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[![Slack](https://img.shields.io/badge/slack-brightgreen.svg?logo=slack&label=Community&style=flat&color=%2373DC8C&)](https://logg.ing/community) [![Docs](https://img.shields.io/badge/stable%20docs-parseable.com%2Fdocs-brightgreen?style=flat&color=%2373DC8C&label=Docs)](https://logg.ing/docs) [![Build](https://img.shields.io/github/checks-status/parseablehq/parseable/main?style=flat&color=%2373DC8C&label=Build)](https://github.com/parseablehq/parseable/actions) **[Introduction](https://www.parseable.com/docs/introduction)   •  ** **[Docs](https://parseable.com/docs)   •  ** **[Features](https://www.parseable.com/docs/features)   •  ** **[Benchmarks](https://www.parseable.com/docs/benchmarks)     **
Parseable is an open source, columnar data lake platform - purpose built for observability. Send logs, metrics & traces to Parseable via popular logging agents, OpenTelemetry, Kafka, eBPF or other integrations. Use native observability features like alerting, dashboards, anomaly detection, APM, PromQL & SQL - all within a single binary. ## Why Parseable? Purpose built for observability and designed around proven data engineering patterns, Parseable gives you everything you need to make sense of your telemetry data, right out of the box. Some of the key highlights include: - [Data lake architecture](https://www.parseable.com/docs/architecture): Stateless compute over object storage as the backing store. Storage and compute scale independently, so you're not paying for one to grow the other. - [Fully featured](https://www.parseable.com/docs/features): Parseable is feature complete with alerting, dashboards, anomaly detection, APM, and more, all from a single binary without stitching together multiple tools. - [Agent ready](https://www.parseable.com/docs/integrations#ai-agents--llms): Whether you need to observe your AI agents or use LLMs to analyze your telemetry data, Parseable supports both natively. - [OpenTelemetry native](https://www.parseable.com/docs/ingest-data/otel): With native OTel support, you can send telemetry data to Parseable without any custom modifications or plugins. Parseable can be used as a drop-in replacement for your existing OpenTelemetry Collector setup. ## Quickstart Download and run the Parseable binary on your laptop: ```bash curl -fsSL https://logg.ing/install | bash ```
For Windows ```pwsh powershell -c "irm https://logg.ing/install-windows | iex" ```
Once you have Parseable running, ingest data with the command below. This will send logs to the `demo` stream. You can see the logs in the dashboard. ```bash curl --location --request POST 'http://localhost:8000/api/v1/ingest' \ --header 'X-P-Stream: demo' \ --header 'Authorization: Basic YWRtaW46YWRtaW4=' \ --header 'Content-Type: application/json' \ --data-raw '[ { "id": "434a5f5e-2f5f-11ed-a261-0242ac120002", "datetime": "24/Jun/2022:14:12:15 +0000", "host": "153.10.110.81" } ]' ``` Access the UI at http://localhost:8000. Log in with the default credentials `admin` / `admin`. For production deployments, refer to the [installation guide ↗︎](https://www.parseable.com/docs/self-hosted/installation) for best practices and hardening tips. > [!TIP] > Try out the [Parseable cloud](https://app.parseable.com) — 14 days free trial, no credit card required. ## Contributing Contributors [Contribution guide ↗︎](https://github.com/parseablehq/parseable/blob/main/CONTRIBUTING.md) ## Verify images Parseable builds are attested for build provenance and integrity using the [attest-build-provenance](https://github.com/actions/attest-build-provenance) action. The attestations can be verified by having the latest version of [GitHub CLI](https://github.com/cli/cli/releases/latest) installed in your system. Then, execute the following command: ```sh gh attestation verify PATH/TO/YOUR/PARSEABLE/ARTIFACT-BINARY -R parseablehq/parseable ```