redis-patterns

Topics in the source

• Redis Patterns
• How It Works
• When to Activate
• Data Structure Cheat Sheet
• Core Patterns
• Cache-Aside (Lazy Loading)
• Write-Through Cache
• Cache Invalidation

Quick reference for Redis best practices across common backend use cases. 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. 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) | Use Case | Structure | Example Key | |----------|-----------|-------------| | Simple cache | String | product:123 | | User session | Hash | session:abc | | Leaderboard | Sorted Set | scores:weekly | | Unique visitors | Set | visitors:2024-01-01 | | Activity feed | List | feed:user:456 | | Event stream | Stream | events:orders | | Counters / rate limits | String (INCR) | ratelimit:user

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