How does Kotlin handle backpressure in real-time systems?

Backpressure is handled via suspension and buffering strategies in Flow.

Kotlin Flow naturally handles backpressure by suspending producers when consumers are slow. Additional operators like buffer, conflate, and collectLatest allow control over data flow behavior. This ensures memory stability and prevents system overload in streaming scenarios.