managing-api-cache

# Managing API Cache ## Overview Implement intelligent API response caching using Redis, Memcached, or in-memory stores with cache key generation, TTL management, cache invalidation strategies, and HTTP cache headers. Support read-through, write-through, and cache-aside patterns with tag-based invalidation for related resources and stale-while-revalidate behavior. ## Prerequisites - Redis 6+ or Memcached for distributed caching (required for multi-instance deployments) - Cache client library: `ioredis` (Node.js), `redis-py` (Python), or Lettuce (Java) - CDN with cache control support for edge caching (CloudFront, Cloudflare, Fastly) -- optional - Monitoring for cache hit/miss ratios and eviction rates - Understanding of data freshness requirements per endpoint ## Instructions 1. Analyze endpoint characteristics using Read and Grep to classify endpoints by cacheability: fully cacheable (static data), conditionally cacheable (user-specific data), and never cacheable (mutations, real-time data). 2. Implement cache key generation middleware that creates deterministic keys from method, path, query parameters (sorted), and relevant headers (Accept, Authorization hash for user-specific caches). 3. Build a cache-aside middleware that checks the cache before executing the handler, returning cached responses with `X-Cache: HIT` header, or executing the handler, caching the result, and returning with `X-Cache: MISS`. 4. Configure TTL per endpoint category: long TTL (1 hour) for re...