How to Detect Hotspots with a Rate‑Limiting System Using Concurrent LRU Maps

This article explains how a rate‑limiting system can identify hot‑spot resources by using time‑window statistics, a concurrent LRU hash map, and cluster‑wide aggregation to efficiently track and evict low‑frequency keys while maintaining high throughput.

Backend PerformanceDistributed SystemsSliding Window

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How to Detect Hotspots with a Rate‑Limiting System Using Concurrent LRU Maps