<?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>Pprof on Plbear | Cuz Penguin QQ</title><link>https://www.plbear.com/tags/pprof/</link><description>Recent content in Pprof on Plbear | Cuz Penguin QQ</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Mon, 01 Dec 2025 10:00:00 +0800</lastBuildDate><atom:link href="https://www.plbear.com/tags/pprof/index.xml" rel="self" type="application/rss+xml"/><item><title>Go 性能调优：pprof 与 trace 工具链在生产环境的应用</title><link>https://www.plbear.com/posts/2025-12-01-go-performance-tuning/</link><pubDate>Mon, 01 Dec 2025 10:00:00 +0800</pubDate><guid>https://www.plbear.com/posts/2025-12-01-go-performance-tuning/</guid><description>Go 服务性能调优的完整方法论，涵盖 pprof CPU/内存/阻塞分析、trace 链路追踪、火焰图、常见性能问题定位与优化，以及在招聘平台微服务中的实战案例和调优效果。</description></item></channel></rss>