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: Use Streams and Backpressure as the core idea. Example shape: ETL job pipes HTTP download → gzip transform → S3 upload without loading entire file into RAM..

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

Use Streams and Backpressure as the core idea. Example shape: ETL job pipes HTTP download → gzip transform → S3 upload without loading entire file into RAM..

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