Advanced Caching
The advanced caching utilities provide sophisticated caching strategies and patterns specifically designed for edge environments, supporting multiple storage backends, cache warming, invalidation, and performance optimization.Features
- Multiple Backends: Memory, KV, Redis, and custom storage support
- Advanced Strategies: Write-through, write-behind, cache-aside patterns
- Cache Warming: Pre-populate cache for optimal performance
- Smart Invalidation: Pattern-based and selective cache invalidation
- Performance Monitoring: Cache hit rates, latency, and usage metrics
- Distributed Caching: Multi-region cache synchronization
- Edge Optimized: Low-latency operations for edge environments
- Consistency: Strong consistency guarantees with conflict resolution
Quick Start
Cache Backends
MemoryCache
In-memory cache with TTL and size limits.EdgeCache
KV-based cache optimized for edge environments.RedisCache
Redis-based distributed cache.Custom Cache Backend
Caching Patterns
Cache-Aside Pattern
Application manages cache directly.Write-Through Pattern
Writes go through cache to storage.Write-Behind Pattern
Writes to cache, asynchronously to storage.Cache Warming
Pre-populate cache for optimal performance.Cache Invalidation
Pattern-Based Invalidation
Selective Invalidation
Performance Monitoring
Cache Metrics
Cache Statistics
Distributed Caching
Multi-Region Synchronization
Cache Replication
Advanced Features
Cache Compression
Cache Encryption
Cache TTL Management
Middleware Integration
Cache Middleware
HTTP Cache Headers
Performance Optimization
Cache Warming Strategies
Memory Management
Performance Benchmarks
Platform-Specific Notes
Cloudflare Workers
- Use Cloudflare KV for distributed caching
- Leverage Durable Objects for advanced caching patterns
- Consider cache zones for geographic distribution
Vercel Edge Functions
- Use Vercel KV for caching
- Compatible with Edge Config for configuration
- Support for regional cache invalidation
Deno Deploy
- Use Deno KV for caching
- Native performance with Deno runtime
- Support for cache compression and encryption
Best Practices
Cache Key Design
Cache TTL Strategy
Error Handling
Testing
Run cache tests with:API Reference
Cache Interface
get(key)- Get value by keyset(key, value, options)- Set value with optionsdelete(key)- Delete value by keyclear()- Clear all valueshas(key)- Check if key existsgetMany(keys)- Get multiple valuessetMany(entries)- Set multiple valuesdeleteMany(keys)- Delete multiple valuesgetStats()- Get cache statisticsgetMetrics()- Get performance metrics
Cache Patterns
CacheAsidePattern- Cache-aside pattern implementationWriteThroughPattern- Write-through pattern implementationWriteBehindPattern- Write-behind pattern implementation
Utilities
cacheWarming(cache, keys, loader, options)- Warm cache with datacacheInvalidation(cache, pattern, options)- Invalidate cache entriesgenerateCacheHeaders(options)- Generate HTTP cache headersbenchmarkCache(cache, options)- Benchmark cache performance
Contributing
When contributing to caching utilities:- Maintain backward compatibility
- Add comprehensive performance tests
- Update documentation for new features
- Follow established caching patterns
- Test across all supported platforms and backends