<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Yq on Linux Café</title>
    <link>https://mrtomlinux.org/tags/yq/</link>
    <description>Recent content in Yq on Linux Café</description>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Sun, 14 Jun 2026 08:17:40 +0200</lastBuildDate>
    <atom:link href="https://mrtomlinux.org/tags/yq/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Taming Log Noise with jq and yq: Extracting Insights from Messy JSON and YAML Logs</title>
      <link>https://mrtomlinux.org/post/2026-06-14-taming-log-noise-with-jq-and-yq-extracting-in/</link>
      <pubDate>Sun, 14 Jun 2026 08:17:40 +0200</pubDate>
      <guid>https://mrtomlinux.org/post/2026-06-14-taming-log-noise-with-jq-and-yq-extracting-in/</guid>
      <description>&lt;h2 id=&#34;introduction-to-log-noise&#34;&gt;Introduction to Log Noise&lt;/h2&gt;&#xA;&lt;p&gt;I&amp;rsquo;ve seen log files become increasingly cluttered over the years, making it tough to find the information I need. With the complexity of modern systems, log noise has become a significant problem. Log noise refers to the unnecessary or redundant information in log files that can make it difficult to extract valuable insights. In this article, I&amp;rsquo;ll explore how to tame log noise using &lt;code&gt;jq&lt;/code&gt; and &lt;code&gt;yq&lt;/code&gt;, two powerful command-line tools for parsing JSON and YAML data.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
