<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AWS ECR on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/aws-ecr/</link><description>Recent content in AWS ECR on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 08 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/aws-ecr/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 13: CI/CD Pipeline with GitHub Actions &amp;amp; AWS ECR</title><link>https://ai-blog.noorshomelab.dev/scalable-nodejs-api-platform/13-ci-cd-ecr/</link><pubDate>Thu, 08 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/scalable-nodejs-api-platform/13-ci-cd-ecr/</guid><description>&lt;h2 id="chapter-13-cicd-pipeline-with-github-actions--aws-ecr"&gt;Chapter 13: CI/CD Pipeline with GitHub Actions &amp;amp; AWS ECR&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 13! So far, we&amp;rsquo;ve meticulously built a robust, production-ready Node.js application, complete with a well-structured codebase, comprehensive testing, secure authentication, and a Dockerized environment. In the previous chapter, we finalized our Docker setup, ensuring our application can be consistently built and run across different environments. Now, it&amp;rsquo;s time to automate the process of getting our code from development to a deployable artifact.&lt;/p&gt;</description></item></channel></rss>