From Docker Build to Kubernetes Deploy on Ubuntu: The Image Workflow That Never

<p>When I joined Ericsson's R&amp;D team as an intern, our development environment had a problem that every engineer on the team silently accepted as normal: spinning up a full

<p>"Works on my machine" is one of the oldest jokes in software, and it stopped being funny the first time it cost me a weekend. The code was fine. The environment wasn't. A

<p>A while back I inherited a service whose Docker image was 1.2GB. Pulls were slow, the CI cache was useless, and the deploy step took long enough that people context-switched

<p>There's a delightfully literal answer to "Kubernetes with Docker": <strong>kind</strong> — Kubernetes IN Docker. Each node is a Docker container running a full Kubernetes node

<p>I wanted one clean deployment path for local testing and real cluster rollout, so I packaged the same app for both Docker Compose and Kubernetes (Helm).</p> <p>This post is the

<p>Disclaimer: this is not a post from a seasoned DevOps engineer. So if you also know very little about Kubernetes, ignorance loves company.</p> <p>To start with some (somewhat)

<h2> <strong>Docker Competencies: Part 1/3 (BASIC)</strong> </h2> <p><em>From "I've heard of it" to "I can ship it"</em></p> <p><strong>Task 1: Create a Multi-Stage

<p>If you've ever heard <em>"works on my machine"</em> — containers are the permanent fix to that problem.</p> <h2> TL;DR </h2> <ul> <li>A container bundles your app + libraries +