Docker Compose Illustrated

The classic "it works on my machine" defense just got absolutely demolished by reality. Developer's smug confidence about their local environment immediately crumbles when the PM suggests the obvious solution—just ship your whole setup to production. What's beautiful here is how the developer instantly pivots from "works perfectly" to demanding reproducible steps. Translation: "Please don't make me admit I have 47 environment variables hardcoded, a specific Node version from 2019, and three random npm packages installed globally that I forgot about." The PM's response is pure gold because it exposes the fundamental problem—if you can't explain WHY it works on your machine, you haven't actually fixed anything. You've just found a configuration that accidentally works. Docker was invented specifically because of conversations like this.

That special moment when you've convinced yourself that rebuilding Kubernetes from scratch is a perfectly reasonable use of company time. Meanwhile, your coworkers are staring at you with that unique blend of horror and fascination reserved for watching someone volunteer to dig their own grave with a spoon. Building K8s from scratch during standup is the DevOps equivalent of saying "I think I'll climb Everest this weekend" while wearing flip-flops.

The ultimate parent-child relationship of our time: CPU interrogating Docker about its resource consumption. Based on the children's rhyme "Johnny Johnny Yes Papa," this meme captures the eternal deception between Docker containers and system resources. Docker swears it's not hogging RAM, but the final panel reveals the cold, hard truth: 9.06 GB of memory consumed by a single container. The CPU might as well ask, "Where did all my gigabytes go?" while Docker sits there with the computational equivalent of chocolate all over its face. Every DevOps engineer knows that feeling when Docker promises to be lightweight and then proceeds to eat resources like they're free samples at Costco.

When your containers die but Kubernetes just keeps resurrecting them! 💀⚰️ The comic perfectly captures that feeling when you're trying to debug why your app is crashing, but Kubernetes is like that overprotective parent who won't let their child experience failure. "Is it dead? WHO KNOWS?!" Meanwhile, Kubernetes is frantically spawning replacements before you can even check the logs. Self-healing infrastructure is great until you're desperately trying to kill something that refuses to stay dead! It's like fighting zombies in a container graveyard!

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.

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.