Realtime Distributed Computing at Scale - Storm and Streamparse

Realtime Distributed Computing at Scale - Storm and Streamparse

EuroPython Conference via YouTube Direct link

Tuple Tree

11 of 22

11 of 22

Tuple Tree

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Realtime Distributed Computing at Scale - Storm and Streamparse

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  1. 1 Intro
  2. 2 Queues and workers
  3. 3 Distributed Implications
  4. 4 A Storm Is Coming
  5. 5 Elegant data dashboards
  6. 6 Python can't do this
  7. 7 Storm Abstractions
  8. 8 Storm Topology Example
  9. 9 Types of sources for a spout
  10. 10 Streams, Grouping and Parallelism
  11. 11 Tuple Tree
  12. 12 Nimbus and Storm UI
  13. 13 So, Storm is pretty amazing!
  14. 14 Multi-Lang Protocol
  15. 15 Enter Streamparse
  16. 16 Running and debugging
  17. 17 Submitting to remote cluster Single comment
  18. 18 Bolts for Real-Time ETL
  19. 19 Types of Bolts
  20. 20 Overhead considerations
  21. 21 Topology Considerations
  22. 22 Questions?

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