chaos-engineering

To run chaos experiments safely, define a steady-state hypothesis, configure blast-radius limits, and use runbooks for repeatable tests. Start with small scenarios like a pod-delete experiment in a staging cluster before scaling chaos across environments.

Yes, chaos testing integrates directly into CI/CD workflows. This integration automates resilience validation during deployment pipelines, using structured templates and tool hooks to ensure experiments are repeatable and safely bounded across staging and production environments.

LitmusChaos supports game-day planning by providing structured runbooks and blast-radius guidance. This allows teams to safely simulate failures, validate incident response procedures, and test the resilience of distributed services during coordinated chaos experiments.

Running chaos experiments in production carries risks if blast-radius boundaries are not strictly defined. Limitations include potential service disruption; therefore, experiments require careful steady-state validation, preset abort conditions, and structured runbooks to ensure safe, controlled failure injection.