How the Events Table That Looked Right Killed Our Queue

<blockquote> <p>The pager went off at 2:14 AM.</p> </blockquote> <p>If you’ve spent any time operating distributed systems, you know that sound. It doesn’t just wake you up; it

<h2> The Problem We Were Actually Solving </h2> <p>We had built the Treasure Hunt Engine to power in-game treasure hunts that reward players for exploring content. At 100 000

<p>Most applications don't fail because of bad code.</p> <p>They fail because of bad architecture decisions made early that nobody questioned <br /> until it was too late.</p>

<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,

<h2> The Problem We Were Actually Solving </h2> <p>We werent building a generic scale story; we were protecting a money-printing loop. The treasure-hunt engine awarded cash prizes

<h2> The Problem We Were Actually Solving </h2> <p>It wasnt supposed to be a language swap. We had built the Treasure Hunt Engine on Go 1.20, using channels and sync.Pool to keep

<h2> The Problem We Were Actually Solving </h2> <p>Our users werent doing semantic search. They were executing treasure hunts: complex, multi-stage queries where the first phase

<h2> The Problem We Were Actually Solving </h2> <p>I was tasked with optimizing the performance of our treasure hunt engine, a complex system that relied on a multitude of