<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Grafana Faro on Mi&amp;Bee Blog</title><link>https://blog.mickeyzzc.tech/tags/grafana-faro/</link><description>Recent content in Grafana Faro on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Mon, 22 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.mickeyzzc.tech/tags/grafana-faro/rss.xml" rel="self" type="application/rss+xml"/><item><title>前端监控(RUM)时序存储架构：Sentry、Datadog RUM 与 Grafana Faro</title><link>https://blog.mickeyzzc.tech/posts/telemetry/obs-tech-05-rum-storage/</link><pubDate>Mon, 22 Jun 2026 00:00:00 +0000</pubDate><guid>https://blog.mickeyzzc.tech/posts/telemetry/obs-tech-05-rum-storage/</guid><description>&lt;p&gt;前端监控（Real User Monitoring, RUM）与后端监控的根本差异在于数据模型：RUM 采集的是&lt;strong&gt;带海量高基数属性的事件流&lt;/strong&gt;——每个用户访问产生 session_id、user_id、page_url 等上百个维度，传统时序数据库（TSDB）的 label-set 模型在此场景下会剧烈退化。&lt;/p&gt;</description></item></channel></rss>