What trade-offs come with Streams and Backpressure?

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Quick interview answer

Pros: Constant memory for large files; composable pipeline with pipe(). Cons: Error handling across piped streams needs explicit destroy/abort logic.

Detailed answer

Trade-offs for Streams and Backpressure: Pros: Constant memory for large files; composable pipeline with pipe(). Cons: Error handling across piped streams needs explicit destroy/abort logic. Decision rule: choose Streams and Backpressure when the benefits outweigh operational cost for your SLO. Parent context: Baseline: Readable pushes data; Writable signals backpressure when internal buffer exceeds highWaterMark. Respect drain event before resuming writes to avoid memory blowup.

Full explanation

Strong answers state both sides and when you would pick an alternative. Pros: Constant memory for large files; composable pipeline with pipe(). Cons: Error handling across piped streams needs explicit destroy/abort logic.

Follow-up questions

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Parent context — Streams and Backpressure

Baseline: Readable pushes data; Writable signals backpressure when internal buffer exceeds highWaterMark. Respect drain event before resuming writes to avoid memory blowup.

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