<?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>Grafana on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/grafana/</link><description>Recent content in Grafana on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Tue, 30 Jun 2026 10:55:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/grafana/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent监控告警最佳实践：从指标到告警全链路</title><link>https://guijiagi.com/posts/agent-monitoring-alerting-best-practices/</link><pubDate>Tue, 30 Jun 2026 10:55:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-monitoring-alerting-best-practices/</guid><description>系统阐述Agent系统监控告警体系的设计与实现，涵盖指标体系、告警规则、告警路由、值班排班及告警治理全链路</description></item><item><title>AI 应用监控仪表盘：Grafana + Prometheus 实战</title><link>https://guijiagi.com/posts/ai-monitoring-dashboard/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-monitoring-dashboard/</guid><description>从指标设计、Prometheus 采集、Grafana 可视化到告警自动化，构建 AI 应用全链路可观测性体系。</description></item></channel></rss>