Latest Caching Articles

Caching significantly reduces database load, but poorly designed caches can become bottlenecks themselves. Two of the most common production problems are cache stampedes , where many requests simultaneously rebuild an expired value, and hot keys , where a single cache entry receives a disproportiona

Caching reduces latency and protects databases from repeatedly performing the same expensive work. A well-designed cache can serve high-volume reads in milliseconds while lowering database CPU, storage I/O, connection usage, and infrastructure cost.

Distributed applications depend on caching to achieve low latency, high throughput, and reasonable infrastructure costs. Without effective caching, every request competes for database connections, network bandwidth, and compute resources. As traffic grows, the database often becomes the first scalab

Large production systems rarely rely on a single cache. Modern architectures typically combine browser caches, CDNs, reverse proxies, local in-memory caches, distributed caches, and database caches. Each layer removes a different bottleneck and serves requests at a different point in the request pat

Caching improves latency and reduces database load, but every cached value eventually becomes stale. Cache invalidation is the process of ensuring that cached data reflects authoritative state after changes occur. In production systems, invalidation is often more difficult than caching itself becaus

Cache-aside, write-through, and write-behind define how applications coordinate cached data with authoritative storage. Each pattern changes read latency, write latency, consistency, durability, and failure recovery.

CDNs, reverse proxies, and application caches all reduce repeated work, but they operate at different locations and understand different parts of a request. A CDN serves users from geographically distributed edge locations, a reverse proxy protects and accelerates origin infrastructure, and an appli