Handling Backpressure in Reactive Streams
Manage fast producers and slow WebSocket clients in WebFlux using Reactor backpressure operators so streams stay stable under load.
The Fast Producer, Slow Consumer Problem
A reactive WebSocket may emit market ticks faster than a client can consume them. Without control, buffers grow until memory is exhausted. This mismatch is what backpressure solves.
What Backpressure Means
Backpressure is the consumer telling the producer how much it can handle. In Reactor, the subscriber requests n items; the publisher must not exceed that demand.
All lessons in this course
- Introduction to Reactive Programming
- WebFlux WebSocket Handlers
- Building Reactive Real-Time Services
- Handling Backpressure in Reactive Streams