Tired of staring at dashboards full of metrics, logs, and traces—yet still having no idea what’s really wrong?
Coroot is the open-source (Apache 2.0) observability platform that finally fixes that. It doesn’t just collect data; it automatically analyzes it and hands you actionable insights, powered by eBPF and OpenTelemetry.
What Makes Coroot Different?
- Zero instrumentation required: eBPF gathers metrics, logs, traces, and profiles automatically. That means no code changes and no invasive sidecars.
- Full visibility from day one: Get 100% service map coverage immediately with built-in inspections that audit every application without manual configuration.
- Plays nice with everything: Seamless OpenTelemetry support, even for legacy or third-party services that are normally a “black box.”
- At-a-glance health: Manage hundreds of services with SLO tracking and one-click anomaly drills via distributed tracing.
- Logs that make sense: Features auto-clustered patterns, direct correlation to traces, and super-fast search powered by ClickHouse.
- Instant profiling: Spot CPU or memory spikes and drill down to the exact line of code in one click.
- Surprisingly smart: Its built-in expertise automatically detects and explains over 80% of common problems.
- Deployment & Cost superpowers: Tracks every Kubernetes rollout (no CI/CD integration needed) and shows cloud spend per application (AWS, GCP, Azure) without needing your cloud credentials.
Ready to Try It?
Installation is simple—run it in a Docker container or deploy it to any Kubernetes cluster.
- Quick Start: Installation Guide
- See it in Action: Live Demo
- Official Repository: coroot/coroot on GitHub
Coroot turns observability from a chore into something genuinely helpful. If you’ve ever wasted hours chasing a vague alert, this is for you.
What’s your biggest observability pain point? Have you made the jump to eBPF-powered tools yet? Let’s talk in the comments!
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