Screw You Broadcom

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!

When your boss says "we need to optimize our dependency management" but you misheard it as "Pepsi-dency management." The blue wall of shame is just one caffeine-fueled all-nighter away from becoming a Docker container fortress. At least when the servers crash, you'll have enough sugar and caffeine to keep you awake through the entire incident response. The real question is whether the RGB lighting is powered by Mountain Dew or tears of regret.

Ah, the classic "entry-level" job posting that requires mastery of the entire tech stack universe! The recruiter is essentially asking for a frontend dev (JavaScript/React/Redux), backend engineer (Node/Mongo), and DevOps specialist (Docker/Kubernetes/AWS) all rolled into one human being—at the price of one salary, of course. It's like walking into a restaurant and ordering a 5-star chef, server, and dishwasher combo meal for the price of a single hamburger. The tech industry's expectations have gotten so absurd that we're practically one job posting away from "must have invented time travel and colonized Mars by age 25."

Startup founders building their tech stack like they're preparing for a billion users on day one! 😂 That architecture diagram is the definition of premature optimization - 47 microservices, 23 databases, and enough Kubernetes clusters to host Netflix... all to serve exactly ZERO users. Classic case of "we might need this someday" syndrome while the actual product hasn't even launched! The irony of spending months architecting for theoretical scale when what you really need is your first customer. Talk about putting the cart before 500 horses!

The quintessential DevOps paradox! First panel: angrily complaining there's not enough coding in your job while dreaming of elegant algorithms and beautiful functions. Second panel: absolute terror when faced with actual coding tasks because you've spent the last 8 months writing YAML files and debugging Jenkins pipelines. It's like training for a marathon by exclusively eating energy bars, then being shocked when your legs don't work on race day.

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.