Reactive Programming in Java

on YouTube ↗52m

" summary

Argues reactive programming groups four needs — message-driven architecture, elasticity, responsiveness, resilience — and demonstrates a runnable Java RxJava example: an Observable that lazily emits stock prices fetched from Yahoo Finance, shows subscribe triggering emission, uses map/filter, sends onComplete and onError (error flows down the error channel), and swaps to a backup via onErrorResumeNext. Mentions Flowable for backpressure handling, contrasts with Java 8 streams, and cites a real-world scale problem (50 million users on peak days) motivating the approach.

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" chapters (23)

1. 0:00Introduction
2. 0:54What is Reactive Programming
3. 2:28Why Reactive Programming
4. 9:13Failure Story
5. 10:00What does this all mean
6. 11:39Reactive Applications
7. 11:58Raising the level of abstraction
8. 14:33Asking for help
9. 17:53Efficiency
10. 18:57Observable
11. 20:40Errors
12. 21:27Error Channels
13. 26:13How do we do this
14. 29:37Subscribe
15. 30:44Stream vs Observable
16. 33:12Fetch
17. 34:40Thread
18. 34:57Testing
19. 35:22Reactive Programming
20. 40:57Error Handling
21. 41:48Filtering Data
22. 48:23Back Pressure
23. 50:25Summary

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