Little’s Law and Concurrency: Why Your System Gets Slow When It’s Busy
Read OriginalThis article explains Little's Law (Concurrency = Throughput × Latency) from queuing theory and applies it to IT systems like web servers and APIs. It demonstrates with examples how increased latency, even with stable request rates, leads to higher concurrency and system slowdowns. The piece covers the business impact, monitoring importance, and practical design tips for managing thread pools and planning for traffic spikes.
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