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Actors and Workflows: Different, Yet the Same

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Temporal-backed Java workflows implement long-lived Actors that receive signals like addPoints and inviteGuest, create child workflows by deterministic IDs, and persist event history so a Ctrl-C crash and worker restart resumes customers (5000 points → Platinum tier) without replaying logs. Demo shows asynchronous child start, history pruning via continueAsNew, a live IndexOutOfBounds bug that is fixed and retried automatically, and notes on non-determinism/versioning for safe code upgrades.

AI-written summary · about

  1. 0:00Introduction to talk
  2. 2:48Defining actor model
  3. 5:18Parallelism vs concurrency
  4. 7:03Actor model benefits
  5. 9:38Actor state persistence
  6. 11:45Introducing workflows
  7. 12:50Customer loyalty demo setup
  8. 13:31Building customer data object
  9. 14:15Workflow interface design
  10. 15:42Running workflow demo
  11. 17:50Handling system failures
  12. 18:54Sending messages implementation
  13. 19:37Creating child workflows
  14. 24:31Infinite workflow execution
  15. 26:36Full workflow demonstration
  16. 28:23Summary of actor workflows
  17. 29:05Q&A session starts
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