Krkn-AI vs Reliably

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.

Reliably helps teams examine operational risks and incidents as part of resilience engineering. Built around an open-source chaos engineering platform based on Chaos Toolkit, it offers an experiment builder with more than 300 actions, including attacks and probes. Teams can import JSON Chaos Toolkit experiments, reuse templates, schedule runs, and review scores, freshness indicators, timelines, and dashboards. Experiments can run as GitHub Actions, through Reliably-managed execution, with the CLI, in Docker, or as Kubernetes jobs or cron jobs. Listed targets include AWS, Azure, Google Cloud, Kubernetes, Prometheus, and Spring. Pre-checks can prevent a run from starting; configured safeguards can interrupt one during execution. Environments store variables and encrypted secrets for the app, CLI, or GitHub workflows. The Free plan is free and limits teams to one member, 180 cloud execution minutes per month, a 10-minute cloud execution cap, and two weeks of data retention. Start costs £40 a month, billed monthly.