What is backpressure in a streaming or message-driven system, and why does it matter?
Correct! Well done.
Incorrect.
The correct answer is A) A mechanism allowing a slow consumer to signal a fast producer to slow down or buffer, preventing the consumer from being overwhelmed and the system from running out of memory or dropping messages uncontrollably
Correct Answer
A mechanism allowing a slow consumer to signal a fast producer to slow down or buffer, preventing the consumer from being overwhelmed and the system from running out of memory or dropping messages uncontrollably
Without backpressure, a fast producer can flood a slower consumer, causing unbounded queues, memory exhaustion, or dropped messages. Reactive Streams, RxJava, and message brokers implement backpressure so consumers can request data at a sustainable rate, keeping the whole pipeline stable under load.