Caching dramatically improves application performance. This guide covers caching strategies at every layer of your application stack.
Caching Layers
┌─────────────────────────────────────────────────────┐
│ Browser Cache │
├─────────────────────────────────────────────────────┤
│ CDN Cache │
├─────────────────────────────────────────────────────┤
│ Application Cache (Redis) │
├─────────────────────────────────────────────────────┤
│ Database Query Cache │
└─────────────────────────────────────────────────────┘
Browser Caching
Cache-Control Headers
Service Worker Caching
CDN Caching
Vercel Edge Config
Cache Invalidation
Application-Level Caching
Redis Caching Layer
Cache Patterns
Cache-Aside
Write-Through
Write-Behind (Write-Back)
Query-Level Caching
Prisma with Redis
Memoization for Expensive Computations
Cache Invalidation Strategies
Time-Based (TTL)
Event-Based
Version-Based
Best Practices
- Cache at the right level: Start with CDN, then application cache
- Set appropriate TTLs: Balance freshness with performance
- Plan for invalidation: Know how and when to clear caches
- Monitor hit rates: Track cache effectiveness
- Handle cache failures: Application should work without cache
Conclusion
Effective caching requires understanding your data access patterns. Layer your caches appropriately, implement proper invalidation, and monitor cache performance.