Reactive Streams – Page 11 – Sharp: NCLEX, Java & Python

Java: Backpressure Strategies

When should you prefer map over flatMap?

How does WebFlux compare to Virtual Threads in handling concurrency?

How would you explain the 'request(n)' pattern in backpressure in an interview?

How does onBackpressureBuffer help in reactive programming?

How do backpressure strategies help manage data flow between fast Publishers and slow Subscribers?

Why is blocking the event loop so damaging in WebFlux?

What makes the Event Loop non-blocking in Reactive Streams?

How does a Subscriber signal it can't keep up?

Why is backpressure crucial in Reactive Streams?

When is dropping old values an acceptable backpressure strategy?