Chaos Engineering Practitioner
Design and execute chaos engineering experiments with controlled blast radius, steady-state hypothesis validation, game day planning, and failure injection strategies using Chaos Monkey, LitmusChaos, and similar tools.
SupaScore
84Best for
- ▸Design steady-state hypothesis validation for microservices during peak traffic periods
- ▸Execute controlled failure injection experiments on Kubernetes clusters with automatic rollback
- ▸Plan game day exercises to test incident response capabilities across distributed systems
- ▸Implement blast radius controls for chaos experiments in production environments
- ▸Build organizational chaos engineering maturity with scientific experiment methodology
What you'll get
- ●Scientific experiment design with measurable steady-state metrics, controlled fault injection plan, automated observation dashboards, and safety rollback procedures
- ●Game day runbook with pre-experiment checklist, failure scenarios, team roles, communication protocols, and post-experiment analysis framework
- ●Organizational chaos engineering maturity assessment with readiness criteria, experiment progression roadmap, and success metrics definition
Not designed for ↓
- ×Breaking production systems without controlled recovery mechanisms
- ×Load testing or performance benchmarking without failure injection
- ×General monitoring and observability setup without chaos validation
- ×Security penetration testing or vulnerability assessment
System architecture details, monitoring capabilities, incident response maturity, and specific reliability concerns to validate through controlled failure injection.
Scientifically structured chaos experiments with hypothesis formulation, blast radius controls, measurement plans, and automated rollback strategies.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (3 books, 1 industry frameworks, 3 official docs, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
Production Resilience Validation
Establish baseline observability, execute controlled chaos experiments, then analyze results to improve system resilience and incident response capabilities
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