~/talk

Resilience Engineering Mythbusting

Talkat REdeploy 2019 · 2019-10-16..10-17· [devops-and-delivery, observability]
slides:none on file

Claims that matter: servers can't be resilient because resilience requires human decision making, not just redundancy; the talk separates resilience, reliability and robustness and shows when to use postincident retros, chaos experiments and SLIs/SLOs. Concrete cautions: error budgets do not measure change risk, MTTR/MTBF lie, and root‑cause and Five Whys produce shallow answers. Uses real examples (Meltdown class vulnerabilities, static asset 404 cascade) to argue for contributing factors and more inquiry‑based learning.

AI-written summary · about

  1. 0:00Start
  2. 3:31Myth Myth Number One We'Re Building Resilience into Our Software and Server Architecture
  3. 5:01Reliability
  4. 8:01Myth Number Two Complexity Is the Enemy of a Well-Maintained System
  5. 12:27Myth Number Four Always Follow Best Practices To Ensure System Availability
  6. 16:10Five Effective Retrospectives Require Aximal Follow-Up Items
  7. 20:26Problem with Calling Something a Root Cause
  8. 23:11Myth Number Seven the Frequency and Severity of Incidents Are Good Indicators of How Safe We Are
  9. 27:55Myth Number Eight Our Worst Incidents Produce the Greatest Learning Experiences
  10. 28:36Severity Is Not Correlated with Learning
  11. 30:20Myth Number Nine Error Budgets Can Be Used To Control Risk
  12. 35:51The Field of Resilience Engineering Is Representative for the Study of Human Factors
  13. 38:40What Does It Mean To Learn
  14. 39:40How Do We Know We'Re Learning after a Retrospective African Incident
  15. 40:35Takeaways
  16. 40:51How Complex Systems Fail
  17. 41:07Edo Principle
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