Reactive Spring
summary
Argues that nonblocking IO and backpressure let JVM services handle far more concurrent requests by reusing threads, demonstrates Spring WebFlux with Reactor types Mono and Flux, persists sample rows (three inserted in the demo) via R2DBC and exposes them over a reactive HTTP endpoint with WebClient, runs a streaming demo that emits responses every second over RSocket, shows client hedging and retry patterns, and proves the stack works end to end (after a transient port snag).
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chapters (10)
- 0:00Introduction
- 1:28Why reactive programming
- 9:34Spring and reactive support
- 13:44Setting up the demo
- 21:40Reactive Streams basics
- 28:17Building a REST endpoint
- 30:22Long-running operations
- 33:10RSocket for efficient communication
- 37:07Building a reactive client
- 46:41Summary and Q&A
