<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Auto-Scaling on IT Comparison</title><link>https://comparison.metacog.co.kr/tags/auto-scaling/</link><description>Recent content in Auto-Scaling on IT Comparison</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 03 Aug 2026 06:33:25 +0900</lastBuildDate><atom:link href="https://comparison.metacog.co.kr/tags/auto-scaling/index.xml" rel="self" type="application/rss+xml"/><item><title>Auto Scaling vs Manual Scaling: Who Adjusts Capacity?</title><link>https://comparison.metacog.co.kr/posts/2026-08-03-auto-scaling-vs-manual-scaling-who-adjusts-capacity/</link><pubDate>Mon, 03 Aug 2026 06:33:25 +0900</pubDate><guid>https://comparison.metacog.co.kr/posts/2026-08-03-auto-scaling-vs-manual-scaling-who-adjusts-capacity/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Auto scaling and manual scaling both change how much compute capacity an application has, but they differ in who — or what — decides when that change happens. Auto scaling relies on an &lt;strong class="kw"&gt;automated feedback loop&lt;/strong&gt; that watches metrics and reacts on its own, while manual scaling depends on &lt;strong class="kw"&gt;human intervention&lt;/strong&gt; to notice load and issue the change. That difference in decision-maker drives everything else: reaction speed, cost efficiency, and how much ongoing attention the system needs.&lt;/p&gt;</description></item></channel></rss>