Docker Pull Is Superior

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.

The eternal architectural debate visualized with poop emojis. One massive monolith that's smiling confidently versus a scattered army of tiny microservices. The joke here is that both approaches can either be elegant solutions or complete crap depending on your team's competence. Nothing says "enterprise architecture" quite like discussing serious technical decisions with cartoon feces.

Ah, the classic "read everything but build nothing" syndrome! This poor soul has gone down the documentation rabbit hole, consuming every tech manual from Java to Kubernetes without writing a single line of actual code. It's like studying the theory of swimming for years without ever getting wet. The tech stack resume is impressive enough to land a senior position, but ask them to print "Hello World" and suddenly they're experiencing an existential crisis. Reading documentation is like watching cooking shows - it doesn't make you a chef until you burn something in the kitchen a few times.

The DevOps engineer's face says it all. Asking for zero downtime during a cluster migration is like asking for a unicorn that poops rainbows and speaks JavaScript. Every sysadmin knows that unholy trinity: fast, reliable, cheap—pick two. But management always wants all three, plus a cherry on top. The Galactus reference is perfect because migrating Kubernetes clusters without downtime isn't just difficult—it's cosmic horror territory. You're essentially performing heart surgery while the patient runs a marathon.

That baby's face is the exact expression of someone who just found out they're destined for a life of debugging YAML indentation errors and explaining to management why "just adding one more pod" isn't going to fix everything. Poor kid hasn't even mastered object permanence yet, but Dad's already planning his future of midnight alerts because some microservice decided to spontaneously combust. The baby knows what's coming—that's the face of someone who already understands that "it works on my machine" will be the most frustrating phrase in his vocabulary. Welcome to existence, kid. Your inheritance is a cluster of problems.

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.