Krkn vs Reliably
Krkn
krkn-chaos.dev
Reliably
reliably.comSide by side
| Figure | Krkn | Reliably |
|---|---|---|
| Price from | Free | £40/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Chaos Engineering Platforms | 8.5 (#5) | 8.1 (#9) |
| 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. |
Plans
In their own words
Krkn
Krkn injects deliberate failures into Kubernetes clusters so teams can examine resilience under disruption. Its 20-plus scenarios cover pods, containers, nodes, networks, applications, resources, storage and time. The recommended krknctl command-line tool discovers, runs and coordinates scenarios; other choices include pre-built containers, a browser dashboard and a standalone Python program. Krkn evaluates Prometheus metrics against SLO pass/fail criteria and can review metrics during and after scenarios. Dashboard integrations include Elasticsearch and Grafana, and telemetry can be sent to S3 or Elasticsearch. Cerberus monitors Kubernetes and OpenShift health, providing a go/no-go signal, reports and a metrics API; it can also report failures in Slack. Krkn-AI uses evolutionary algorithms against user-defined objectives to identify experiments. Krkn says it saves recovery state and can restore a cluster, but some disruptive scenarios may leave the target unrecoverable. It is intended for resilience measurement, not security provision, and does not currently adhere to compliance standards. Requirements include Kubernetes or OpenShift 1.21+, cluster-admin kubeconfig access, and Docker 20.10+ or Podman 4.0+.
Reliably
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.