Observability for Modern Event-Driven Applications

Observability for Modern Event-Driven Applications

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preamble

2 of 35

2 of 35

preamble

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Observability for Modern Event-Driven Applications

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  1. 1 intro
  2. 2 preamble
  3. 3 bank xxx - newsletter
  4. 4 event-driven architectures eda
  5. 5 what is an event
  6. 6 why customers are moving to event-driven applications
  7. 7 but... eda is hard to get it right!
  8. 8 what is observability?
  9. 9 eda: based on domain driven design ddd and events
  10. 10 eda: based on ddd and events
  11. 11 observability matters because
  12. 12 traditional monitoring layers
  13. 13 when you do eda on aws...
  14. 14 aws observability maturity model
  15. 15 three pillars of observability
  16. 16 amazon cloudwatch - inbuilt metrics
  17. 17 cloudwatch built-in metrics
  18. 18 metrics - namespaces and dimensions
  19. 19 built-in metrics often not enough
  20. 20 lambda insights
  21. 21 structured and cetralized logging
  22. 22 standard structured logging
  23. 23 query cloudwatch logs insights
  24. 24 ai-powered natural language query generation
  25. 25 use cloudwatch anomaly detection alarms
  26. 26 challenges with logs analysis
  27. 27 pattern analysis in logs insights
  28. 28 aws x-ray
  29. 29 enable x-ray tracing
  30. 30 aws lambda powertools
  31. 31 bringing it all together
  32. 32 cloudwatch servicelens
  33. 33 best practices for observing event driven applications
  34. 34 summary - use observability to get eda right
  35. 35 further reading, thank you!

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