I Hate Docker

Someone suggested skipping actual work to spend the next three weeks setting up Docker, configuring WSL, installing the correct Node version, wrestling with environment variables, and debating whether to use yarn or npm. Classic project manager energy—optimizing everything except productivity. You know who they are. They're the ones who think "just set up your environment" is a 20-minute task when it's really a descent into dependency hell that ends with you questioning your career choices at 2 AM because Python 3.11 won't play nice with that one legacy library.

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.

The eternal struggle of software architects: sweating profusely while staring at two buttons that represent opposing architectural philosophies. One promises the trendy complexity of microservices everywhere, the other suggests keeping things simple. Meanwhile, their finger hovers over the microservices button as if drawn by some mysterious force that compels them to overcomplicate everything. Nothing says "enterprise solution" quite like turning a simple CRUD app into 47 independently deployable services that require their own dedicated SRE team.

Welcome to your new kingdom, fresh DevOps hire. That beautiful sunset? That's the entire infrastructure you just inherited. Every server, every pipeline, every cursed bash script held together with duct tape and prayers—it's all yours now. The previous DevOps engineer? They're gone. Probably on a beach somewhere with their phone turned off. And you're standing here like Simba looking over Pride Rock, except instead of a thriving ecosystem, it's technical debt as far as the eye can see. That deployment that breaks every Tuesday at 3 AM? Your problem. The monitoring system that alerts for literally everything? Your problem. The Kubernetes cluster running version 1.14 because "if it ain't broke"? Oh, you better believe that's your problem. Best part? Everyone expects you to fix it all while keeping everything running. No pressure though.

Ah yes, the classic expectation vs. reality of container deployment. In the cloud, your containers are neatly organized on massive infrastructure with redundancy and professional management. Meanwhile, on your poor overloaded Ubuntu laptop, it's just boxes crammed into a car that's one Docker command away from complete system collapse. That feeling when you've got 17 containers running and your fan sounds like it's preparing for liftoff. Your laptop isn't hosting containers—it's being held hostage by them. And yet we keep typing "docker-compose up" like memory is infinite and thermal throttling is just a myth.

So you ditched all your SaaS subscriptions thinking you'd save money, went full self-hosted with a bunch of open-source tools, and now you're paying nearly 5x more in API costs while spending 15 hours a week wrestling with YAML configuration files. Classic engineer move—optimizing yourself right into a worse situation. The real kicker? You thought you were being smart by avoiding vendor lock-in, but now you're locked into being your own DevOps team, infrastructure manager, and YAML therapist. That $420/month was basically paying someone else to deal with all this headache. Turns out "not my problem" has a price tag, and it's way cheaper than $1,990/month plus your sanity. The "adapt or be left" part? Yeah, you adapted yourself right into technical debt and a part-time job you didn't want. Sometimes the old way was the good way.