Krkn
6.7#4 in chaos engineering platformsFree planFree planWebAPILinuxSelf-hosted
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| Fact | Krkn | Reliably |
|---|---|---|
| Integrations | The documentation describes integrations with Prometheus, Elasticsearch, Grafana, Slack, S3, and CI/CD systems such as Jenkins and GitHub Actions. | Documented integrations include Slack, Honeycomb, Dynatrace, Google Cloud, Grafana, OpenAI ChatGPT, pre-checks, safeguards, and auto-pause. |
| Notable limits | krkn-hub runs one scenario type per execution; running multiple scenario types in one execution requires the standalone Krkn installation. | Free includes one team member, 180 cloud execution minutes per month, a 10-minute cloud execution cap, and two weeks of data retention. |
| Purpose | Krkn injects deliberate failures into Kubernetes clusters to test their resilience. | Reliably helps teams build resilience engineering capability and deliver more reliable products by exploring operational risks and incidents. |
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.
Reliably suits teams that want to explore operational risks through scheduled chaos engineering experiments. Its free plan may fit an individual evaluating the workflow, while teams needing more members, cloud minutes, or data retention have limits to consider.