asobti/kube-monkey
An implementation of Netflix's Chaos Monkey for Kubernetes clusters observed · 2026-08-28
Health v2 · maintenance only
86/100
- Activity 97
- Release rhythm 65
- 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: n/a
- age_days: 3556
- days_rel: 21
- days_push: 21
- n_releases_24m: 1
Adoption not part of the score
3071 stars · 254 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
kube-monkey is a Kubernetes implementation of Netflix's Chaos Monkey that randomly deletes pods in a cluster to encourage and validate failure-resilient services. It runs on a configurable schedule on weekdays, building a daily termination schedule for opt-in deployments identified by Kubernetes labels.
Use cases
- randomly kill pods in kubernetes to test service resilience
- run chaos engineering experiments on a k8s cluster
- validate that deployments survive pod terminations
- schedule daily chaos terminations for opt-in apps
- test high availability of microservices on kubernetes
When to choose
- you run services on Kubernetes and want Netflix Chaos Monkey-style fault injection
- you want opt-in, label-based chaos scheduling with blacklists and time windows
When to avoid
- your workloads are not on Kubernetes
- you need chaos testing outside a cluster or for non-containerized systems
Facets
application · maturity active
monitoring deployment container-orchestration cloud-computing microservices go self-hosted chaos-engineering chaos-monkey resilience-testing fault-injection kubernetes-pods devops containers kubernetes docker
1 source
- readme: https://github.com/asobti/kube-monkey · fetched 2026-08-28 · 17c03cc99191
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| asobti/kube-monkey | main | 86 |
For agents
markdown · JSON · MCP: product_card(name="asobti/kube-monkey")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem