OpenObserve Documentation

OpenObserve is an open-source, unified, petabyte-scale observability platform for logs, metrics, and traces, built in Rust, with SQL and PromQL.

Learn how to get up and running with OpenObserve through tutorials, integrations, and references. OpenObserve (O2) unifies logs, metrics, and traces into one cloud-native platform.

Quickstart Download

Start here

Follow these 5 steps in order to go from zero to a working observability setup.

1. 1 Install Run OpenObserve locally or deploy to Kubernetes
2. 2 Ingest Send your first logs, metrics, or traces
3. 3 Analyze Search and filter with SQL and full-text
4. 4 Visualize Build your first dashboard
5. 5 Monitor Set conditions and notification channels

Explore by pillar

Logs

Search, filter, and analyze logs with SQL and full-text queries at petabyte scale.

Metrics

Collect, store, and visualize metrics from any Prometheus-compatible source.

Traces

Distributed tracing to understand request flow across services.

LLM Monitoring

Track prompts, tokens, latency, and cost across LLM applications.

Dashboards

Build interactive dashboards on top of any data stream.

Alerts

Continuous monitoring with conditional alerts and notifications.

Pipelines

Transform and route data during ingestion with no-code pipelines.

RUM

Real user monitoring with session replay and error tracking.

User Guides

Tutorials

Create Your First Dashboard

Build dashboards and visualizations easily

Advanced Log Queries

Master SQL syntax to write powerful queries for in-depth log analysis

Production Deployment

Deploy OpenObserve with high availability

Set Up Alerts

Configure alert conditions and notification channels for proactive monitoring

Ingest Your First Logs

Send your first logs to OpenObserve in minutes using a simple curl request

Concepts

Log Search

View and filter logs, run SQL queries, transform logs

Streams

Define how data is ingested, stored, indexed, and queried

Ingestion

Ingest logs, metrics, and traces from various sources

IAM

Manage user identities and control access to resources

Storage Management

Configure how ingested stream data and metadata are stored

Migrate to OpenObserve

From Grafana (LGTM)

Move your Loki, Mimir, and Tempo data into OpenObserve seamlessly

Ready to start?

Begin with the Quickstart, then ingest your first data and run your first query.

Community & Support

Community

Join discussions and connect with fellow observability practitioners

Resources

Explore guides, videos, and content to learn and grow your expertise

Contact Sales

Get in touch with our team for tailored enterprise solutions