~/talk

Python at Massive Scale

Talkat PyData London 2018 · 2018-04-26..04-29· [python, devops-and-delivery]
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Athena runs a mono repo of 35m LOC/150k modules served from a custom Hydra object DB with import hooks and continuous deployment, supporting about 1,600 active committers and 60k commits/month. A 5 GB binary Python distro (rolled weekly as prod/prod_new/prod_old) and staging stacks produce fast rollouts and rollbacks; the platform powers thousands of developers and trading systems reliably. Perspective visualization is open sourced (browser-side aggregation via WebAssembly). Migration off Python 2.7 is urgent because of pickled objects and many replicas.

AI-written summary · about

  1. 0:00Introduction
  2. 1:10JP Morgan’s Python scale
  3. 2:35Athena trading platform
  4. 3:41Athena’s early development
  5. 5:49Python stack choices
  6. 7:56Mono repo lifecycle
  7. 8:59Athena’s growth
  8. 10:48Data science expansion
  9. 11:56Managing massive codebase
  10. 13:21Developer productivity
  11. 18:48Python code deployment
  12. 19:32Python version management
  13. 22:48Hydra database deployment
  14. 25:16Database unions testing
  15. 28:52Tooling and culture
  16. 31:23Athena Research
  17. 33:08Athena platform summary
  18. 33:51Perspective visualization engine
  19. 36:01Q&A
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