<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AIOps on Xianpeng Shen</title><link>https://shenxianpeng.dev/en/tags/aiops/</link><description>Recent content in AIOps on Xianpeng Shen</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>xianpeng.shen@gmail.com (Xianpeng Shen)</managingEditor><webMaster>xianpeng.shen@gmail.com (Xianpeng Shen)</webMaster><copyright>Copyright © 2017–2026 Xianpeng Shen. All rights reserved.</copyright><lastBuildDate>Tue, 27 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://shenxianpeng.dev/en/tags/aiops/index.xml" rel="self" type="application/rss+xml"/><item><title>What is AIOps—A Systematic Introduction to Intelligent Operations</title><link>https://shenxianpeng.dev/en/posts/2026/aiops/</link><pubDate>Tue, 27 Jan 2026 00:00:00 +0000</pubDate><author>xianpeng.shen@gmail.com (Xianpeng Shen)</author><guid>https://shenxianpeng.dev/en/posts/2026/aiops/</guid><description>Today, with the widespread adoption of microservices, hybrid clouds, and containerized deployments, IT systems have become exceptionally complex. When thousands of alert messages flood in, traditional operations models struggle. AIOps (Artificial Intelligence for IT Operations), an AI-driven transformation, is emerging as the &amp;ldquo;lifeline&amp;rdquo; for IT operations management. This article combines key insights from IBM, ServiceNow, GitHub, and Red Hat to provide a comprehensive overview of AIOps.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://shenxianpeng.dev/posts/2026/aiops/featured.jpg"/></item></channel></rss>