khaos-monkey vs Krkn-AI
khaos-monkey
github.comKrkn-AI
github.comSide by side
| Figure | khaos-monkey | Krkn-AI |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Chaos Engineering Platforms | 6.9 (#21) | 8.0 (#10) |
| Deployment | The README describes deploying it as a Kubernetes Deployment using the dagandersen/khaos-monkey:latest container image, or running it locally with Cargo and kubeconfig. | Krkn-AI can be installed as a Python CLI or run from a pre-built container image, including on Kubernetes. |
| Purpose | khaos-monkey randomly terminates Kubernetes pods according to configured rules and modes. | Krkn-AI automatically runs chaos scenarios and discovers experiments to evaluate system resilience. |
| Support | The opened project page provides its README and issue tracker; it does not state a support plan or response commitment. | The project documentation links to a community Slack, GitHub issues, and contribution guidelines. |
Plans
In their own words
khaos-monkey
khaos-monkey has no write-up on Specifiction yet; its figures are above.
Krkn-AI
Krkn-AI is a free, open-source tool for automatically running chaos scenarios and finding experiments to evaluate system resilience. It uses evolutionary algorithms to generate experiments from Krkn scenarios, guided by user-defined objectives such as SLOs and application health checks. Its discover command creates a YAML configuration populated with cluster component information and basic setup. Results show the impact of scenarios on application liveness and include fitness scores; Prometheus metrics can measure system response. An interactive dashboard can monitor experiment results. The project describes testing Kubernetes and OpenShift applications and requires a cluster kubeconfig. Krkn-AI can be installed as a Python CLI or run from a pre-built container image, including on Kubernetes. Listed requirements include Python 3.11 or later, krknctl, oc or kubectl, Podman, Helm 3.x, and a Kubernetes or OpenShift cluster kubeconfig. The repository lists the Apache-2.0 license. Its README describes the tool as under active development and advises users to use it at their own risk. The standard container run example uses host networking and privileged mode, while the guide also documents a FUSE-based option without the privileged flag.