Why your .NET 8 API needs a cache layer — and how to build it right with Redis/V

<p>Hey dev.to community! 👋</p> <p>I've been working on a side project for a while now and finally got it to a point where I feel comfortable sharing it publicly. It's called

<p>Every high-traffic system eventually hits the same wall: your data store can't keep up. For us, the breaking point came when a simple product lookup — backed by Elasticsearch —

<blockquote> <p>Skip the theory rabbit holes. This is the caching knowledge that shows up in system design interviews, code reviews, and the 2 AM production incidents nobody

<p>Every backend engineer has heard the advice: add a cache. It will make your system faster. And they are right, it will. But a cache that is not properly understood is one of

<blockquote> <p>Cross-posted from <a href="https://runsite.app/blog/cache-aside-write-through-write-behind" rel="noopener noreferrer">the Runsite blog</a>.</p> </blockquote>

<p>When Redis changed its license on March 20, 2024, it triggered one of the fastest open-source forks in recent memory. Eight days later, on March 28, 2024, the Linux Foundation

<p>If a page reads from your database, render it <strong>on demand</strong>, not during the build. Prerendering it means your build container needs a route to Postgres, and on

<h1> Atomic Redis Value Replacement Without Downtime: The Temporary Key Pattern </h1> <p>When Redis holds mission‑critical data—authorization rules, feature flags, live