$ cat post/kubernetes-complexity-fatigue-hits-home.md

Kubernetes Complexity Fatigue Hits Home


January 18, 2021. It’s a cold morning in the Midwest and I’m feeling like I need to break up with Kubernetes—again.

You see, Kubernetes has been my sidekick for years now. It’s become as much of a crutch as it is an enabler, but lately, it feels like I’ve developed Kubernetes fatigue. Every day is another battle with YAML files, secrets management, and keeping the cluster in tip-top shape. But here’s the thing: without Kubernetes, what are we supposed to do? It’s just so complex.

The YAML Files

Every time a new feature needs deploying, I’m stuck staring at a wall of YAML. Sure, Helm makes it easier, but every project has its own quirks, and that means hours spent tweaking charts until they work as intended. It’s like trying to assemble IKEA furniture when you only have a hammer.

Secrets Management

Then there’s the secrets management nightmare. Everyone keeps telling me about all these fancy tools—Vault, HashiCorp Consul, AWS Secrets Manager—but setting them up feels like climbing an Everest. I’ve tried multiple times over the years, and each time it feels like I’m just adding another layer of complexity without a clear return on investment.

Keeping It Healthy

And then there’s keeping the cluster healthy. Pods restart? Deploy new version? Check logs? Update image tags? And what about those pesky taints and tolerations? Every morning starts with a quick check, but by midday, I’m buried in endless fires.

Learning and Unlearning

Oh, and let’s not forget the never-ending learning curve. Kubernetes 1.20 came out just last week (it felt like yesterday), and it brought yet another set of changes. I’ve spent more time reading documentation than actually writing code. It’s like trying to catch a moving target with a net that keeps changing.

Remote-First Infrastructure

On the plus side, remote-first infrastructure is making some things easier. I can log in from home or my coffee shop just as easily as from the office. But it also means more responsibility for keeping everything running smoothly. There’s no one to blame when something goes wrong; it’s all on me.

ArgoCD and Flux GitOps

ArgoCD is slowly starting to make sense, and I’ve been using Flux for a while now. They both promise declarative and automated management of the cluster state, which sounds great in theory but can be frustrating in practice. Setting up CI/CD pipelines for Kubernetes deployments still feels like hitting a wall every time.

The Robinhood Controversy

Last night, while scrolling through Hacker News, I saw the story about Robinhood limiting trades on GameStop and AMC stocks. It’s fascinating how quickly markets react to news, but it made me think: in our rush to automate everything, have we lost sight of human judgment? Kubernetes can handle a lot, but sometimes you just need someone to step in and make a decision.

Conclusion

So here I am, writing this blog post in the hopes that someone else out there is feeling the same way. Kubernetes has been a powerful tool, no doubt about it, but maybe we’re overcomplicating things. Or perhaps I’m just being a grumpy old engineer who doesn’t want to learn new tools.

For now, I’ll keep using Kubernetes and hoping for a simpler future where managing a cluster isn’t quite as daunting. If anyone has any tips or tricks, let’s share them!