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chaos-mesh/chaos-mesh

A Chaos Engineering Platform for Kubernetes. observed · 2026-08-28

github.com/chaos-mesh/chaos-mesh · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 86
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 72
  • age_days: 2556
  • days_rel: 15
  • days_push: 7
  • n_releases_24m: 12

Full methodology

Adoption not part of the score

7858 stars · 1029 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Chaos Mesh is an open-source, cloud-native chaos engineering platform for Kubernetes that injects controlled faults (pod, network, DNS, HTTP, I/O, time, stress, kernel, JVM, and cloud provider faults) via Kubernetes custom resources. It includes a web dashboard, a workflow engine for serial/parallel experiment orchestration, and multi-cluster experiment dispatch.

Use cases

  • inject pod failures and network latency into kubernetes workloads to test resilience
  • run chaos experiments in production to find reliability weaknesses
  • orchestrate serial and parallel fault injection workflows with health checks
  • simulate disk io, dns, and http faults in a kubernetes cluster
  • validate microservices fault tolerance before major releases
  • manage chaos experiments across multiple kubernetes clusters from one dashboard

When to choose

  • you run workloads on Kubernetes and want Kubernetes-native chaos experiments via CRDs and RBAC
  • you need broad fault coverage including network, io, kernel, JVM, and cloud provider faults
  • you want a web dashboard and workflow engine for scheduling and orchestrating experiments
  • you need a mature CNCF incubating project with production usage at large companies

When to avoid

  • your systems run outside Kubernetes or on bare physical machines only
  • you need simple load or performance testing rather than fault injection
  • you cannot grant cluster-level permissions or run privileged daemons in your cluster

Facets

application · maturity active

testing monitoring workflow-automation container-orchestration deployment cloud-computing testing microservices cloud self-hosted go chaos-engineering fault-injection kubernetes-operator cncf site-reliability-engineering resilience-testing web-dashboard devops containers kubernetes docker

10 sources

Member repositories

RepositoryRoleHealth v2
chaos-mesh/chaos-meshmain95

For agents

markdown · JSON · MCP: product_card(name="chaos-mesh/chaos-mesh")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem