What is Coroot used for?

Coroot is an open-source observability and APM tool that uses eBPF to collect metrics, logs, traces and profiles automatically, with SLO alerting and AI-assisted root cause analysis. It is a good fit for observability for Kubernetes microservices, finding the root cause of latency spikes and monitoring legacy services without code changes.

Is Coroot open source?

Yes. Coroot is open source under the Apache-2.0 licence. Its source code is on GitHub at coroot/coroot and is written mainly in Go.

Yes. Coroot is open source, so the software itself is free to use.

Can I self-host Coroot?

Yes. Coroot can be self-hosted on your own server or infrastructure.

What is Coroot an alternative to?

Coroot is an open-source alternative to Datadog, Dynatrace, New Relic and AppDynamics. Other open-source alternatives to Datadog include SigNoz, Uptrace and HyperDX.

Is Coroot actively maintained?

Yes. The most recent commit to Coroot was on 30 September 2026, and the latest release is v1.27.0, published on 29 September 2026. The project has 7.9k stars on GitHub.

Coroot: open-source alternative to Datadog, Dynatrace

About Coroot

Coroot is an open-source observability and application performance monitoring tool. Its pitch is that collecting metrics, logs and traces is not enough on its own, so it turns the data into actionable insights, including AI-powered root cause analysis, predefined inspections and a service map.

It gathers metrics, logs, traces and continuous profiles automatically with eBPF, so legacy and third-party services can be observed without code changes, and it is also vendor-neutral through OpenTelemetry instrumentation. Features include a service map, application health summaries, SLO tracking and alerting, distributed tracing, log pattern clustering with logs-to-traces correlation using ClickHouse, and one-click profiling that drills down to the line of code. Predefined inspections audit each application without configuration.

Coroot is written in Go and licensed under Apache-2.0, with a live demo, documentation and a separate Coroot Enterprise edition. Topics include database monitoring, microservices and Prometheus. It suits SRE and platform teams that want observability for Kubernetes and Linux workloads without manually instrumenting every service.

Key features

eBPF-based zero-instrumentation data collection
Service map of the whole system
SLO tracking and alerting
Distributed tracing with OpenTelemetry
Continuous profiling to the code line
Log pattern clustering
AI-powered root cause analysis

Good fit for

→Observability for Kubernetes microservices
→Finding the root cause of latency spikes
→Monitoring legacy services without code changes

Built with: Go
Tags: observability; apm; ebpf; monitoring; opentelemetry; slo; profiling; tracing; golang

Coroot: questions and answers

What is Coroot used for?: Coroot is an open-source observability and APM tool that uses eBPF to collect metrics, logs, traces and profiles automatically, with SLO alerting and AI-assisted root cause analysis. It is a good fit for observability for Kubernetes microservices, finding the root cause of latency spikes and monitoring legacy services without code changes.
Is Coroot open source?: Yes. Coroot is open source under the Apache-2.0 licence. Its source code is on GitHub at coroot/coroot and is written mainly in Go.
Is Coroot free?: Yes. Coroot is open source, so the software itself is free to use.
Can I self-host Coroot?: Yes. Coroot can be self-hosted on your own server or infrastructure.
What is Coroot an alternative to?: Coroot is an open-source alternative to Datadog, Dynatrace, New Relic and AppDynamics. Other open-source alternatives to Datadog include SigNoz, Uptrace and HyperDX.
Is Coroot actively maintained?: Yes. The most recent commit to Coroot was on 30 September 2026, and the latest release is v1.27.0, published on 29 September 2026. The project has 7.9k stars on GitHub.