<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>"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>"I don't understand, it literally works perfectly on my machine!" </p> <p>Every developer has uttered this phrase. It usually happens right after a deployment brings down the
<p>We've all heard this saying before.</p> <p>We've all seen the memes.</p> <p>Maybe we've actually said this before in our day to day work when someone says something isn't
<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>
<p>You spend hours building a feature, everything runs perfectly on your laptop, and you proudly push your code. Then a teammate pulls it… and suddenly nothing works.</p>
<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
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