Krkn vs PowerfulSeal

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+.

PowerfulSeal is a free, Apache-2.0 tool that injects failures into Kubernetes clusters to expose problems early. Users describe complete chaos experiments in YAML policies and choose autonomous, interactive, or label operation. It supports Kubernetes, OpenStack, AWS, Azure, GCP, and local machines. Autonomous mode can collect metrics through stdout, Prometheus, or Datadog, while its web interface can show logs and the policy. Policies can schedule one run for a CI pipeline or continuous execution. Label mode controls which pods may be killed, on which days and times, and with what probability. Local installation uses pip and requires Python 3.7 or newer; Docker images are published for each release. PowerfulSeal can run inside Kubernetes and load scenarios from Custom Resources. Cloud configurations cover Azure, AWS, OpenStack, and GCP. It needs SSH, cloud, and Kubernetes API access, but no external database or Spinnaker.