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Vansh Khandelwal

Full Stack Web Devel... • 1d

Reactive systems prioritize responsiveness, resilience and elasticity; a core challenge is back-pressure—controlling data flow so producers don’t overwhelm slower consumers. Techniques include buffering to smooth bursts, rate-limiting producers, priority queuing for critical messages and feedback loops so consumers signal capacity. Resilient streaming complements this with fault tolerance (replication, checkpointing), elastic scaling, graceful degradation and continuous monitoring/metrics. Together these practices prevent crashes, data loss and latency spikes. With IoT, ML and real-time analytics growth, mastering back-pressure and resilient streaming is essential: implement adaptive flow control, observability and scalable architectures to ensure robust, high-performance streaming systems.

https://medium.com/@vansh.khandelwal06/mastering-reactive-systems-back-pressure-handling-and-resilient-streaming-9bd0d77044c2

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