You might not need Redis: a DB table and your filesystem do more than you think

<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

<p>We’ve all been there. You sketch out a flawless high-level architecture on the whiteboard, and the interviewer leans in:</p> <p>“<em><strong>Alright, what database are we using

<h2> 1. Intro — The Problem We Actually Had </h2> <p>Building real-time systems is often presented as a distributed systems problem.</p> <p>Kafka, stream processors, event buses,

<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

<h2> Redis Is a Network Hop </h2> <p>Every Redis call is a TCP round-trip. At 96 concurrent workers doing FHE operations, a single Redis container serialized all connections. Our

<p>When I started learning Redis, I had one big question: <strong>"If thousands of people are using the same app at the same time, how does the app know whose data belongs to