<?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 Eric Irwin</title><link>http://ericirwin.io/tags/kubernetes/</link><description>Recent content in Kubernetes on Eric Irwin</description><generator>Hugo</generator><language>en-us</language><managingEditor>Eric.Irwin@gmail.com (Eric Irwin)</managingEditor><webMaster>Eric.Irwin@gmail.com (Eric Irwin)</webMaster><lastBuildDate>Sun, 17 Nov 2024 00:00:00 +0000</lastBuildDate><atom:link href="http://ericirwin.io/tags/kubernetes/index.xml" rel="self" type="application/rss+xml"/><item><title>IDPs For The Rest of Us: Maximizing Impact When You Aren't a Tech Giant</title><link>http://ericirwin.io/posts/idps-for-the-rest-of-us/</link><pubDate>Sun, 17 Nov 2024 00:00:00 +0000</pubDate><author>Eric.Irwin@gmail.com (Eric Irwin)</author><guid>http://ericirwin.io/posts/idps-for-the-rest-of-us/</guid><description>&lt;p&gt;At BackstageCon 2024, I was fortunate to have the opportunity to share how Quantum Metric has maximized the value of its Internal Developer Platform (IDP) by leveraging Backstage. For those who couldn&amp;rsquo;t attend, I&amp;rsquo;ve consolidated the key insights here in written format.&lt;/p&gt;
&lt;p&gt;The presentation can be viewed 
&lt;a href="https://www.youtube.com/results?search_query=backstagecon&amp;#43;2024&amp;#43;quantum&amp;#43;metric&amp;#43;eric&amp;#43;irwin" target="_blank" rel="noopener"&gt;here&lt;/a&gt;
.&lt;/p&gt;
&lt;p&gt;We will cover:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Our journey in rethinking platform strategy and selecting Backstage as our IDP.&lt;/li&gt;
&lt;li&gt;An overview of custom plugins we&amp;rsquo;ve built, highlighting our approach to defining key metrics and validating their impact.&lt;/li&gt;
&lt;li&gt;Key themes and takeaways that have been instrumental for our team and can provide value at any stage of your IDP journey.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="rethinking-our-platform-strategy"&gt;Rethinking our Platform Strategy&lt;/h2&gt;
&lt;p&gt;Quantum Metric enables organizations to understand and prioritize what matters most by capturing real-time customer insights. With a rapidly growing product and customer base, maintaining efficiency and scalability while staying lean has always been a top priority.&lt;/p&gt;</description></item><item><title>Custom Autoscaling for GitLab Kubernetes Executors</title><link>http://ericirwin.io/posts/custom-autoscaling-for-gitlab-kubernetes-executors/</link><pubDate>Mon, 10 Jan 2022 00:00:00 +0000</pubDate><author>Eric.Irwin@gmail.com (Eric Irwin)</author><guid>http://ericirwin.io/posts/custom-autoscaling-for-gitlab-kubernetes-executors/</guid><description>&lt;p&gt;I recently had the opportunity to share some really interesting work that our team at Quantum Metric was doing to improve the performance and reliability of our GitLab CI pipelines.&lt;/p&gt;
&lt;p&gt;The intention of this article is to provide an overview of why and how our team decided to implement our own custom autoscaling for our GitLab CI jobs running on Kubernetes.&lt;/p&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Our engineering organization has evolved significantly over the past three years. We have experienced rapid growth within our teams as well as our customer base and we continue to improve how we are delivering value quickly and reliably to our customers.&lt;/p&gt;</description></item></channel></rss>