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Coroot

Coroot is an open-source observability and APM tool with AI-powered root cause analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards.

★ 7,837 GitHub Apache-2.0 observabilitymonitoringapmebpftracingprofilingkubernetesprometheusclickhousedocker Automation Tools

Overview

Coroot is an open-source observability and application performance monitoring (APM) platform that turns collected data into actionable insights. It uses eBPF for zero-instrumentation observability, automatically gathering metrics, logs, traces, and profiles without any code changes. Coroot provides a Service Map covering 100% of your system, predefined inspections that audit each application without configuration, and AI-powered root cause analysis that identifies over 80% of issues automatically. Features include distributed tracing with OpenTelemetry, log pattern clustering with ClickHouse, continuous profiling, deployment tracking that monitors every application rollout in Kubernetes, cloud cost monitoring across AWS, GCP, and Azure, and SLO-based alerting. The platform is deployable via Docker, Docker Swarm, Kubernetes, or bare metal, and supports integration with Prometheus and ClickHouse.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  coroot:
    image: ghcr.io/coroot/coroot
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/coroot:/data

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