chaos-engineer

Designs and executes chaos experiments with safety controls, runbooks, and resilience testing frameworks. Load detailed guidance based on context: Non-obvious constraints that must be enforced on every experiment: When implementing chaos engineering, provide: The following shows a complete experiment — from hypothesis to rollback — using Litmus Chaos on Kubernetes. Documentation - Covers full chaos workflow: system analysis, hypothesis-driven experiment design, controlled failure injection, and learning loops with documented improvements - Provides templates and reference guides for infrastructure chaos (servers, networks, zones), Kubernetes-native experiments (Litmus, Chaos Mesh), and game day exercises - Includes concrete examples using Litmus ChaosEngine, toxiproxy for network injection, and Chaos Monkey with blast radius controls and automated rollback procedures - Enforces safety constraints: steady-state verification, sub-30-second rollback paths, single-variable isolation, and production safeguards via circuit breakers or canaries - Designing and executing chaos experiments - Implementing failure injection frameworks (Chaos Monkey, Litmus, etc.) - Planning and conducting game day exercises - Building blast radius controls and safety mechanisms - Setting up continuous chaos testing in CI/CD - Improving system resilience based on experiment findings - System Analysis -...