Caching Strategy

This walks you through building practical caching layers with Redis, Memcached, and CDNs to speed up your apps and reduce database hammering. You get working examples in TypeScript and Python, including multi-level cache setups, cache-aside patterns, and stampede prevention. The reference guides cover the essentials: invalidation strategies, HTTP headers, and decorators you can actually drop into your code. What's useful here is the focus on monitoring and graceful degradation, because caching fails in production and you need to handle it. Good for API optimization and high-traffic scenarios where you're tired of your database being the bottleneck.