Use Python to Process 12 Million Events per Minute and Still Keep It Simple

Use Python to Process 12 Million Events per Minute and Still Keep It Simple

EuroPython Conference via YouTube Direct link

Loss

19 of 21

19 of 21

Loss

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Use Python to Process 12 Million Events per Minute and Still Keep It Simple

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  1. 1 Introduction
  2. 2 What is an advanced
  3. 3 The problem
  4. 4 What is 10k
  5. 5 Data consistency
  6. 6 The idea
  7. 7 Data flow diagram
  8. 8 Parser
  9. 9 Admin
  10. 10 Stability
  11. 11 Offsets
  12. 12 Multiprocessing
  13. 13 catastrophic crash
  14. 14 performance
  15. 15 experience
  16. 16 Fsync
  17. 17 Observer
  18. 18 Maintenance
  19. 19 Loss
  20. 20 Throttle
  21. 21 Questions

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