OpenObserve

OpenObserve is an open-source observability platform for logs, metrics, traces and LLM monitoring, built in Rust for low storage costs.

OpenObserve collects and correlates logs, metrics and traces from every layer of an application, from the frontend and APIs to databases, infrastructure, and AI models and agents. It is written in Rust on the DataFusion engine and stores data in columnar Parquet files without separate indexes, which the company says cuts storage to 1/140th and compute to 1/30th of a named alternative. Teams search petabytes of logs with SQL, store Prometheus-compatible metrics, follow distributed traces, build drag-and-drop dashboards or import Grafana boards, and route alerts to Slack, PagerDuty or email. It also offers LLM observability, real user monitoring, session replay, synthetic monitoring, SLOs and an AI SRE agent that triages incidents. OpenObserve is open source with more than 21,000 GitHub stars, and can be self-hosted or used as a cloud service priced per gigabyte.

OpenObserve at a glance

Best for: Software engineer
Runs on: Web, self-hosted, open source, API
Pricing: Free to self-host; cloud from $0.50/GB ingested and $0.01/GB queried; Enterprise custom
Released: May 2023
Category: AI agent tool
Website: openobserve.ai

Key features

Logs, metrics and traces in one platform
SQL search over petabyte-scale logs
LLM and AI agent observability
AI SRE agent for incident triage
Dashboards, Grafana import and alerts
Real user monitoring, session replay and synthetics
Self-hosting with storage in the user's own bucket

Use it for

Replace a costly logging tool with self-hosted storage
Track token spend and failures of LLM apps
Triage a production incident across services

Alternatives to OpenObserve

New Relic — Unified visibility across applications, infrastructure, and AI models.
Tracium — OpenTelemetry-native traces and metrics with self-hosting or managed cloud options.
OpenLIT — It enables comprehensive monitoring, evaluation, and management of AI agents via OpenTelemetry.
OpenLLMetry — Integrates into applications with just two lines of code.
Laminar — It automatically detects agent failure patterns without manual definitions.
Observal — Centralizes agent extensions with built-in insights and self-hosted security.
Opik — It offers comprehensive tracing, automated evaluations, and open-source flexibility.
KloudMate 2.0 — Unifies logs, metrics, traces, and an SRE Copilot in one platform.
Parseable — An open, cost-effective observability platform with AI-native querying.
Hive — It runs real business processes reliably using dynamic colonies of worker agents.
OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
OpenRMM — Self-hosted infrastructure with complete data privacy and human approval for every action.

All OpenObserve alternatives