$ cat post/a-shell-i-once-loved-/-the-network-split-in-the-night-/-we-were-on-call-then.md

a shell I once loved / the network split in the night / we were on call then


Title: Kubernetes vs. My Sleeping Laptop


March 7, 2016 was a Thursday. I woke up to the usual morning emails and started my day as any other. But this particular morning, I had a mission: to get our team’s Kubernetes cluster up and running. I mean, it was 2016, and everyone knew that Kubernetes was going to save us all from the whims of Docker Swarm. Or so they said.

I spent hours yesterday setting things up on my personal machine. The theory seemed simple enough – a few commands here, some YAML there. But when I tried to deploy our application on the cluster, it failed miserably. My laptop’s screen was now a war zone of red and yellow Kubernetes errors, each more cryptic than the last.

I started debugging by looking at the logs. Oh boy, did they ever need fixing. The kubectl command-line tool was giving me an error about missing contexts—context, it didn’t even have the time to think about what a context actually meant in this context. I scrolled through the logs trying to decipher the magic words that would make everything work.

Meanwhile, my colleague, Sarah, had been struggling with her own cluster setup. She texted me: “Why do we even need Kubernetes anyway? Can’t our app just run on one machine?”

Her question hit home. It was true, why did we need another layer of complexity? But as a platform engineer, I had to convince myself that this was the way forward.

I decided to take a break and grab some coffee from the office kitchen. The smell of fresh brew filled the air. As I sat down at the communal table, my eyes fell on an article in Hacker News about Ubuntu on Windows. It seemed so relevant then, like maybe the future really did involve running Linux on anything with an Internet connection.

Back to work, I tried a different approach: I checked out Helm, the package manager for Kubernetes. It promised to make managing applications easier by abstracting away some of the complexity. With Helm charts, our application could now be deployed in just a few steps. I thought, maybe this would finally get me over the hump.

Sure enough, after a couple more tweaks and a good amount of swearing (which is always entertaining), my cluster was up and running with our app. Sarah came by to see if she had any luck on her setup. She gave it a quick look, shook her head, and said, “Looks like we found the secret sauce here.”

We high-fived each other, feeling accomplished despite the initial frustration. As I closed my laptop, I couldn’t help but think about how much simpler things used to be—before Kubernetes, before all these tools and abstractions.

But that’s what life as a platform engineer is like: always learning, adapting, and sometimes just trying to get stuff to work. And in 2016, it seemed like the world was full of new technologies and challenges waiting for us to conquer them.

Next time I faced this issue, I would definitely have some better tools at my disposal, but for now, Kubernetes was a win, even if only because I could finally close my laptop without seeing that damn error message staring back at me.