Structured Concurrency: Managing the Hierarchical Cancelation and Error Handling

on YouTube ↗01h 02m

" summary

Demo server and repo called Easy Racer exercise 11 structured-concurrency obstacles with real code in Java (Loom + StructuredTaskScope), jOckS, Scala (ox), Rust (tokio), Kotlin (coroutines/arrow), Python asyncio, TypeScript effects and ZIO-style libs. Claims: hierarchical scopes cancel losers, support Scoped Values, handle timeouts and resource cleanup, and enable hedging. The project proves virtual threads scale to 10,000 concurrent requests, shows shutdown-on-success vs shutdown-on-failure semantics, and verifies cancellation actually closes connections.

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" chapters (27)

1. 0:00Introduction to structured concurrency
2. 1:04What is structured concurrency
3. 5:20Common use cases for races
4. 8:08Introducing Easy Racer project
5. 9:30Three approaches to structured concurrency
6. 11:14Scenario one: Basic race
7. 15:40Scenario one demo and explanation
8. 17:35Real-world race use cases
9. 21:13Direct style implementations
10. 22:40Scope driven implementations
11. 23:43Java Loom structured concurrency
12. 27:55Effect-oriented implementations
13. 30:26Scenario two: Error handling
14. 33:18Java Loom error handling demo
15. 35:30Kotlin coroutines limitations
16. 39:43Scenario three: 10,000 concurrent requests
17. 40:54Why use 10,000 concurrent requests
18. 43:49Java jocks direct style
19. 45:12Scenario four: Timeouts
20. 48:26Timeouts as races against time
21. 49:55Scenario eight: Resource management
22. 53:30Java resource management demo
23. 55:23Scenario seven: Hedging explained
24. 57:09Hedging implementation demo
25. 59:02Scoped values in Loom
26. 1:00:05Scoped values demo
27. 1:01:30Resources and closing remarks

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