<p>A 1.2 GB image for a service that's a few megabytes of compiled code is one of those things everyone accepts until someone actually looks at it. Slow pulls, slow deploys, a
<p>I run a small AI-photo-prompt gallery — a few hundred prompts, each with an example image. It started as a weekend project and grew faster than the infrastructure did. By the
<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>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 +
<p>When I joined Ericsson's R&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>When I started working with Docker, I made the same <br /> mistake most beginners make — I used the full base image <br /> and copied everything into the container without
<p>Amid all the noise about dockershim, one thing got lost: <strong>the everyday workflow of building an image with Docker and running it on Kubernetes never changed.</strong>
<h1> Preface </h1> <p>I have planned to write a series of articles to understand Docker under the hood and containers. I will start with the Overlay filesystem 🙂, but every
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