OpenObserve

What is OpenObserve?

OpenObserve is an open-source observability platform that collects, stores, and correlates logs, metrics, and traces. It uses columnar Parquet storage built in Rust on the DataFusion engine to avoid indexing overhead. The platform is available as a self-hosted open-source project or through a managed cloud service.

What are the features of OpenObserve?

• Log search

  Ingests and queries log lines using SQL without requiring index construction.
• Distributed tracing

  Follows requests across services with trace context auto-correlated to logs and metrics.
• Metrics collection

  Stores and queries Prometheus-compatible metrics using the same engine as logs.
• LLM observability

  Traces prompts, completions, token usage, and cost across LLM applications.
• Automated incident triage (AI SRE)

  An agent that correlates root causes for incidents and drafts postmortems.
• Alerting

  Configures real-time and scheduled alerts on telemetry data with routing to Slack, PagerDuty, and email.

What are the use cases of OpenObserve?

• Kubernetes cluster monitoring

  Deploys a collector via a single command to gather container logs, cluster events, metrics, and zero-code traces together.
• LLM application debugging

  Evaluates prompt outputs against policy documents to identify failed completions and track token spend per model.
• Cross-cloud telemetry consolidation

  Unifies logs, metrics, and traces from AWS, GCP, and Azure environments using OpenTelemetry and StatsD collectors.

How to use OpenObserve?

• API workflow for Kubernetes setup

  Run the provided shell script with the cluster name, access key, and OpenObserve URL to automatically install cert-manager, the OTel operator, and the collector.

OpenObserve Pricing Information:

• Open source

  Free to download and self-host.
• Managed cloud

  Offers a free starting tier; specific paid plan prices and limits are not detailed in the source.