Fixed Docker Build

The silent panic that washes over your face when someone innocently asks about your development costs while your significant other is within earshot. That moment when you've spent $300 on Docker containers, $200 on cloud services, another $150 on dev tools, and somehow convinced your partner it was "just a small hobby expense." The death glare says it all – you're about to experience what developers call a "relationship runtime error."

Jumping into DevOps without Linux fundamentals is like trying to swallow those giant horse pills without water. Trust me, I've watched countless "Docker experts" crash and burn because they couldn't troubleshoot a basic shell script. The title "Also Git" is perfect - because Git is another one of those deceptively simple tools that will absolutely wreck your week when something goes wrong. Nothing quite like the cold sweat of a botched rebase on production code at 2AM. Been there, broken that.

Ah, the classic Docker bloat syndrome. Why create a svelte 50MB image with just what you need when you can ship a 2GB monstrosity that includes three Linux distros, a complete JDK, and somehow Visual Studio? The "minimal container" is just a theoretical concept developers tell themselves exists while they casually add another layer with "just one more dependency." By Friday, your microservice needs its own ZIP code.

The classic management dilemma: "Let's hire a DevOps person" without understanding what DevOps actually is. Six months into the project, you're nodding along in meetings while secretly Googling "what is CI/CD pipeline" under the table. Meanwhile, your infrastructure is held together with duct tape and prayers, but asking basic questions now would reveal you've been faking competence this entire time. The technical debt compounds faster than your actual debt.

OH MY GOD, PARENTS BEWARE! Your precious little angel might be secretly battling the horrors of Kubernetes! 😱 The signs are UNMISTAKABLE: constant computer usage (because those pods won't deploy themselves), violently headbutting walls (when the YAML indentation is off by ONE SPACE), worshipping at the altar of Kelsey Hightower (the Kubernetes GURU), and the most terrifying symptom of all — thinking they can solve EVERY SINGLE PROBLEM with "a controller." This is what happens when DevOps consumes your soul! Next thing you know, they'll be muttering "stateful sets" in their sleep and drawing little container diagrams on their bedroom walls. INTERVENTION REQUIRED IMMEDIATELY!

You know that beautiful moment when your code runs flawlessly on your machine? All tests passing, no errors, pure bliss. Then you ship it to a colleague or deploy it to production and suddenly it's like you've summoned a demon from the depths of dependency hell. The existential crisis hits hard when you realize their Python version is 0.0.1 different, they're missing that one obscure system library you installed three years ago and forgot about, or—plot twist—they're running Windows while you've been vibing on Linux this whole time. Suddenly you're the bear at the laptop, gesturing wildly trying to explain why "works on my machine" is a perfectly valid defense. Docker containers exist for this exact reason, but let's be honest—we all still ship code with a silent prayer and hope for the best.