<?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>监控 on fancive 的技术博客</title><link>https://fancivez.com/tags/%E7%9B%91%E6%8E%A7/</link><description>Recent content in 监控 on fancive 的技术博客</description><image><title>fancive 的技术博客</title><url>https://fancivez.com/images/og-default.jpg</url><link>https://fancivez.com/images/og-default.jpg</link></image><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Thu, 09 Apr 2026 14:08:57 +0800</lastBuildDate><atom:link href="https://fancivez.com/tags/%E7%9B%91%E6%8E%A7/index.xml" rel="self" type="application/rss+xml"/><item><title>如何量化 API 接口的 CPU 资源消耗：一种基于回归分析的方法</title><link>https://fancivez.com/posts/quantify-api-cpu-consumption-with-regression/</link><pubDate>Fri, 23 Jan 2026 12:00:00 +0800</pubDate><guid>https://fancivez.com/posts/quantify-api-cpu-consumption-with-regression/</guid><description>利用线性回归和现有监控数据（QPS、CPU 使用率），量化微服务中各 API 接口的 CPU 资源消耗，指导性能优化。</description></item></channel></rss>