<?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>Utilization on Micha Kops&#39; Tech Notes</title>
    <link>https://www.hascode.com/tags/utilization/</link>
    <description>Recent content in Utilization on Micha Kops&#39; Tech Notes</description>
    <generator>Hugo -- 0.147.8</generator>
    <language>en</language>
    <copyright>Copyright © 2010 - 2025 Micha Kops. #213243b1d6e8932079e09227d3f3ed0c806cd0c9</copyright>
    <lastBuildDate>Mon, 01 Mar 2010 00:00:00 +0100</lastBuildDate>
    <atom:link href="https://www.hascode.com/tags/utilization/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Observability Snippets</title>
      <link>https://www.hascode.com/observability-snippets/</link>
      <pubDate>Mon, 01 Mar 2010 00:00:00 +0100</pubDate>
      <guid>https://www.hascode.com/observability-snippets/</guid>
      <description>&lt;div class=&#34;sect1&#34;&gt;
&lt;h2 id=&#34;_the_use_methodology&#34;&gt;The USE Methodology&lt;/h2&gt;
&lt;div class=&#34;sectionbody&#34;&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;&lt;strong&gt;USE&lt;/strong&gt; stands for &lt;strong&gt;Utilization&lt;/strong&gt;, &lt;strong&gt;Saturation&lt;/strong&gt;, and &lt;strong&gt;Errors&lt;/strong&gt;. Developed by Brendan Gregg, it’s a low-level diagnostic tool for infrastructure and system resources.&lt;/p&gt;
&lt;/div&gt;
&lt;div class=&#34;ulist&#34;&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Utilization&lt;/strong&gt; – How much of a resource is used? (e.g., 70% CPU)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Saturation&lt;/strong&gt; – Is the system over capacity? (e.g., CPU run queue)&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;strong&gt;Errors&lt;/strong&gt; – Are there hardware or system faults? (e.g., disk errors)&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;&lt;strong&gt;Best for&lt;/strong&gt;: Bottleneck analysis on servers, network, disk, memory&lt;/p&gt;
&lt;/div&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;Source: &lt;a href=&#34;https://grafana.com/docs/grafana/latest/dashboards/build-dashboards/best-practices/&#34; class=&#34;bare&#34;&gt;https://grafana.com/docs/grafana/latest/dashboards/build-dashboards/best-practices/&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class=&#34;sect1&#34;&gt;
&lt;h2 id=&#34;_the_red_methodology&#34;&gt;The RED Methodology&lt;/h2&gt;
&lt;div class=&#34;sectionbody&#34;&gt;
&lt;div class=&#34;paragraph&#34;&gt;
&lt;p&gt;&lt;strong&gt;RED&lt;/strong&gt; focuses on service-level performance and is tailored for microservices and HTTP-based systems.&lt;/p&gt;
&lt;/div&gt;</description>
    </item>
  </channel>
</rss>
