# coroot/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 and inspections.

Repository: https://github.com/coroot/coroot
Canonical: https://ross.abutalabs.com/products/coroot
Homepage: https://coroot.com
Language: Go
License: Apache-2.0
License Family: permissive
Topics: dashboard, database-monitoring, metrics, monitoring, observability, prometheus, service-map, microservice, ebpf, alerting, slo, apm, distributed-tracing, tracing, ai, sre
Last push: 2026-08-18T17:22:01+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 86, longevity 100
- inputs: {"age_days": 1472, "days_push": 15, "days_rel": 16, "gap_med": 4, "n_releases_24m": 124}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7891, forks 394 (observed 2026-08-28T04:10:08.603180+00:00)

## What it is
Coroot is an open-source, self-hosted observability and APM platform that uses eBPF to collect metrics, logs, traces, and continuous profiles with zero code instrumentation. It combines a full service map, SLO-based alerting, predefined inspections, and AI-powered root cause analysis to turn telemetry into actionable insights.

## Use cases
- monitor microservices without code changes
- find root cause of production incidents automatically
- track SLOs and get alerts on service health
- build a service map of my entire system
- correlate logs with distributed traces
- profile CPU and memory spikes down to code lines
- replace expensive APM tools like Datadog or New Relic
- monitor Kubernetes clusters and databases

## When to choose
- you want full-stack observability with zero instrumentation using eBPF
- you need an all-in-one self-hosted alternative to Datadog or New Relic
- you run Kubernetes or containerized microservices and want automatic service maps and inspections
- you want AI-assisted root cause analysis backed by complete telemetry

## When to avoid
- you only need a lightweight metrics scraper rather than a full observability platform
- you cannot run privileged eBPF agents on your hosts
- you require a fully managed SaaS without self-hosting
- you need deep customization beyond predefined dashboards and inspections

## Facets
- artifact type: application
- maturity: active
- function: monitoring, alerting, tracing, logging, analytics
- domain: monitoring, microservices, self-hosted
- platform: self-hosted, go
- tags: apm, ebpf, slo, service-map, distributed-tracing, continuous-profiling, root-cause-analysis, prometheus, clickhouse, opentelemetry, devops, linux, docker, kubernetes

## Member repositories
- coroot/coroot (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:08.603180+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:29.789221+00:00, confidence not recorded.
  - readme: https://github.com/coroot/coroot (fetched 2026-08-28T04:10:08.603180+00:00, sha 81554886b7bf)
  - homepage: https://coroot.com (fetched 2026-08-29T08:30:13.659016+00:00, sha bf4bfbe445f2)
  - site_page: https://docs.coroot.com/ (fetched 2026-08-29T08:30:13.669625+00:00, sha 5c539fa7821d)
  - site_page: https://coroot.com/blog/getting-started-with-coroot-concepts-and-terminology (fetched 2026-08-29T08:30:13.671410+00:00, sha b80f819841dc)
  - site_page: https://coroot.com/about (fetched 2026-08-29T08:30:13.676349+00:00, sha bc5a774b52fe)
  - site_page: https://coroot.com/pricing (fetched 2026-08-29T08:30:13.668019+00:00, sha c02dd88c0db0)
  - site_page: https://coroot.com/ai (fetched 2026-08-29T08:30:13.673263+00:00, sha 55a01e540929)
  - site_page: https://coroot.com/overview (fetched 2026-08-29T08:30:13.674834+00:00, sha 84942e6ff30c)
- Data as of 2026-08-30T08:39:29.467469+00:00.