<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Monitoring on Yongjie Xue</title><link>https://www.yongjiexue.io/en/tags/monitoring/</link><description>Recent content in Monitoring on Yongjie Xue</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 25 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.yongjiexue.io/en/tags/monitoring/index.xml" rel="self" type="application/rss+xml"/><item><title>Claude Code Observability</title><link>https://www.yongjiexue.io/en/ai/claude-observability/</link><pubDate>Sun, 25 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/claude-observability/</guid><description>&lt;p&gt;Yesterday I &lt;a href="https://x.com/ronvonng/status/2014972720489091514"&gt;tweeted&lt;/a&gt;: &amp;ldquo;Built a Claude Code Grafana dashboard to see how it makes decisions, uses tools, and burns through API credits.&amp;rdquo; Didn&amp;rsquo;t expect so much interest.&lt;/p&gt;&#10;&lt;img class="td-image" src="https://www.yongjiexue.io/ai/claude-observability/tweet-dashboard.webp" alt="Tweet screenshot" width="1080" height="1415" loading="lazy" decoding="async"&gt;&lt;p&gt;So let&amp;rsquo;s talk about Claude Code observability.&lt;/p&gt;&#10;&lt;hr&gt;&#10;&lt;h2 id="why-observability"&gt;Why Observability?&#10;&lt;/h2&gt;&#10;&lt;p&gt;Simple idea: I want to understand Claude Code&amp;rsquo;s internals. It&amp;rsquo;s not open source (&lt;a href="https://mp.weixin.qq.com/s/xaeVafPxUfAgQSzl-n3w2w"&gt;well, it was leaked once&lt;/a&gt;), but you can reverse-engineer its behavior through metrics and logs.&lt;/p&gt;</description></item><item><title>Victoria: The Observability Stack That Slaps the Industry</title><link>https://www.yongjiexue.io/en/db/victoria-stack/</link><pubDate>Wed, 17 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/victoria-stack/</guid><description>VictoriaMetrics is brutally efficient—using a fraction of Prometheus + Loki’s resources for multiples of the performance. Pigsty v4 swaps to the Victoria stack; here’s the beta for anyone eager to try it.</description></item><item><title>Golden Monitoring Metrics: Errors, Latency, Throughput, Saturation</title><link>https://www.yongjiexue.io/en/pg/golden-metrics/</link><pubDate>Fri, 06 Nov 2020 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/pg/golden-metrics/</guid><description>Understanding the golden monitoring metrics in PostgreSQL</description></item><item><title>PostgreSQL's KPI</title><link>https://www.yongjiexue.io/en/pg/pg-load/</link><pubDate>Fri, 29 May 2020 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/pg/pg-load/</guid><description>Managing databases is similar to managing people - both need KPIs (Key Performance Indicators). So what are database KPIs? This article introduces a way to measure PostgreSQL load: using a single horizontally comparable metric that is basically independent of workload type and machine type, called PG Load.</description></item><item><title>Monitoring Table Size in PostgreSQL</title><link>https://www.yongjiexue.io/en/pg/mon-table-size/</link><pubDate>Mon, 14 May 2018 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/pg/mon-table-size/</guid><description>Tables in PostgreSQL correspond to many physical files. This article explains how to calculate the actual size of a table in PostgreSQL.</description></item><item><title>PostgreSQL Server Log Regular Configuration</title><link>https://www.yongjiexue.io/en/pg/logging/</link><pubDate>Tue, 06 Feb 2018 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/pg/logging/</guid><description>It&amp;rsquo;s recommended to configure PostgreSQL&amp;rsquo;s log format as CSV for easy analysis, and it can be directly imported into PostgreSQL data tables.</description></item></channel></rss>