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#
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Service Worker Caching#
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CDN Caching#
Vercel Edge Config#
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Cache Invalidation#
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Application-Level Caching#
Redis Caching Layer#
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Cache Patterns#
Cache-Aside#
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Write-Through#
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Write-Behind (Write-Back)#
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Query-Level Caching#
Prisma with Redis#
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Memoization for Expensive Computations#
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Cache Invalidation Strategies#
Time-Based (TTL)#
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Event-Based#
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Version-Based#
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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.