<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0"><channel><title>AIOps</title><link>https://sreai.net/en/tags/aiops/</link><description>Practical notes on SRE, cloud-native reliability, and AI infrastructure.</description><language>en</language><lastBuildDate>Thu, 13 Aug 2026 23:52:33 +0800</lastBuildDate><item><title>Deep Learning in SRE Intelligent Operations Practice</title><link>https://sreai.net/en/posts/aiops-practice/</link><guid isPermaLink="true">https://sreai.net/en/posts/aiops-practice/</guid><pubDate>Mon, 20 Jul 2026 00:00:00 +0000</pubDate><description>As microservice architectures and cloud-native scale grow, traditional threshold-based alerting can no longer meet the need for rapid incident response. This article explores how deep learning-based anomaly detection systems help SRE teams shift from reactive responses to proactive prediction.</description><category>SRE Architecture</category><category>SRE</category><category>AIOps</category><category>机器学习</category></item><item><title>Building Enterprise Intelligent Operations Knowledge Base with RAG</title><link>https://sreai.net/en/posts/rag-knowledge-base/</link><guid isPermaLink="true">https://sreai.net/en/posts/rag-knowledge-base/</guid><pubDate>Wed, 15 Jul 2026 00:00:00 +0000</pubDate><description>Leverage LangChain + Chroma vector database to transform historical Runbooks, incident reports, and operations documents into a retrievable intelligent knowledge base for rapid root cause localization in on-call scenarios.</description><category>Artificial Intelligence</category><category>RAG</category><category>AIOps</category><category>LLM</category></item></channel></rss>