Netflix/chaosmonkey
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures. observed · 2026-08-28
Health v2 · maintenance only
26/100
- Activity 0
- Release rhythm 16
- 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: 95
- age_days: 3606
- days_rel: 604
- days_push: 604
- n_releases_24m: 2
Adoption not part of the score
17091 stars · 1297 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Chaos Monkey is a chaos engineering tool from Netflix that randomly terminates virtual machine instances and containers in production to test service resilience. It is written in Go and integrates with Spinnaker for instance termination across AWS, GCE, Azure, Kubernetes, and Cloud Foundry.
Use cases
- randomly terminate production instances to test resilience
- practice chaos engineering on cloud infrastructure
- verify services tolerate random instance failures
- run scheduled chaos experiments against Kubernetes clusters
- incentivize engineers to build fault-tolerant services
When to choose
- you already manage deployments with Spinnaker
- you want Netflix-style chaos engineering for cloud instances
- you run services on AWS, GCE, Azure, or Kubernetes and want automated failure injection
When to avoid
- you don't use Spinnaker for deployment management
- you need chaos experiments beyond instance termination
- you can't tolerate failures in a production environment
Facets
service · maturity maintenance
testing deployment cloud cloud-computing microservices infrastructure-as-code go cloud self-hosted chaos-engineering resilience fault-injection spinnaker netflix-oss devops docker kubernetes
1 source
- readme: https://github.com/Netflix/chaosmonkey · fetched 2026-08-28 · 48d33c836b81
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Netflix/chaosmonkey | main | 26 |
For agents
markdown · JSON · MCP: product_card(name="Netflix/chaosmonkey")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem