# powerfulseal/powerfulseal

A powerful testing tool for Kubernetes clusters.

Repository: https://github.com/powerfulseal/powerfulseal
Canonical: https://ross.abutalabs.com/products/powerfulseal
Language: Python
License: Apache-2.0
License Family: permissive
Topics: kubernetes, testing, openstack, chaos-engineering, hacktoberfest
Last push: 2023-11-10T18:28:39+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3193, "days_push": 1027, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1980, forks 164 (observed 2026-08-28T04:06:01.722945+00:00)

## What it is
PowerfulSeal is a chaos engineering tool that injects failures into Kubernetes clusters to expose weaknesses before they cause outages. It executes YAML-defined chaos experiment policies that kill pods or nodes and verify service resiliency through HTTP probes, with metrics exported to Prometheus and Datadog.

## Use cases
- inject failures into a kubernetes cluster to test resilience
- run chaos engineering experiments against k8s pods and nodes
- kill random pods and verify my service keeps responding
- write chaos experiment scenarios as yaml policies
- simulate vm failures on openstack, aws, azure, or gcp
- check how my kubernetes app handles node or pod crashes
- collect metrics during fault injection with prometheus or datadog

## When to choose
- you run workloads on Kubernetes and want to validate resiliency by injecting real failures
- you want declarative, probabilistic chaos policies (kill pods, sample targets, probe HTTP endpoints) rather than ad-hoc commands
- your infrastructure spans Kubernetes plus OpenStack, AWS, Azure, or GCP and you want one tool to break things across those layers
- you need chaos experiment runs to feed Prometheus or Datadog metrics

## When to avoid
- your stack is not Kubernetes or cloud-VM based (e.g., plain docker-compose or bare-metal apps outside its drivers)
- you need a tool with frequent recent development or cutting-edge chaos features, since releases have slowed
- you only want simple kubectl-based fault injection without policy orchestration and probing
- you require a strictly read-only monitoring solution - this tool intentionally disrupts running systems

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: testing, monitoring
- domain: testing, cloud-computing
- platform: python, cli, cloud
- tags: chaos-engineering, fault-injection, kubernetes, resilience-testing, sre, openstack, yaml-policies, prometheus-metrics, devops, containers, linux, docker

## Member repositories
- powerfulseal/powerfulseal (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:01.722945+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:04:39.943391+00:00, confidence not recorded.
  - readme: https://github.com/powerfulseal/powerfulseal (fetched 2026-08-28T04:06:01.722945+00:00, sha 74d98fe06d40)
- Data as of 2026-08-30T08:39:29.467469+00:00.