IBM’s Principles of Chaos Engineering
summary
IBM codifies chaos engineering into principles and a 10-step methodology that aims to give evidence and confidence to meet SLOs and SLAs for 40,000 mission-critical workloads. The claim is production-focused: start in dev but strive for production, contain impact with kill switches and fallbacks, measure with observability and traces, then measure, learn, improve. Practices include failure-oriented testing via scripted injections, testing across the transaction critical path, increasing complexity gradually, and socializing changes to win regulated clients.
AI-written summary · about
chapters (6)
- 0:00Introduction and challenges
- 7:55Principles of chaos engineering
- 8:13Methodological approach
- 14:40Chaos engineering framework
- 14:57Executing the methodology
- 20:14Conclusion








