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Backpressure Handling

In plain terms

Managing flow when consumers can't keep up with producers.

Going deeper

Backpressure handling slows or buffers producers when downstream is overwhelmed, preventing crashes and data loss. It keeps pipelines stable.

Under the hood

Strategies include buffering, dropping, and signaling upstream to slow down; core to reactive streams.

Examples

Reactive streams, message queues, flow control, streaming systems.

Think of it like...

Like a dam regulating water flow so the river downstream doesn't flood.

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