I Hate Docker

Oh sure, Apple devs, tell me again how it's just a "small memory leak in edge cases." Meanwhile, Calculator is out here PAUSED and still consuming 90.17 GB of RAM like it's trying to calculate the exact number of ways I've been betrayed by my IDE. IntelliJ IDEA is also paused and casually munching on 4.86 GB because apparently even when it's sleeping, it dreams in memory consumption. Docker Desktop? A modest 2.67 GB. PyCharm? Another 2 GB. Clock app using 82 MB just to... tell time? The real tragedy here is that your entire system is having a full-blown existential crisis, throwing up a "Force Quit Applications" dialog like a white flag of surrender. When opening your browser history tab counts as an "edge case" that brings your Mac to its knees, maybe—JUST MAYBE—it's not so small after all. But sure, keep gaslighting us about those "edge cases" while our machines literally run out of memory just existing.

Remember when 4GB of RAM was considered luxury? Then 8GB became the standard, and now we're at that beautiful inflection point where 16GB is becoming the new baseline. This meme captures that gossip-worthy moment when someone casually drops that they've got 16 gigs of memory. By 2026, having 16GB RAM will be as unremarkable as having opposable thumbs. Chrome tabs will still eat it all for breakfast, Electron apps will continue their RAM-hogging traditions, and Docker containers will party like it's unlimited memory. But right now? Right now it's still flex-worthy enough to whisper about. The real kicker is that by the time 16GB becomes truly standard, we'll all be whispering about 32GB like it's some kind of sorcery. Moore's Law might be slowing down, but RAM requirements? Those are accelerating faster than a memory leak in production.

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.

Government cybersecurity out here flexing like they're ready to take on any threat, batting away script kiddies like flies at a picnic. Meanwhile, some random homelabber who spent their weekend setting up a Raspberry Pi cluster and learning Kubernetes for fun has achieved FINAL FORM and ascended to godhood. The homelabber's cybersecurity setup is so absurdly overpowered it makes government infrastructure look like a toy. We're talking VLANs, firewalls, intrusion detection systems, zero-trust architecture, and probably a custom-compiled kernel because why not. All protecting... what exactly? Their Plex server and a collection of Linux ISOs? The dedication is absolutely unhinged and we love it. Turns out when you're spending your own money and actually care about learning, you build Fort Knox. When it's a government contract with the lowest bidder... well, you get Windows XP running critical infrastructure in 2024.

The four horsemen of developer excuses, all deployed when your code mysteriously stops working in production. Option D is the programmer's equivalent of shrugging while slowly backing away from responsibility. "Works on my machine" has launched more Docker containers than any sales pitch ever could. The real answer should be E: "Let me check the logs and get back to you in 3-5 business days while I panic internally and question my career choices."

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!