7 articles tagged with Caching.
Both are fast in-memory stores, and both get picked by habit more than by requirements. Here is what actually differs and when each one is the right call.
Stop re-downloading the same packages on every CI run by caching dependencies with keys that actually hit.
Users kept asking the same questions in slightly different words, and we paid full price every time. Semantic caching cut our LLM bill by a third.
The cache-control header most teams under-use. How stale-while-revalidate and stale-if-error turned our CDN from a freshness liability into a latency and resilience win — with the gotchas.
Most CI caches either miss constantly or restore stale junk. The cache-key discipline, scope boundaries, and measurements that turned our pipeline cache from theatre into real minutes saved.
Three caching patterns, three failure modes. The one we use most, the one that bit us, and the rule that decides which pattern fits which workload.
There are two hard problems in computer science." We've worked on the cache-invalidation one for a while. The patterns that hold up at scale and the ones that look clean and aren't.
