Empowering AWS DevOps with Python and Machine Learning

Empowering AWS DevOps with Python and Machine Learning

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intro

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1 of 27

intro

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Empowering AWS DevOps with Python and Machine Learning

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  1. 1 intro
  2. 2 preamble
  3. 3 intro
  4. 4 agenda
  5. 5 scaling is hard
  6. 6 problem
  7. 7 context
  8. 8 approach
  9. 9 load test one host
  10. 10 retrieve data from aws to pandas
  11. 11 analyse one host performance
  12. 12 we can do better
  13. 13 another thing - latency
  14. 14 approaches
  15. 15 create a scaling simulator
  16. 16 create a traffic shape generator
  17. 17 and run a first local experiment
  18. 18 what does it mean?
  19. 19 first attempt
  20. 20 find the best parameters
  21. 21 and the winner is
  22. 22 which actually looks better
  23. 23 testing new parameters in production
  24. 24 simulation versus real life
  25. 25 conclusion
  26. 26 code
  27. 27 about gustavo

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