Coroot
An observability platform combining service maps, metrics, logs, traces, profiling, and SLO-based application checks.
Why consider Coroot?
Coroot is an open-source, eBPF-powered observability and APM platform that automatically collects metrics, logs, traces, and continuous profiles with zero code changes, then applies AI-powered Root Cause Analysis to turn raw telemetry into actionable insights.
Learn Coroot by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide10 sections
Coroot: Zero-Instrumentation Observability with AI-Powered Root Cause Analysis
Coroot is an open-source observability and APM tool that combines eBPF-based automatic data collection with AI-driven root cause analysis. Rather than forcing you to instrument every service, Coroot gathers metrics, logs, traces, and continuous profiles automatically — then tells you what went wrong and how to fix it.
Licensed under Apache 2.0, it is trusted by SREs and DevOps teams at organisations including Walmart, Safaricom, Leidos, and Comcast, and has accumulated over 7,300 GitHub stars and 25 million+ downloads.
Key Features
Zero-Instrumentation Data Collection via eBPF
Coroot's agent uses eBPF to intercept system calls at the kernel level, capturing request traces, CPU/memory metrics, logs, and network flows without requiring any code changes, library injections, or application restarts. The README states:
"Metrics, logs, traces, and profiles are gathered automatically by using eBPF" "Coroot provides you with a Service Map that covers 100% of your system with no blind spots"
This means even legacy or third-party services that cannot be modified are fully observable. For eBPF to function correctly, nodes must run Linux kernel 5.1 or higher.
AI-Powered Root Cause Analysis
Once telemetry is collected, Coroot's AI engine correlates signals across the entire dependency graph to pinpoint root causes. The official website describes it as:
"With complete telemetry, AI works like an experienced engineer — tracing dependencies, finding the root cause, and suggesting fixes instantly."
Predefined inspection rules run continuously against each application without manual configuration, and the platform claims an 80% faster Mean Time To Resolution (MTTR) compared to traditional tooling.
Full-Stack Visibility in One Platform
Coroot handles the entire observability lifecycle — collection, storage, visualisation, and alerting — in a single tool. It monitors:
- Applications and microservices
- Databases (PostgreSQL has a dedicated solution page)
- Kubernetes workloads and bare-metal/VM infrastructure
- Network traffic flows and latency
- Cloud cost attribution down to the application level
SLO (Service Level Objective) tracking is built in, consolidating alerts into context-rich notifications so on-call engineers are never flooded with noise.
OpenTelemetry Compatible Distributed Tracing
For teams that already instrument services, Coroot integrates with OpenTelemetry for distributed tracing. For those that cannot modify code, the eBPF layer captures request spans automatically — giving you outlier request investigation with a single click.
Technology Stack
Coroot is built in Go with a Vue 3 frontend. It uses ClickHouse as the backend storage engine, chosen for its high-performance columnar queries over large volumes of time-series telemetry.
Installing Coroot on Kubernetes with Helm
The recommended installation method for Kubernetes is via the Coroot Operator Helm chart:
# Step 1: Add the Coroot Helm repositoryhelm repo add coroot https://coroot.github.io/helm-chartshelm repo update coroot# Step 2: Install the Coroot Operatorhelm install -n coroot --create-namespace coroot-operator coroot/coroot-operator# Step 3: Apply a Coroot Custom Resource to deploy the platformkubectl apply -f - <<EOFapiVersion: coroot.com/v1alpha1kind: Corootmetadata: name: coroot namespace: corootspec: {}EOF# Step 4: Access the UIkubectl port-forward -n coroot service/coroot 8080:8080Once port-forwarding is active, open http://localhost:8080 in your browser. Within minutes, the eBPF-based agent automatically discovers all running workloads and begins populating the service map — no application restarts required.
Community and Support
Coroot maintains an active Slack community and a live demo at demo.coroot.com where you can explore a pre-populated environment without any setup. An Enterprise Edition is available for teams needing SSO, role-based access control, and advanced SLO management.
Why Coroot Instead of Datadog or New Relic?
Coroot is self-hosted, meaning your telemetry data never leaves your infrastructure. One community member summarised it well:
"It's perfect for cost-conscious teams looking to ditch expensive cloud tools like DataDog or New Relic. Plus, being fully self-hosted means your data stays under your control."
Because all data collection is automatic and the tool ships with predefined dashboards and inspection rules, teams typically go from zero to full-stack observability in under 30 minutes.
Resources
- GitHub Repository: https://github.com/coroot/coroot
- Documentation: https://docs.coroot.com/
- Live Demo: https://demo.coroot.com/
- Official Website: https://coroot.com
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