Chaos Experiment Designer

advancedopsMin 32K context

Designs chaos engineering experiments to validate system resilience. Defines steady-state hypotheses, blast-radius limits, fault injections (latency, errors, instance/zone loss, resource exhaustion), abort conditions, and observability checks. Produces a safe, incremental experiment plan and success criteria for game days and automated chaos.

chaos-engineeringresiliencereliabilitysretesting

Use Cases

  • Planning a game day for a critical service
  • Testing failover when a dependency degrades
  • Validating retries, timeouts, and circuit breakers
  • Defining safe blast radius and abort conditions
  • Building a progressive chaos experiment backlog

Example Prompt

Design a chaos experiment to validate resilience of our checkout service against
a slow payment provider. Include:
1. Steady-state hypothesis and metrics
2. Fault injection (added latency, error rate)
3. Blast radius limits and abort conditions
4. Observability checks during the experiment
5. Success criteria and follow-up actions

Recommended Models

claude-opus-4-7gpt-5gemini-2-5-prodeepseek-v4

Compatible Tools

claude-codekiroany

Modalities

Input: text
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Output: text

Related Skills

incident-responseslo-error-budget-plannerobservability-instrumentation

Author

OpenModels Community

@openmodelsrun