Coroot is an open-source observability platform for teams running applications on Docker or Kubernetes. An eBPF-based agent collects metrics, logs, traces, and profiles without code changes, assembles a map of every service, and inspects each one automatically, and an AI assistant proposes likely root causes when something degrades.[1]
Quick verdict
Teams running containerized services who want Datadog-style visibility without instrumenting code benefit most from Coroot: its eBPF agent builds a service map and runs predefined inspections automatically. The decisive capability is AI-assisted root-cause analysis that correlates metrics, logs, traces, and profiles into a likely cause. The material constraint is scale and governance: the free Community Edition is single-node, while multi-node high availability, SSO, audit logs, and long-term retention need paid Enterprise. If you need managed simplicity instead of self-hosting, choose Datadog; if you have operator capacity and want telemetry data on your own infrastructure, Coroot fits.[1][2][3]
Key features
Zero-instrumentation eBPF telemetry A single eBPF-based agent collects metrics, logs, traces, and continuous profiles from every application with no code changes or manual instrumentation.[1][2]
Automatic service map and discovery Coroot discovers every application in the deployment and assembles them into a service map, so teams see how services connect without manual topology work.[1]
Predefined inspections with no configuration Predefined inspections run against each service with no configuration, surfacing availability, latency, and error issues per service out of the box.[1]
AI-assisted root-cause analysis When something degrades, the AI assistant correlates metrics, logs, traces, and profiles into a likely root cause, using API keys you supply for OpenAI, Claude, Cohere, Mistral, Gemini, or a local Ollama model.[1][2]
SLO-based alerting Teams define service-level objectives and get alerted on burn, keeping attention on user-facing reliability rather than raw chart thresholds.[1]
Distributed tracing for outlier requests Distributed tracing captures outlier requests across services, so slow or failing calls can be followed end to end instead of guessed from aggregates.[1]
Continuous profiling and log monitoring Continuous profiling and log monitoring ship alongside metrics and traces, keeping code-level hotspots and log context in the same investigation surface.[1]
Predefined dashboards with cost and Prometheus support Predefined dashboards cover day-to-day operations with cost monitoring included, and the agent exposes metrics in Prometheus format with long-term storage available in Enterprise.[1][2]
Who will love it
Small platform teams that want Datadog-style visibility from a self-hosted, Apache-licensed stack instead of a proprietary SaaS agent.[1][2]
Kubernetes and Docker teams that cannot or will not instrument code: the eBPF agent observes applications as deployed.[1][2]
Cost-sensitive teams that want telemetry data stored on their own infrastructure, starting from the free Community Edition.[1][2]
Who should avoid it
Teams needing multi-node scale now: the free Community Edition is single-node, and clustering with high availability requires paid Enterprise.[1]
Organizations requiring SSO, audit logs, long-term retention, or advanced dashboards and root-cause packs: these are Enterprise-only capabilities.[1]
Teams without operator capacity: self-hosting assumes Docker or Kubernetes fluency, and the AI root-cause analysis needs LLM API keys you supply or a local model you run.[1][2]
Alternatives and compatibility
Datadog is the published incumbent alternative for teams that prefer managed SaaS observability over operating their own stack.[1][2]
New Relic covers the same APM workflow for teams that want a hosted product rather than self-hosted infrastructure.[1]
Prometheus-compatible patterns ease adoption for teams already on Prometheus tooling, with long-term metric storage available through the Enterprise Edition.[1][2]
Questions worth asking
What is the best Coroot alternative for non-technical users?
Is Coroot really no-code?
How much does Coroot cost per month?
Sources and editorial review
Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Coroot GitHub repository (official)
official · Observed October 9, 2026
Official Coroot GitHub repository: eBPF zero-instrumentation positioning, metrics/logs/traces/profiles collection, automatic service discovery and map, distributed tracing, continuous profiling, log monitoring, SLO-based alerting, inspections, predefined dashboards, cost monitoring, Apache-2.0 licence.
- Coroot architecture docs (official)
official · Observed October 9, 2026
Official architecture documentation: eBPF agent and server roles, telemetry pipeline, Prometheus-format metric exposition, inspection engine.
- Coroot editions docs (official)
official · Observed October 9, 2026
Official editions documentation: Community Edition single-node Docker self-hosting at no cost, Enterprise Edition multi-node clustering, high availability, SSO, audit logs, long-term retention, advanced dashboards and root-cause packs, support.
- Coroot enterprise edition page (official)
official · Observed October 9, 2026
Official enterprise page: Cloud Enterprise per-node monthly pricing and onboarding fee, supported LLM providers for AI root-cause analysis including local Ollama.