<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kubernetes on ps</title><link>https://yourname.com/tags/kubernetes/</link><description>Recent content in Kubernetes on ps</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Prashant Sharma</copyright><lastBuildDate>Sun, 15 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://yourname.com/tags/kubernetes/index.xml" rel="self" type="application/rss+xml"/><item><title>What Enterprises Get Wrong About Kubernetes</title><link>https://yourname.com/blog/what-enterprises-get-wrong-about-kubernetes/</link><pubDate>Sun, 15 Mar 2026 00:00:00 +0000</pubDate><guid>https://yourname.com/blog/what-enterprises-get-wrong-about-kubernetes/</guid><description>&lt;p&gt;I have been involved in enterprise Kubernetes adoptions for over seven years — first supporting customers at Docker, then designing platforms as a Solutions Architect at Mirantis. In that time, I have watched organizations succeed, fail, and mostly struggle somewhere in the middle.&lt;/p&gt;</description></item><item><title>AI Infrastructure Starts With Platform Engineering</title><link>https://yourname.com/blog/ai-infrastructure-starts-with-platform-engineering/</link><pubDate>Fri, 05 Dec 2025 00:00:00 +0000</pubDate><guid>https://yourname.com/blog/ai-infrastructure-starts-with-platform-engineering/</guid><description>&lt;p&gt;I am not an AI researcher. I do not build models. I do not train LLMs. What I do is build infrastructure platforms — and I have noticed something interesting over the past eighteen months.&lt;/p&gt;</description></item></channel></rss>