Heldinhow/redis-cache

Redis Caching

Overview

Redis provides in-memory caching to improve application performance and reduce database load. This skill should be invoked when implementing caching for frequently accessed data, session storage, or rate limiting.

Core Principles

• Cache Strategy: Choose write-through, write-behind, or look-aside
• TTL: Set appropriate time-to-live for cached data
• Invalidation: Handle cache invalidation properly
• Patterns: Use Redis data structures effectively

Preparation Checklist

• [ ] Set up Redis server
• [ ] Choose client library
• [ ] Plan cache strategy
• [ ] Define cache keys

Step-by-Step Process

1. Connect: Set up Redis client
2. Define Strategy: Choose caching approach
3. Implement: Write get/set/delete operations
4. TTL: Set expiration times
5. Invalidate: Handle cache updates
6. Monitor: Track cache hit rates

Do's and Don'ts

• ✅ Do use appropriate TTL values
• ✅ Do implement cache invalidation
• ✅ Do use meaningful cache keys
• ❌ Don't cache data needing strong consistency
• ❌ Don't set indefinite TTL
• ❌ Don't ignore cache misses

Anti-Patterns

• No Expiry: Cached data that never expires
• Inconsistency: Caching data that changes frequently
• Key Collisions: Poor key naming
• No Monitoring: Not tracking cache performance