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Cache and Redis: Why and How to Use

Imagine your application makes thousands of queries to the same database. All this traffic generates latency, CPU load, disk load, and increases costs. In such scenarios, cache comes in: an ultra-fast memory (RAM) layer that stores recent results to avoid repeated database queries.

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