When Your Docker Image Includes The Whole Kitchen For A Picnic

Ah, the classic startup life where your job description is "everything." Big companies have entire departments managing cloud infrastructure, but at startups? You're not just wearing multiple hats—you're the entire hat factory. Nothing says "we're disrupting the industry" quite like one sleep-deprived developer frantically Googling "how to AWS" at 3 AM while simultaneously being the backend team, frontend team, DevOps engineer, and the guy who fixes the coffee machine. Your LinkedIn says "Full Stack Developer" but your reality is "Full Panic Mode." Bonus points if you've ever uttered the phrase "it works on my machine" to yourself because there's literally no one else to say it to.

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.

Modern infrastructure is like those Russian nesting dolls, except each layer has amnesia about how it got there. First you run whoami to confirm your identity crisis, then whereami reveals you're trapped in containerception—a Docker container inside Kubernetes inside a VM inside a hypervisor inside someone else's datacenter. And when you desperately ask howdidigethere , the system responds with brutal honesty: absolutely zero recollection of the deployment decisions that led to this beautiful disaster. It's cloud computing's version of waking up in Vegas with no memory but a receipt for 17 EC2 instances.

The cloud computing evolution depicted as a cave of lies! At the surface, we've got that ancient PC gathering dust under some desk—you know, the one IT forgot about but somehow still runs your company's critical payroll system. Dig deeper and you find EC2 instances, the "I'm totally in control of my infrastructure" phase. Go deeper still and there's Kubernetes, where DevOps engineers spend 80% of their time configuring YAML files and 20% explaining why everything is broken. And at the very bottom? "Serverless"—the promised land where servers supposedly don't exist, but you're actually just renting someone else's servers while sacrificing all debugging capabilities. The deeper you go, the more you pay for "simplicity" that requires a PhD to understand!

Open source influencers flexing their New Year's contributions like they just bench-pressed the entire internet. "Just casually merged my PR into the Linux kernel at 12:01 AM while you were busy with champagne." Sure buddy, and I bet your code runs on "millions of containers" too. The only thing more inflated than these claims is their ego. Next they'll tell us they invented Git while brushing their teeth this morning. 💪

The classic bait-and-switch of modern infrastructure. You sign up to architect elegant systems with fancy buzzwords like "fault tolerance" and "horizontal scalability," but end up spending 80% of your time fighting with indentation errors in YAML files for Kubernetes manifests. Nothing says "I have a computer science degree" quite like staring at your screen for 45 minutes because you used a tab instead of two spaces on line 217.