openapi: 3.0.0 info: version: '2019-11-01' x-release: v4 title: 'AWS Compute Optimizer #X Amz Target=ComputeOptimizerService.DeleteRecommendationPreferences #X Amz Target=ComputeOptimizerService.DeleteRecommendationPreferences #X Amz Target=ComputeOptimizerService.GetECSServiceRecommendations API' description: Compute Optimizer is a service that analyzes the configuration and utilization metrics of your Amazon Web Services compute resources, such as Amazon EC2 instances, Amazon EC2 Auto Scaling groups, Lambda functions, Amazon EBS volumes, and Amazon ECS services on Fargate. It reports whether your resources are optimal, and generates optimization recommendations to reduce the cost and improve the performance of your workloads. Compute Optimizer also provides recent utilization metric data, in addition to projected utilization metric data for the recommendations, which you can use to evaluate which recommendation provides the best price-performance trade-off. The analysis of your usage patterns can help you decide when to move or resize your running resources, and still meet your performance and capacity requirements. For more information about Compute Optimizer, including the required permissions to use the service, see the Compute Optimizer User Guide. x-logo: url: https://twitter.com/awscloud/profile_image?size=original backgroundColor: '#FFFFFF' termsOfService: https://aws.amazon.com/service-terms/ contact: name: Mike Ralphson email: mike.ralphson@gmail.com url: https://github.com/mermade/aws2openapi x-twitter: PermittedSoc license: name: Apache 2.0 License url: http://www.apache.org/licenses/ x-providerName: amazonaws.com x-serviceName: compute-optimizer x-aws-signingName: compute-optimizer x-origin: - contentType: application/json url: https://raw.githubusercontent.com/aws/aws-sdk-js/master/apis/compute-optimizer-2019-11-01.normal.json converter: url: https://github.com/mermade/aws2openapi version: 1.0.0 x-apisguru-driver: external x-apiClientRegistration: url: https://portal.aws.amazon.com/gp/aws/developer/registration/index.html?nc2=h_ct x-apisguru-categories: - cloud x-preferred: true servers: - url: http://compute-optimizer.{region}.amazonaws.com variables: region: description: The AWS region enum: - us-east-1 - us-east-2 - us-west-1 - us-west-2 - us-gov-west-1 - us-gov-east-1 - ca-central-1 - eu-north-1 - eu-west-1 - eu-west-2 - eu-west-3 - eu-central-1 - eu-south-1 - af-south-1 - ap-northeast-1 - ap-northeast-2 - ap-northeast-3 - ap-southeast-1 - ap-southeast-2 - ap-east-1 - ap-south-1 - sa-east-1 - me-south-1 default: us-east-1 description: The AWS Compute Optimizer multi-region endpoint - url: https://compute-optimizer.{region}.amazonaws.com variables: region: description: The AWS region enum: - us-east-1 - us-east-2 - us-west-1 - us-west-2 - us-gov-west-1 - us-gov-east-1 - ca-central-1 - eu-north-1 - eu-west-1 - eu-west-2 - eu-west-3 - eu-central-1 - eu-south-1 - af-south-1 - ap-northeast-1 - ap-northeast-2 - ap-northeast-3 - ap-southeast-1 - ap-southeast-2 - ap-east-1 - ap-south-1 - sa-east-1 - me-south-1 default: us-east-1 description: The AWS Compute Optimizer multi-region endpoint - url: http://compute-optimizer.{region}.amazonaws.com.cn variables: region: description: The AWS region enum: - cn-north-1 - cn-northwest-1 default: cn-north-1 description: The AWS Compute Optimizer endpoint for China (Beijing) and China (Ningxia) - url: https://compute-optimizer.{region}.amazonaws.com.cn variables: region: description: The AWS region enum: - cn-north-1 - cn-northwest-1 default: cn-north-1 description: The AWS Compute Optimizer endpoint for China (Beijing) and China (Ningxia) security: - hmac: [] tags: - name: '#X Amz Target=ComputeOptimizerService.GetECSServiceRecommendations' paths: /#X-Amz-Target=ComputeOptimizerService.GetECSServiceRecommendations: parameters: - $ref: '#/components/parameters/X-Amz-Content-Sha256' - $ref: '#/components/parameters/X-Amz-Date' - $ref: '#/components/parameters/X-Amz-Algorithm' - $ref: '#/components/parameters/X-Amz-Credential' - $ref: '#/components/parameters/X-Amz-Security-Token' - $ref: '#/components/parameters/X-Amz-Signature' - $ref: '#/components/parameters/X-Amz-SignedHeaders' post: operationId: GetECSServiceRecommendations description:
Returns Amazon ECS service recommendations.
Compute Optimizer generates recommendations for Amazon ECS services on Fargate that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
responses: '200': description: Success content: application/json: schema: $ref: '#/components/schemas/GetECSServiceRecommendationsResponse' examples: GetECSServiceRecommendations200Example: summary: Default GetECSServiceRecommendations 200 x-microcks-default: true value: nextToken: example ecsServiceRecommendations: example errors: example '480': description: OptInRequiredException content: application/json: schema: $ref: '#/components/schemas/OptInRequiredException' examples: GetECSServiceRecommendations480Example: summary: Default GetECSServiceRecommendations 480 x-microcks-default: true value: example '481': description: InternalServerException content: application/json: schema: $ref: '#/components/schemas/InternalServerException' examples: GetECSServiceRecommendations481Example: summary: Default GetECSServiceRecommendations 481 x-microcks-default: true value: example '482': description: ServiceUnavailableException content: application/json: schema: $ref: '#/components/schemas/ServiceUnavailableException' examples: GetECSServiceRecommendations482Example: summary: Default GetECSServiceRecommendations 482 x-microcks-default: true value: example '483': description: AccessDeniedException content: application/json: schema: $ref: '#/components/schemas/AccessDeniedException' examples: GetECSServiceRecommendations483Example: summary: Default GetECSServiceRecommendations 483 x-microcks-default: true value: example '484': description: InvalidParameterValueException content: application/json: schema: $ref: '#/components/schemas/InvalidParameterValueException' examples: GetECSServiceRecommendations484Example: summary: Default GetECSServiceRecommendations 484 x-microcks-default: true value: example '485': description: ResourceNotFoundException content: application/json: schema: $ref: '#/components/schemas/ResourceNotFoundException' examples: GetECSServiceRecommendations485Example: summary: Default GetECSServiceRecommendations 485 x-microcks-default: true value: example '486': description: MissingAuthenticationToken content: application/json: schema: $ref: '#/components/schemas/MissingAuthenticationToken' examples: GetECSServiceRecommendations486Example: summary: Default GetECSServiceRecommendations 486 x-microcks-default: true value: example '487': description: ThrottlingException content: application/json: schema: $ref: '#/components/schemas/ThrottlingException' examples: GetECSServiceRecommendations487Example: summary: Default GetECSServiceRecommendations 487 x-microcks-default: true value: example requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/GetECSServiceRecommendationsRequest' parameters: - name: X-Amz-Target in: header required: true schema: type: string enum: - ComputeOptimizerService.GetECSServiceRecommendations summary: Amazon Compute Optimizer Get E C S Service Recommendations x-microcks-operation: delay: 0 dispatcher: FALLBACK tags: - '#X Amz Target=ComputeOptimizerService.GetECSServiceRecommendations' components: parameters: X-Amz-Credential: name: X-Amz-Credential in: header schema: type: string required: false X-Amz-Algorithm: name: X-Amz-Algorithm in: header schema: type: string required: false X-Amz-Content-Sha256: name: X-Amz-Content-Sha256 in: header schema: type: string required: false X-Amz-Security-Token: name: X-Amz-Security-Token in: header schema: type: string required: false X-Amz-SignedHeaders: name: X-Amz-SignedHeaders in: header schema: type: string required: false X-Amz-Date: name: X-Amz-Date in: header schema: type: string required: false X-Amz-Signature: name: X-Amz-Signature in: header schema: type: string required: false schemas: ContainerRecommendation: type: object properties: containerName: allOf: - $ref: '#/components/schemas/ContainerName' - description: ' The name of the container. ' memorySizeConfiguration: allOf: - $ref: '#/components/schemas/MemorySizeConfiguration' - description: ' The recommended memory size configurations for the container. ' cpu: allOf: - $ref: '#/components/schemas/NullableCpu' - description: ' The recommended number of CPU units reserved for the container. ' description: ' The CPU and memory recommendations for a container within the tasks of your Amazon ECS service. ' ECSServiceRecommendationFindingReasonCodes: type: array items: $ref: '#/components/schemas/ECSServiceRecommendationFindingReasonCode' InternalServerException: {} ECSServiceRecommendationFilter: type: object properties: name: allOf: - $ref: '#/components/schemas/ECSServiceRecommendationFilterName' - description:The name of the filter.
Specify Finding to return recommendations with a specific finding classification.
Specify FindingReasonCode to return recommendations with a specific finding reason code.
You can filter your Amazon ECS service recommendations by tag:key and tag-key tags.
A tag:key is a key and value combination of a tag assigned to your Amazon ECS service recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all Amazon ECS service recommendations that have a tag with the key of Owner and the value of TeamA, specify tag:Owner for the filter name and TeamA for the filter value.
A tag-key is the key of a tag assigned to your Amazon ECS service recommendations. Use this filter to find all of your Amazon ECS service recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your Amazon ECS service recommendations with a tag key value of Owner or without any tag keys assigned.
The value of the filter.
The valid values for this parameter are as follows:
If you specify the name parameter as Finding, specify Optimized, NotOptimized, or Unavailable.
If you specify the name parameter as FindingReasonCode, specify CPUUnderprovisioned, CPUOverprovisioned, MemoryUnderprovisioned, or MemoryOverprovisioned.
The ARN that identifies the Amazon ECS service.
The following is the format of the ARN:
arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
The maximum number of Amazon ECS service recommendations to return with a single request.
To retrieve the remaining results, make another request with the returned nextToken value.
Return the Amazon ECS service recommendations to the specified Amazon Web Services account IDs.
If your account is the management account or the delegated administrator of an organization, use this parameter to return the Amazon ECS service recommendations to specific member accounts.
You can only specify one account ID per request.
ECSServiceLaunchType: type: string enum: - EC2 - Fargate Tag: type: object properties: key: allOf: - $ref: '#/components/schemas/TagKey' - description: ' One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values. ' value: allOf: - $ref: '#/components/schemas/TagValue' - description: ' One part of a key-value pair that make up a tag. A value acts as a descriptor within a tag category (key). The value can be empty or null. ' description: ' A list of tag key and value pairs that you define. ' LowerBoundValue: type: number format: double ContainerRecommendations: type: array items: $ref: '#/components/schemas/ContainerRecommendation' MissingAuthenticationToken: {} MetricValue: type: number format: double NullableMemory: type: integer ECSServiceUtilizationMetrics: type: array items: $ref: '#/components/schemas/ECSServiceUtilizationMetric' ContainerConfiguration: type: object properties: containerName: allOf: - $ref: '#/components/schemas/ContainerName' - description: ' The name of the container. ' memorySizeConfiguration: allOf: - $ref: '#/components/schemas/MemorySizeConfiguration' - description: ' The memory size configurations for the container. ' cpu: allOf: - $ref: '#/components/schemas/NullableCpu' - description: ' The number of CPU units reserved for the container. ' description: ' Describes the container configurations within the tasks of your Amazon ECS service. ' NullableMemoryReservation: type: integer AccountIds: type: array items: $ref: '#/components/schemas/AccountId' AutoScalingConfiguration: type: string enum: - TargetTrackingScalingCpu - TargetTrackingScalingMemory GetECSServiceRecommendationsResponse: type: object properties: nextToken: allOf: - $ref: '#/components/schemas/NextToken' - description: ' The token to advance to the next page of Amazon ECS service recommendations. ' ecsServiceRecommendations: allOf: - $ref: '#/components/schemas/ECSServiceRecommendations' - description: ' An array of objects that describe the Amazon ECS service recommendations. ' errors: allOf: - $ref: '#/components/schemas/GetRecommendationErrors' - description: ' An array of objects that describe errors of the request. ' ECSServiceRecommendationOption: type: object properties: memory: allOf: - $ref: '#/components/schemas/NullableMemory' - description: ' The memory size of the Amazon ECS service recommendation option. ' cpu: allOf: - $ref: '#/components/schemas/NullableCpu' - description: ' The CPU size of the Amazon ECS service recommendation option. ' savingsOpportunity: $ref: '#/components/schemas/SavingsOpportunity' projectedUtilizationMetrics: allOf: - $ref: '#/components/schemas/ECSServiceProjectedUtilizationMetrics' - description: ' An array of objects that describe the projected utilization metrics of the Amazon ECS service recommendation option. ' containerRecommendations: allOf: - $ref: '#/components/schemas/ContainerRecommendations' - description: ' The CPU and memory size recommendations for the containers within the task of your Amazon ECS service. ' description: ' Describes the recommendation options for an Amazon ECS service. ' ECSServiceRecommendationOptions: type: array items: $ref: '#/components/schemas/ECSServiceRecommendationOption' ECSServiceProjectedUtilizationMetrics: type: array items: $ref: '#/components/schemas/ECSServiceProjectedUtilizationMetric' FilterValues: type: array items: $ref: '#/components/schemas/FilterValue' ECSServiceRecommendations: type: array items: $ref: '#/components/schemas/ECSServiceRecommendation' MaxResults: type: integer minimum: 0 maximum: 1000 SavingsOpportunity: type: object properties: savingsOpportunityPercentage: allOf: - $ref: '#/components/schemas/SavingsOpportunityPercentage' - description: The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer recommendations for a given resource. estimatedMonthlySavings: allOf: - $ref: '#/components/schemas/EstimatedMonthlySavings' - description: An object that describes the estimated monthly savings amount possible by adopting Compute Optimizer recommendations for a given resource. This is based on the On-Demand instance pricing.. description:Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.
Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.
Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.
Describes the estimated monthly savings amount possible, based on On-Demand instance pricing, by adopting Compute Optimizer recommendations for a given resource.
For more information, see Estimated monthly savings and savings opportunities in the Compute Optimizer User Guide.
ECSServiceMetricStatistic: type: string enum: - Maximum - Average ResourceNotFoundException: {} LastRefreshTimestamp: type: string format: date-time SavingsOpportunityPercentage: type: number format: double UpperBoundValue: type: number format: double Code: type: string AccessDeniedException: {} GetRecommendationError: type: object properties: identifier: allOf: - $ref: '#/components/schemas/Identifier' - description: The ID of the error. code: allOf: - $ref: '#/components/schemas/Code' - description: The error code. message: allOf: - $ref: '#/components/schemas/Message' - description: The message, or reason, for the error. description:Describes an error experienced when getting recommendations.
For example, an error is returned if you request recommendations for an unsupported Auto Scaling group, or if you request recommendations for an instance of an unsupported instance family.
ServiceArns: type: array items: $ref: '#/components/schemas/ServiceArn' ECSServiceRecommendationFinding: type: string enum: - Optimized - Underprovisioned - Overprovisioned ECSServiceUtilizationMetric: type: object properties: name: allOf: - $ref: '#/components/schemas/ECSServiceMetricName' - description:The name of the utilization metric.
The following utilization metrics are available:
Cpu — The amount of CPU capacity that's used in the service.
Memory — The amount of memory that's used in the service.
The statistic of the utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
Describes the utilization metric of an Amazon ECS service.
To determine the performance difference between your current Amazon ECS service and the recommended option, compare the utilization metric data of your service against its projected utilization metric data.
ServiceConfiguration: type: object properties: memory: allOf: - $ref: '#/components/schemas/NullableMemory' - description: ' The amount of memory used by the tasks in the Amazon ECS service. ' cpu: allOf: - $ref: '#/components/schemas/NullableCpu' - description: ' The number of CPU units used by the tasks in the Amazon ECS service. ' containerConfigurations: allOf: - $ref: '#/components/schemas/ContainerConfigurations' - description: ' The container configurations within a task of an Amazon ECS service. ' autoScalingConfiguration: allOf: - $ref: '#/components/schemas/AutoScalingConfiguration' - description:Describes the Auto Scaling configuration methods for an Amazon ECS service. This affects the generated recommendations. For example, if Auto Scaling is configured on a service’s CPU, then Compute Optimizer doesn’t generate CPU size recommendations.
The Auto Scaling configuration methods include:
TARGET_TRACKING_SCALING_CPU — If the Amazon ECS service is configured to use target scaling on CPU, Compute Optimizer doesn't generate CPU recommendations.
TARGET_TRACKING_SCALING_MEMORY — If the Amazon ECS service is configured to use target scaling on memory, Compute Optimizer doesn't generate memory recommendations.
For more information about step scaling and target scaling, see Step scaling policies for Application Auto Scaling and Target tracking scaling policies for Application Auto Scaling in the Application Auto Scaling User Guide.
taskDefinitionArn: allOf: - $ref: '#/components/schemas/TaskDefinitionArn' - description: ' The task definition ARN used by the tasks in the Amazon ECS service. ' description: ' The Amazon ECS service configurations used for recommendations. ' NextToken: type: string Tags: type: array items: $ref: '#/components/schemas/Tag' ServiceArn: type: string GetRecommendationErrors: type: array items: $ref: '#/components/schemas/GetRecommendationError' Identifier: type: string ContainerName: type: string ECSServiceProjectedUtilizationMetric: type: object properties: name: allOf: - $ref: '#/components/schemas/ECSServiceMetricName' - description:The name of the projected utilization metric.
The following utilization metrics are available:
Cpu — The percentage of allocated compute units that are currently in use on the service tasks.
Memory — The percentage of memory that's currently in use on the service tasks.
The statistic of the projected utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
Describes the projected utilization metrics of an Amazon ECS service recommendation option.
To determine the performance difference between your current Amazon ECS service and the recommended option, compare the utilization metric data of your service against its projected utilization metric data.
FilterValue: type: string ECSServiceRecommendation: type: object properties: serviceArn: allOf: - $ref: '#/components/schemas/ServiceArn' - description: 'The Amazon Resource Name (ARN) of the current Amazon ECS service.
The following is the format of the ARN:
arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
The launch type the Amazon ECS service is using.
Compute Optimizer only supports the Fargate launch type.
The finding classification of an Amazon ECS service.
Findings for Amazon ECS services include:
Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application performance.
Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional infrastructure costs.
Optimized — When both the CPU and memory of your Amazon ECS service meet the performance requirements of your workload, the service is considered optimized.
The reason for the finding classification of an Amazon ECS service.
Finding reason codes for Amazon ECS services include:
CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
CPUOverprovisioned — The service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
MemoryUnderprovisioned — The service memory configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.
MemoryOverprovisioned — The service memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.