Backpressure: How Node.js Avoids Memory Overload When Data Outpaces Processing

The article explains backpressure, a signal a data consumer sends to a producer asking it to slow down when it cannot keep up with incoming data. It uses a fast-food analogy in which a quick cook is held back by a slower cashier, leading to a pile-up that the feedback signal prevents. For Node.js developers, the piece notes that asynchronous reading can easily outpace writing, which without control can exhaust RAM and crash an application with an out-of-memory error. Node.js's Stream API addresses this through the boolean returned by write(), where a false value means the producer should pause until a drain event signals readiness to resume. The author presents backpressure as a core design feature that keeps systems stable rather than a bug.