Observability and the Future of Complex Systems

Observability and the Future of Complex Systems

ChariotSolutions via YouTube Direct link

Takeaways

27 of 30

27 of 30

Takeaways

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Classroom Contents

Observability and the Future of Complex Systems

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  1. 1 Intro
  2. 2 And the problem space is complex.
  3. 3 Write workload, trailing year
  4. 4 Read workload, trailing year
  5. 5 Service Level Objectives (SLO)
  6. 6 Data storage engine and analytics flow
  7. 7 SLOs are user flows
  8. 8 Service-Level Objectives
  9. 9 Functional and visual testing.
  10. 10 Design for feature flag deployment.
  11. 11 Automated integration & human review.
  12. 12 Green button merge.
  13. 13 Auto-updates, rollbacks, & pins.
  14. 14 Observe behavior in prod.
  15. 15 Non-trivial savings.
  16. 16 Three case studies of failure
  17. 17 1 Shepherd: ingest API service
  18. 18 Honeycomb Ingest Outage
  19. 19 Now what?
  20. 20 Kafka: data bus
  21. 21 Our month of Kafka pain
  22. 22 Unexpected constraints
  23. 23 Take care of your people
  24. 24 Optimize for safety
  25. 25 Retriever: query service
  26. 26 Making progress carefully
  27. 27 Takeaways
  28. 28 Acknowledge hidden risks
  29. 29 Make experimentation routine!
  30. 30 Understand & control production.

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