Caching Strategies Explained: From Browser to Database, and the Stale Data in Between
HTTP caching, cache-aside, write-through, Redis patterns, and cache invalidation — plus the stale data problems. The Request That Cost $100,000 In 2017, a major cloud provider experienced an outage that traced back to a single misconfigured cache. A caching layer that was supposed to serve data within 5 milliseconds had been configured with a TTL (time-to-live) of 24 hours. When the underlying…
Caching is a powerful performance tool for developers, capable of making systems up to 100 times faster and reducing database load by up to 95%. However, caching also introduces the risk of serving stale data, which is one of the hardest problems in distributed systems. This guide explains the various caching strategies, patterns to prevent stale data, and the trade-offs involved in using caching effectively.
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