Krkn-AI vs KubeInvaders
Krkn-AI
github.comKubeInvaders
kubeinvaders.platformengineering.itSide by side
| Figure | Krkn-AI | KubeInvaders |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Chaos Engineering Platforms | 8.0 (#10) | 7.3 (#17) |
| Audience | The project is intended for testing the resilience of Kubernetes and OpenShift applications. | The project describes uses including Kubernetes teaching, resilience testing, and demonstrations at technology conferences. |
| Integrations | The documented setup uses Krkn scenarios, krknctl, Kubernetes or OpenShift, and Prometheus metrics. | The project describes monitoring an HTTP URL exposed by an Ingress during a chaos session. |
| License | The public repository is licensed under Apache-2.0. | The repository lists the project under the Apache 2.0 license. |
| Monitoring | An interactive dashboard can monitor Krkn-AI experiment results. | Its documentation lists URL monitoring during chaos sessions and Prometheus metrics with a Grafana dashboard. |
| Purpose | Krkn-AI automatically runs chaos scenarios and discovers experiments to evaluate system resilience. | KubeInvaders is a gamified chaos engineering and educational tool for Kubernetes that stresses a cluster so users can observe its resilience. |
| Security | The project documentation links to a security self-assessment; the repository page does not state a compliance certification. | The README says a missing, invalid, or expired token prevents KubeInvaders from calling the Kubernetes API, and warns that DISABLE_TLS=true skips API server certificate verification. |
Plans
In their own words
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.
KubeInvaders
KubeInvaders has no write-up on Specifiction yet; its figures are above.