redis-patterns

Redis Patterns Quick reference for Redis best practices across common backend use cases. How It Works Redis is an in-memory data structure store that supports strings, hashes, lists, sets, sorted sets, streams, and more. Individual Redis commands are atomic on a single instance; multi-step workflows require Lua scripts, MULTI/EXEC transactions, or explicit synchronization to stay atomic. Data is optionally persisted via RDB snapshots or AOF logs. Clients communicate over TCP using the RESP protocol; connection pools are essential to avoid per-request handshake overhead. When to Activate Adding caching to an application Implementing rate limiting or throttling Building distributed locks or coordination Setting up session or token storage Using Pub/Sub or Redis Streams for messaging Configuring Redis in production (pooling, eviction, clustering) Data Structure Cheat Sheet Show more