Disciplined experiments that inject controlled failure into production-like systems to validate resilience before real incidents.
Chaos engineering (fault injection drills) complements monitoring and distributed tracing: you prove that retries, timeouts, and backoff behave as designed. Interpreting drill results with LLM observability is increasingly common but still requires human judgment on blast radius.
With AI-assisted debugging
Treat AI summaries of chaos results as hypotheses—verify against traces and metrics.