PowerfulSeal injects failures into Kubernetes clusters so users can identify problems early. Users describe chaos experiments in YAML policy files and choose among autonomous, interactive, and label modes. It works with Kubernetes, OpenStack, AWS, Azure, GCP, and local machines. Autonomous mode supports metrics through stdout, Prometheus, or Datadog, and its web interface can display logs and the policy. Policies can be set for a single run, such as in a CI pipeline, or for continuous execution by default. Label mode can restrict which pods may be killed and specify allowed days, times, and probability. PowerfulSeal can run inside Kubernetes and load scenarios from Kubernetes Custom Resources. Local installation is available through pip and requires Python 3.7 or newer; a Docker image is published for each release. Cloud use requires credential configuration, and the tool needs SSH, cloud, and Kubernetes API access. When corresponding environment variables are provided, it excludes its own pod name and host IP from kill operations. It is Apache-2.0 licensed and does not require external databases or Spinnaker.
Who it is for
PowerfulSeal suits teams using Kubernetes or supported cloud environments who want to define and run failure-injection experiments. Its modes include controls for limiting which pods may be targeted and when.
What is good
- Defines experiments in YAML policy files
- Works with Kubernetes, cloud platforms, and local machines
- Autonomous metrics support stdout, Prometheus, and Datadog
- Label mode can limit targets, times, and probability
What to know first
- Local pip installation requires Python 3.7 or newer
- Cloud use requires credential configuration
- Needs SSH, cloud, and Kubernetes API access
Verdict
PowerfulSeal provides several ways to run and constrain failure-injection scenarios, including Kubernetes deployment and local installation. Users should account for its Python requirement and access needs for SSH, cloud, or Kubernetes APIs.
PowerfulSeal plans and pricing
All plansCompared on chaos engineering platforms
- Free plan
- Yes
- Kubernetes support
- Yes
- Cloud fault injection
- Yes
- Network fault injection
- Yes
- Experiment scheduling
- Yes
- Deployment model
- self_hosted
- Blast-radius controls
- Yes
