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Cache Sharding

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Lobster Programming
Lobster Programming
May 25, 2026 · Backend Development

Designing a System That Can Survive Sudden Spikes of One Million QPS

The article analyzes why simply adding Redis nodes cannot handle a sudden million‑QPS surge, then presents three practical solutions—key sharding, multi‑level caching with hot‑key detection, and distributed‑lock‑based fallback—to build a resilient high‑concurrency backend.

Cache ShardingDistributed LockHigh concurrency
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Designing a System That Can Survive Sudden Spikes of One Million QPS