#14 · Primary category: MLOps & Evaluation

openobserve

analytics apm datadog elasticsearch grafana jaeger kibana log-analytics log-management log-search logs metrics monitoring observability openobserve opentelemetry prometheus rust-lang splunk traces

Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

Project last updated:08/29/26

GitHub Stars

21.6K

Forks

1.1K

Contributors

138

License

AGPL-3.0

Why we included this project

OpenObserve is a self-hosted observability platform that brings logs, metrics, and traces together in one place without the per-seat pricing of Datadog or Splunk. The storage design is what keeps the price down: columnar Parquet files on S3 cut storage costs by up to 140x, so you can keep months of history instead of trimming retention to fit a budget. If you build on LLMs, it also captures prompt and response traffic, so you can watch latency, token usage, and error rates on your AI features alongside the rest of your stack. Everything runs from a single binary, which a small team can stand up and operate without much fuss, and it ingests from OpenTelemetry, LangChain, or LangFuse instrumentation you may already have. Teams on Prometheus or OpenTelemetry can point those sources at it directly, so it slots into an established stack rather than demanding a rewrite.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category