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What is backpressure in reactive Swift systems and how do you handle it?

Updated May 17, 2026

Short answer

Backpressure occurs when producers emit data faster than consumers can process it.

Deep explanation

In reactive systems like Combine, backpressure leads to memory buildup and performance issues. Solutions include buffering, throttling, dropping strategies, and demand control using demand-based publishers.

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