Redis State Management

This walks you through the practical patterns you actually need for Redis in production: cache-aside versus write-through strategies, session storage, pub/sub messaging, and distributed locks. It covers all the data structures (strings, hashes, lists, sorted sets, streams) with concrete Python examples using redis-py. The guide is thorough on connection pooling, TTL management, and persistence options like RDB versus AOF. If you're building anything that needs shared state across services or want to add a caching layer without guessing at patterns, this gives you the playbook. It assumes you know why you need Redis and jumps straight into how to use it correctly.