Krkn
6.7#4 in chaos engineering platformsFree planFree planWebAPILinuxSelf-hosted
VisitKrkn vs Krkn-AI
What both publish
| Fact | Krkn | Krkn-AI |
|---|---|---|
| Integrations | The documentation describes integrations with Prometheus, Elasticsearch, Grafana, Slack, S3, and CI/CD systems such as Jenkins and GitHub Actions. | The documented setup uses Krkn scenarios, krknctl, Kubernetes or OpenShift, and Prometheus metrics. |
| Monitoring | Cerberus monitors Kubernetes and OpenShift health and exposes a go/no-go signal, reports, and a metrics API. | An interactive dashboard can monitor Krkn-AI experiment results. |
| Purpose | Krkn injects deliberate failures into Kubernetes clusters to test their resilience. | Krkn-AI automatically runs chaos scenarios and discovers experiments to evaluate system resilience. |
| Requirements | The getting-started guide lists Kubernetes or OpenShift 1.21+, cluster-admin kubeconfig access, and Docker 20.10+ or Podman 4.0+ as requirements. | The project lists Python 3.11+, krknctl, oc or kubectl, Podman, Helm 3.x, and a Kubernetes or OpenShift cluster kubeconfig as prerequisites. |
Krkn plans
- KrknFree
Krkn-AI plans
- Apache License 2.0Free
Pick Krkn if…
Krkn suits chaos engineers and teams building resilience testing workflows for Kubernetes or OpenShift. Users need cluster-admin kubeconfig access and Docker 20.10+ or Podman 4.0+; standalone Python use requires Python 3.9 and manual dependency management.
Pick Krkn-AI if…
Krkn-AI suits teams evaluating the resilience of Kubernetes or OpenShift applications. It requires a cluster kubeconfig and the listed command-line and container tooling.