<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quality Gates on StackSimplify | DevOps &amp; Cloud Education by Kalyan Reddy</title><link>https://stacksimplify.com/tags/quality-gates/</link><description>Recent content in Quality Gates on StackSimplify | DevOps &amp; Cloud Education by Kalyan Reddy</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sun, 12 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://stacksimplify.com/tags/quality-gates/index.xml" rel="self" type="application/rss+xml"/><item><title>Quality Gates for ML: 4 Layers Between Training and Production</title><link>https://stacksimplify.com/blog/quality-gates-for-ml/</link><pubDate>Sun, 12 Apr 2026 00:00:00 +0000</pubDate><guid>https://stacksimplify.com/blog/quality-gates-for-ml/</guid><description>40% of our candidate models got rejected at the quality gate. That is not a failure rate. That is a protection rate.
Without quality gates, every model that finishes training goes to production. Good models. Bad models. Models trained on corrupted data. Models that score well on the test set but tank in production.
Quality gates ask one question before every deployment: is this model actually better than what we have?</description></item></channel></rss>