<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Platform-Engineering on Anish Bista</title><link>https://anishbista.org/tags/platform-engineering/</link><description>Recent content in Platform-Engineering on Anish Bista</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 11 Jan 2026 15:34:12 +0000</lastBuildDate><atom:link href="https://anishbista.org/tags/platform-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Platform Engineering: How to build green Kubernetes Platform for your business ?</title><link>https://anishbista.org/blog/platform-engineering-how-to-build-green-kubernetes-platform-for-your-business/</link><pubDate>Sun, 11 Jan 2026 15:34:12 +0000</pubDate><guid>https://anishbista.org/blog/platform-engineering-how-to-build-green-kubernetes-platform-for-your-business/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>Note: This is hand written blog . In this blog I will walk through the guide that help to reduce a lots of pain in your infra setup with Kubernetes.&lt;/strong>&lt;/p>&lt;/blockquote>
&lt;p>Let’s understand the problem statement at first. So, development team come up with the bunch of application repo and your task is to deploy that application to Kubernetes but it should be very automated and production ready along with Observability setup. In this blog we gonna discuss about tooling and approach that we will use to build our platform on the top of the Kubernetes. Let’s go through it step by step ….&lt;/p></description></item><item><title>How to Implement Scalable Usage-Based Billing for AI Workloads</title><link>https://anishbista.org/blog/usage-based-billing-for-ai-workloads/</link><pubDate>Fri, 21 Feb 2025 00:00:00 +0000</pubDate><guid>https://anishbista.org/blog/usage-based-billing-for-ai-workloads/</guid><description>&lt;h2 id="introduction">Introduction&lt;a class="heading-anchor" href="#introduction" aria-label="Link to this section">#&lt;/a>&lt;/h2>
&lt;p>Talking about AI – its adoption is increasing multifold and in various forms, we see implementations such as AI Cloud, AI products, AI Agents, Chatbots, and Image and video generation. The global AI market is expected to be valued at approximately $621.19 billion in 2024, with projections indicating it could reach around $1.89 trillion by 2030, reflecting a compound annual growth rate (CAGR) of 20.4% during this period.&lt;/p></description></item></channel></rss>