coroot
Coroot is an open-source observability and APM platform that automatically collects metrics, logs, traces, and profiles using eBPF, eliminating the need for manual instrumentation. It includes AI-powered root cause analysis, SLO-based alerting, and built-in inspection rules to identify issues without configuration.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | coroot/coroot |
| Owner | coroot |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 7.8k |
| Forks | 385 |
| Open issues | 119 |
| Latest release | v1.23.3 (2026-07-02) |
| Last updated | 2026-07-02 |
| Source | https://github.com/coroot/coroot |
What coroot is
Written in Go, Coroot uses eBPF for zero-instrumentation telemetry collection and integrates with OpenTelemetry for vendor-neutral tracing. It provides a service map, distributed tracing, continuous profiling, log pattern clustering via ClickHouse, and deployment/cost tracking for Kubernetes environments.
Get the coroot source
Clone the repository and explore it locally.
git clone https://github.com/coroot/coroot.gitcd coroot# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- eBPF instrumentation requires Linux kernel 4.16+; verify kernel compatibility in your target deployment nodes before rollout.
- Service map and inspection rules are auto-generated but may require tuning for custom SLOs, thresholds, and alert policies per application.
- Continuous profiling and ClickHouse-backed log storage will consume storage and compute; plan resource allocation based on telemetry volume and retention windows.
- Deployment tracking relies on Kubernetes annotation discovery; ensure CI/CD pipelines emit appropriate metadata or labels for comparison workflow.
- Cost monitoring integrates with cloud provider bills but does not require cloud account credentials; verify financial data visibility and audit trails.
When to avoid it — and what to weigh
- Non-Kubernetes or Bare-Metal Only — Core features (deployment tracking, service discovery) are optimized for Kubernetes. Bare-metal or VM-only environments may require workarounds.
- Lightweight Telemetry Footprint is Critical — eBPF-based collection, while efficient, incurs kernel-level overhead. Extremely latency-sensitive systems should benchmark against lightweight alternatives.
- Custom Observability Pipeline Required — Coroot is opinionated (ClickHouse backend, built-in dashboards, predefined rules). If you need full control over storage and analysis, choose a modular stack instead.
- Regulated Environments with Strict Data Residency — Review data flow and compliance requirements; cloud cost monitoring requires clear data handling policies for sensitive production environments.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license allowing commercial use, modification, and distribution with attribution.
Apache 2.0 is permissive and allows commercial use, including in proprietary products, provided you retain license notices and copyright attribution. No royalties or special permissions required. However, review the LICENSE file and any enterprise agreements if considering Coroot Enterprise features.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
eBPF collection operates at kernel level; review kernel security patches and container runtime policies. Zero-instrumentation means minimal application-level attack surface. No explicit security audit, threat model, or vulnerability disclosure policy mentioned in provided data. Cloud cost monitoring integration should enforce appropriate data access controls and audit logging. Requires review of network policies, RBAC, and secrets management in Kubernetes deployment.
Alternatives to consider
Datadog
Commercial SaaS with broader integrations and managed infrastructure; requires vendor lock-in and ongoing subscription costs.
Prometheus + Grafana + Jaeger
Modular open-source stack offering fine-grained control over storage and visualization but requires manual integration and more operational overhead.
Elastic Observability (ELK Stack)
Full-featured observability platform with logs, metrics, and APM; more mature but heavier resource footprint and steeper learning curve.
Build on coroot with DEV.co software developers
Evaluate Coroot for your Kubernetes environment. Check the live demo, review kernel compatibility, and assess integration with your telemetry stack.
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coroot FAQ
Does Coroot require code instrumentation?
What are the minimum system requirements?
How does root cause analysis work?
Can I use Coroot with non-Kubernetes systems?
Work with a software development agency
DEV.co helps companies turn open-source tools like coroot into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source observability stack.
Ready to simplify observability?
Evaluate Coroot for your Kubernetes environment. Check the live demo, review kernel compatibility, and assess integration with your telemetry stack.