account Takeover Prevention, you can prevent unauthorized access that may lead to fraudulent activities, or you can inform affected users so that they can take preventative action. You can now enable AWS WAF protections for Amazon Cognito, making it even easier to protect Amazon Cognito user pools and hosted UI from common web exploits. "
32f27c0d5e4a6ea890a12b4f45741142b58de354,"Tue, 26 Jul 2022 17:43:39 +0000",aws-waf,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-waf-sensitivity-levels-sql-injection-rule-statements/, AWS WAF adds sensitivity levels for SQL injection rule statements," AWS WAF now supports setting sensitivity levels for SQL injection (SQLi) rule statements, giving you greater control over how AWS WAF evaluates requests to your applications for SQLi attacks. AWS is excited to announce that the AWS Well-Architected Tool is now available in AWS GovCloud (US) Regions. AWS GovCloud (US) is an isolated region designed to host sensitive data and regulated workloads in the cloud. The AWS Well-Architected Tool is used to help customers review the state of their applications and workloads against architectural best practices, and improve decision-making, minimize risks, and reduce costs. With this Region expansion, customers with specific regulatory and compliance requirements and AWS Partners in both the public and commercial sectors can now conduct self-service Well-Architected Reviews. AWS Well-Architected Tool now integrates with AWS Organizations enabling cloud architects to share their workloads and custom lenses more broadly across their organization. AWS Organizations is an account management service that allows customers to consolidate multiple AWS accounts into a single, centrally managed organization. This update will increase efficiency and make it easier to share lenses and workloads with multiple accounts. Bottlerocket, a Linux-based operating system that is purpose built to run container workloads, now has a Center for Internet Security "
ca39284cc7d82e1ab0b2f5a0bd3f76b1bdfb7ece,"Mon, 01 Aug 2022 16:47:24 +0000",bottlerocket,containers,https://aws.amazon.com/about-aws/whats-new/2022/08/bottlerocket-available-amazon-web-services-china-regions/, Bottlerocket is now available in Amazon Web Services China Regions," Bottlerocket, a Linux-based operating system designed to run container workloads, is now available in Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. Today, we are announcing availability of a Bottlerocket "
819cd65708683ff33e62948e146ab15a79777a6e,"Wed, 12 Oct 2022 21:40:10 +0000",cloud-financial-management,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/10/new-cost-explorer-console-experience/,Announcing a new Cost Explorer console experience," Starting today, Cost Explorer customers will see a new interface in the console to visualize their cost and usage. The new summary widget provides an at-a-glance view of the total and average monthly cost. Customers can also look up specific spend and usage information using the new search function introduced in the table view. Cost Explorer has an easy-to-use interface that lets you visualize, understand, and manage your AWS costs and usage over time. You can analyze your data at a high level (for example, total costs and usage across all accounts) or dive deeper into your costs and usage data to identify trends, pinpoint cost drivers, and detect anomalies. Starting today, Cost Explorer customers will see a new interface in the console to visualize their cost and usage. The new summary widget provides an at-a-glance view of the total and average monthly cost. Customers can also look up specific spend and usage information using the new search function introduced in the table view. Cost Explorer has an easy-to-use interface that lets you visualize, understand, and manage your AWS costs and usage over time. You can analyze your data at a high level (for example, total costs and usage across all accounts) or dive deeper into your costs and usage data to identify trends, pinpoint cost drivers, and detect anomalies. Starting today, you can now budget by two new dimensions, invoicing entity and legal entity, in AWS Budgets. This additional granularity allows you to setup specific budget thresholds according to your invoice issuer using invoicing entity or AWS Marketplace seller using legal entity. Once you’ve saved your budget, you can then receive alerts when your actual costs exceed (or are forecasted to exceed) your budget thresholds. AWS Budgets is generally available in all public AWS Regions. AWS Cost Categories "
376700978dff478e222db530ddeb3495f2d0764e,"Tue, 27 Sep 2022 17:14:58 +0000",cloud-financial-management,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/09/aws-budgets-1-click-templates-tutorials/,Announcing 1-Click templates and tutorials in AWS Budgets," Starting today, you can create budgets using a simplified 1-click workflow for common budgeting scenarios as well as take step-by-step tutorials to learn about creating different kinds of budgets. AWS Budgets "
9ff9cc315a1f0f5cbee755e2b8c5305da2a70fda,"Thu, 18 Aug 2022 22:06:09 +0000",cloud-financial-management,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-cost-categories-out-of-cycle-cost-categorization/, AWS Cost Categories now support Out of Cycle cost categorization," AWS Cost Categories "
92e9788e4e0a91f05d9276952b78a7dfae0c3de7,"Wed, 17 Aug 2022 16:28:09 +0000",cloud-financial-management,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/08/aws-cost-anomaly-detection-simplified-interface-anomaly-exploration/, AWS Cost Anomaly Detection gets a simplified interface for anomaly exploration," Starting today, customers of AWS Cost Anomaly Detection will see a new interface in the console, where they view and analyze anomalies and their root causes. AWS Cost Anomaly Detection monitors customers’ spending patterns to detect and alert on anomalous (increased) spend, and to provide root cause analyses. AWS Compute Optimizer is a service that recommends optimal AWS resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Starting today, you can designate a member account in your organization to retrieve Compute Optimizer recommendations and manage Compute Optimizer preferences, giving you greater flexibility to identify resource optimization opportunities centrally. We’re excited to announce the general availability of AWS Compute Optimizer "
bdf9330df48b114af754c7d4f43fe1905ece738e,"Wed, 27 Jul 2022 18:11:30 +0000",cloud-financial-management,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/07/aws-billing-conductor-ou-import/, AWS announces AWS Billing Conductor OU Import," Starting today, customers can use the Organizational Units (OUs) account groupings feature within AWS Organizations when creating their billing groups in the AWS Billing Conductor (ABC) console. For customers who are new to ABC and interested in segmenting, computing, and viewing their cost and usage data by OU, the new point-in-time OU import capability reduces the level of effort needed to achieve account parity between OUs and ABC billing groups. Starting today, the AWS Bills page has a re-designed user experience, making it easier to understand your AWS spend. The Bills page provides an overview of your AWS charges and the ability to drill into key details"
9b6282bbd23c2bea3baf21742d35c245f38ed9a0,"Wed, 22 Jun 2022 20:01:15 +0000",cost-usage-reports,cost-management,https://aws.amazon.com/about-aws/whats-new/2022/06/aws-cost-allocation-tag-api/, Announcing AWS Cost Allocation Tag API," AWS Cost Allocation Tags now offers APIs that you can use to activate and deactivate your Cost Allocation Tags. After you activate a Cost Allocation Tag, it will appear in your cost management products, such as AWS Cost Explorer and AWS Cost and Usage Report. You can use Cost Allocation Tags to filter, categorize, and track your AWS cost and usage information. Previously, you had to activate and deactivate Cost Allocation Tag on the Cost Allocation Tag page in the AWS Billing Console. With this launch, you can use the ListCostAllocationTags API to list all Tags and use the UpdateCostAllocationTagsStatus API to activate and deactivate Cost Allocation Tags. AWS Cost Allocation Tags now offers APIs that you can use to activate and deactivate your Cost Allocation Tags. After you activate a Cost Allocation Tag, it will appear in your cost management products, such as AWS Cost Explorer and AWS Cost and Usage Report. You can use Cost Allocation Tags to filter, categorize, and track your AWS cost and usage information. Previously, you had to activate and deactivate Cost Allocation Tag on the Cost Allocation Tag page in the AWS Billing Console. With this launch, you can use the ListCostAllocationTags API to list all Tags and use the UpdateCostAllocationTagsStatus API to activate and deactivate Cost Allocation Tags. We are excited to launch two new features that help enforce access controls with Amazon EMR on EC2 clusters (EMR Clusters). These features are supported with jobs that are submitted to the cluster using the EMR Steps API. First is Runtime Role with EMR Steps. A Runtime Role is an AWS Identity and Access Management (IAM) role that you associate with an EMR Step. An EMR Step uses this role to access AWS resources. The second is integration with AWS Lake Formation to apply table and column-level access controls for Apache Spark and Apache Hive jobs with EMR Steps. NICE DCV version 2022.1 introduces performance improvements and multiple new features, such as support for Rocky Linux 8.5 and Ubuntu 22.04 servers. NICE DCV "
17c96f20dfb6ba803f991197513181eae098db5e,"Fri, 26 Aug 2022 16:49:29 +0000",rosa,,https://aws.amazon.com/about-aws/whats-new/2022/08/red-hat-openshift-service-aws-rosa-available-asia-pacific-jakarta-region/, Red Hat OpenShift Service on AWS (ROSA) is now available in the Asia Pacific (Jakarta) Region," Today, we are announcing the availability of Red Hat OpenShift Service on AWS (ROSA) in the Asia Pacific (Jakarta) Region. AWS Activate provides startups, including both smaller, early stage companies and more advanced digital businesses, with free tools and resources to quickly get started on AWS. Today we are excited to announce the availability of the new AWS Activate to any self-identified startup. Activate is full of personalized tools and resources designed to support startups through every stage of their journey, from their initial idea, to building a MVP, to securing their first customer, to scaling their business on AWS and beyond. We are excited to launch the AWS Smart City Competency to provide best-in-class partner recommendations to our customers and broader market. With cities at the front line of economic, social, and global challenges such as energy and water use, traffic management, sanitation, and sustainability, the quest to build cities that “work” is increasingly reliant on technology solutions. Many AWS Partners leverage the power of AWS Cloud to innovate and deploy meaningful smart city solutions for these challenges, including urban data platforms to help cities gain insights for data-driven decision making"
8499f543abcfe10d95ff8f97ac244396977ab437,"Wed, 31 Aug 2022 21:51:18 +0000",,,https://aws.amazon.com/about-aws/whats-new/2022/08/workload-consolidation-karpenter/, Announcing Workload Consolidation for Karpenter," Starting with v0.15.0, Karpenter will automatically consolidate Kubernetes cluster workloads onto new EC2 instances to help increase utilization and lower cluster compute costs. Karpenter is a flexible, high-performance Kubernetes cluster autoscaler that helps improve application availability, operational overhead, and cluster compute utilization by launching new EC2 instances that are best fit to the scale, scheduling, and resource requirements of the workloads in a cluster. Customers can use Karpenter with Amazon Elastic Kubernetes Service (EKS) or any conformant Kubernetes cluster. We are excited to announce the new AWS Supply Chain Competency, featuring top AWS Partners who provide cloud-native supply chain solutions on AWS and professional services for companies of every size and segment to enhance their responsiveness to customers, increase the speed of decision making and operation through automation and AI, strengthen their resilience to disruptions and become more responsible to the environment and global community. You can now configure fine grained access control for data plane actions when using AWS Identity and Access Management (IAM) to connect to Amazon Neptune. "
dba7996e91343ba84ef953e8738048bc54a304ff,"Tue, 26 Jul 2022 21:13:25 +0000",,security-identity-and-compliance,https://aws.amazon.com/about-aws/whats-new/2022/07/introducing-re-launched-aws-security-competency/, Introducing the re-Launched AWS Security Competency," We are excited to announce AWS Security Competency has been re-Launched with new consolidated categories to help customers more easily discover AWS Partner solutions validated by AWS. Partners with Security Competency provide solutions to help customers elevate their security in the cloud at any stage in their cloud journey. Of the eight new consolidated categories, six contain a complimentary collection of AWS-validated partner software and services offerings to help customers with their cloud security software tool choices and follow-on implementation and training services: application security, compliance and privacy, data protection, identity and access management, infrastructure protection, threat detection and response. We are excited to announce specialization categories for the AWS Level 1 MSSP Competency. These six new specialized managed security services for the Level 1 MSSP Competency help customers discover partner solutions validated by AWS security experts to provide 24x7 monitoring and response services that include and extend beyond AWS’s Level 1 Managed Security Services (Level 1 MSS) baseline. AWS introduced the Level 1 MSS baseline detailing ten foundational capabilities for MSSP partners to align their managed services to in August 2021, along with the Level 1 MSSP Competency, establishing an industry-first quality standard for customers to measure their security operations to. AWS Wickr is an end-to-end encrypted enterprise communication service that allows secure collaboration across messaging, voice and video calling, file sharing, and screen sharing. The service is now in preview. AWS Wickr helps organizations address evolving threats and regulations by combining security and administrative features designed to safeguard sensitive communications, enforce information governance policies, and retain information as required. Encryption takes place locally, on the endpoint. Every call, message, and file is encrypted with a new random key, and no one but intended recipients—not even AWS—can decrypt them. Amazon Relational Database Service (Amazon RDS) for MariaDB now supports R5b database (DB) instances. R5b DB instances support up to 3x the I/O operations per second (IOPS) and 3x the bandwidth on Amazon Elastic Block Store (Amazon EBS) compared to the x86-based memory-optimized R5 DB instances. R5b DB instances are a great choice for IO-intensive DB workloads. Porting Assistant for .NET now supports assessment and porting of legacy .NET Framework applications written in VB.NET language. With this release, Porting Assistant will translate VB.NET class libraries, web APIs, and console applications to .NET Core 3.1, .NET 5, or .NET 6 to simplify the modernization of legacy .NET Framework applications written in VB.NET . Developers can use the Porting Assistant for .NET standalone tool or Porting Assistant for .NET Visual Studio IDE extension to modernize their legacy VB.NET applications. Support for VB.NET is added in addition to existing support for assessment and porting of C# based .NET Framework applications. Amazon Nimble Studio now supports seamless AWS Identity Access Management (IAM) profile access for studio components, and custom studio components, directly to workstation sessions, available immediately. This allows Nimble Studio admins to set up and control additional properties of their streaming workstations via seamless IAM role permissions, ensuring artists have the right level of access for the tasks they’re working on, without the need to switch profiles. Custom components use PowerShell scripts for Windows, and shell scripts for Linux instances. These configurations can then be added to Nimble Studio Launch Profiles for easy retrieval. With custom configurations, you can add resources to your workstations and run custom scripts on your instance, system, and user initialization with greater flexibility than before with seamless IAM role permissions. The AWS Serverless Application Model (SAM) announces general availability of AWS SAM Accelerate. The AWS SAM Command Line Interface (CLI) is a developer tool that makes it easier to build, locally test, package, and deploy serverless applications. AWS SAM Accelerate is a new capability of AWS SAM CLI that makes it easier for developers to test code changes against a cloud-based environment, reducing the time from local iteration to production-readiness. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code in the integrated development environment (IDE). During preview, CodeWhisperer is available for Java, JavaScript, and Python programming languages. The service integrates with multiple IDEs, including JetBrains (IntelliJ, PyCharm, and WebStorm), Visual Studio Code, AWS Cloud9, and the AWS Lambda console. Amazon Quantum Ledger Database (Amazon QLDB) launches a new Console Query Editor providing an improved interface for authoring queries, debugging transactions, and exploring results. The new editor supports tabs for simple management of multiple queries, PartiQL syntax highlighting, query performance statistics, multi-statement transactions, and a timer to track the transaction duration limit. You can search and filter your results across the table view, Ion document view, or CSV view for easy exploration of your results in the format you prefer. Query results can also be downloaded in Ion and CSV formats.
A few key features included in this new version are: