Performance Lessons from a Real Production Azure Application: Why Scaling Wasn't

<p>In <a href="https://amanksingh.com/blog/production-security-checklist" rel="noopener noreferrer">A Production Security Checklist</a>, I walked through what to lock down before

<h2> The Problem We Were Actually Solving </h2> <p>We've all been there - staring at a production server that's suddenly, inexplicably slow. As an engineer, I was tasked with

<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>This is a topic many beginners overlook until they encounter performance issues in production.</p> <p>One of the biggest surprises for developers is discovering that an

<p><em>A field decision from a real production migration — not a feature-matrix blog.</em></p> <p>When we migrated two internal enterprise applications (plus an integration layer)

<p><em>B-tree internals, column order and planner statistics in Postgres 19, checked against MongoDB's ESR rule.</em></p> <p>Most "add an index" advice stops at <code>CREATE

<p>When a .NET API works perfectly in staging and then falls over under real production load, the root cause is almost never a single catastrophic bug. It is usually a collection

<p>When you’re building a hobby project, Vue’s reactivity feels like magic. But when that project hits 100,000 concurrent users, that same magic can turn into a memory-leaking