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