<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cost-Optimization on Munish Thakur | DevOps Engineer</title><link>https://methakur.info/tags/cost-optimization/</link><description>Recent content in Cost-Optimization on Munish Thakur | DevOps Engineer</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 15 Nov 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://methakur.info/tags/cost-optimization/index.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes Cost Optimization: How I Saved 81% CPU and 68% Memory</title><link>https://methakur.info/blog/kubernetes-cost-optimization/</link><pubDate>Fri, 15 Nov 2024 00:00:00 +0000</pubDate><guid>https://methakur.info/blog/kubernetes-cost-optimization/</guid><description>&lt;p>During my time at Solytics Partners, I was asked to analyze our Kubernetes cluster resource usage. The CFO wanted to know: &lt;strong>&amp;ldquo;Are we wasting money on over-provisioned infrastructure?&amp;rdquo;&lt;/strong>&lt;/p>
&lt;p>Spoiler: We were. By a lot.&lt;/p>
&lt;h2 id="the-investigation">The Investigation&lt;/h2>
&lt;p>I was given access to our pre-production cluster and asked to conduct a comprehensive resource utilization analysis. The goal: identify optimization opportunities without risking service stability.&lt;/p>
&lt;h3 id="the-methodology">The Methodology&lt;/h3>
&lt;p>I wrote a script to collect resource metrics across all namespaces:&lt;/p></description></item></channel></rss>