How to perform chaos engineering in the cloud

· Category: Cloud Computing

Short answer

Chaos engineering proactively introduces failures to validate that systems recover gracefully.

Steps

  1. Define steady-state behavior and hypotheses.
  2. Run experiments in non-production first.
  3. Inject failures (terminate instances, add latency, deny DNS).
  4. Measure impact against expectations.
  5. Fix weaknesses and automate safe experiments in production.

Tips

  • Start small: terminate a single instance in an auto-scaling group.
  • Use tools like Gremlin, Litmus, or AWS FIS.
  • Always have a rollback plan and stop conditions.

Common issues

  • Running experiments without proper monitoring obscures results.
  • Organizational resistance: frame chaos engineering as resilience validation.