<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Retraining on StackSimplify | DevOps &amp; Cloud Education by Kalyan Reddy</title><link>https://stacksimplify.com/tags/retraining/</link><description>Recent content in Retraining on StackSimplify | DevOps &amp; Cloud Education by Kalyan Reddy</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 14 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://stacksimplify.com/tags/retraining/index.xml" rel="self" type="application/rss+xml"/><item><title>ML Retraining Pipelines: From Drift Alert to Production Model</title><link>https://stacksimplify.com/blog/ml-retraining-pipelines/</link><pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate><guid>https://stacksimplify.com/blog/ml-retraining-pipelines/</guid><description>Your drift detector triggered an alert. Now what?
Most teams freeze. The runbook says &amp;ldquo;retrain the model.&amp;rdquo; Nobody knows how. Monitoring without a retraining pipeline is like alerting without a runbook.
The Retraining Spectrum Level Trigger Best For Manual Data scientist retrains in a notebook Small teams, low-risk models Scheduled Cron job retrains every week/month Predictable drift patterns Triggered Drift detector kicks off pipeline automatically High-value models Most teams should start with manual.</description></item></channel></rss>