Krkn-AI
6.3#9 in chaos engineering platformsFree planFree planLinuxSelf-hosted
VisitKrkn-AI vs Reliably
What both publish
| Fact | Krkn-AI | Reliably |
|---|---|---|
| Integrations | The documented setup uses Krkn scenarios, krknctl, Kubernetes or OpenShift, and Prometheus metrics. | Documented integrations include Slack, Honeycomb, Dynatrace, Google Cloud, Grafana, OpenAI ChatGPT, pre-checks, safeguards, and auto-pause. |
| Purpose | Krkn-AI automatically runs chaos scenarios and discovers experiments to evaluate system resilience. | Reliably helps teams build resilience engineering capability and deliver more reliable products by exploring operational risks and incidents. |
| Support | The project documentation links to a community Slack, GitHub issues, and contribution guidelines. | The pricing page lists email support on the paid plans, with Start, Scale, and Enterprise specifying weekday 9/5 CET support; Enterprise offers an optional support SLA. |
Krkn-AI plans
- Apache License 2.0Free
Reliably plans
- FreeFree
- Start£40 a month
- Scale£330 a month
- EnterprisePriced on request
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.
Pick Reliably if…
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.