Redis Caching Patterns

Implement Redis caching and data structures for high-performance applications. Designs cache-aside, write-through, and TTL strategies plus pub/sub messaging, rate limiting, and session management.

This skill helps you leverage Redis for caching and beyond. It implements cache-aside patterns, designs cache invalidation strategies, builds rate limiters with sliding windows, creates pub/sub messaging channels, manages sessions, and implements leaderboards and real-time counters using Redis data structures.

When to use

Use when adding caching to reduce database load, implementing rate limiting for APIs, building session management, creating real-time leaderboards, or adding pub/sub messaging to your application.

Examples

API rate limiter

Build a sliding window rate limiter

Implement a Redis-based sliding window rate limiter allowing 100 requests per minute per API key with proper headers

Cache invalidation strategy

Design a cache-aside pattern with proper invalidation

Design a Redis caching layer for our product catalog with cache-aside, tag-based invalidation, and cache warming on deploy