Redis is a fast in-memory data store used by many backend applications. It supports strings, hashes, lists, sets, and more. This guide explains common patterns for caching, rate limiting, and distributed locks.
You will learn how to use Redis for session storage, pub/sub messaging, and connection management. These patterns help you build reliable and scalable systems.
The examples include code for cache aside, write through, invalidation, and sliding window rate limiting. They are ready for production use.
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