Performance Tuning Before Launch

<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>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

<blockquote> <p>When a request takes five seconds, the obvious question is what to make faster. The more useful question is what, precisely, the system spent those five seconds

<p>In the early days of a startup, functional is the goal. You write a query, you get the data, and you send it to the frontend. But as we scaled past 50,000 users, that

<p>Recently, I worked on an enterprise scoring and reporting application hosted on Azure SQL. What started as a simple performance issue eventually became a deep investigation

<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>Every performance article on Dev.to quotes the same two stats. You know them. Amazon. Walmart. The 100ms one. Everyone has seen them.</p> <p>Nobody measures what their own

<p>A team notices a checkout endpoint slowing down. Response times have crept from 80ms to 900ms over two weeks, but the infrastructure dashboard shows nothing abnormal. So the