Title: Kubernetes Frenzy and the Cat Feeding Machine

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December 19, 2016 was just another day in the tech world that seemed to be dominated by Kubernetes. The container wars were heating up, and everyone I knew was either jumping on board or desperately trying not to get left behind. Helm, Istio, Envoy—all these new tools were popping up like weeds in a garden. GitOps was still a whisper, but Prometheus + Grafana had started to replace Nagios as the de facto monitoring tools for many teams.

I was working on our platform engineering team at the time, and we were deep into evaluating Kubernetes and its ecosystem. Our CTO had just announced that we would be moving all of our microservices to Kubernetes in the coming months, which meant a lot of changes lay ahead. The first step was getting everyone up to speed with Helm, but it turned out that version 0.x was not exactly stable yet. We spent weeks wrestling with broken charts and misconfigured deployments.

On one fateful afternoon, I found myself staring at a particularly gnarly Kubernetes deployment failure in our staging environment. “This can’t be right,” I muttered to myself as I stared at the endless stack traces. “How could this have happened?” My heart raced as I tried to figure out what went wrong. Was it some obscure Helm bug? A misconfiguration on my part? Or something more sinister?

In the end, it turned out to be a simple typo in one of our environment variables that was causing a cascade of failures. I remember feeling like an idiot for missing such a basic thing, but at least we had identified and fixed the issue before pushing it into production.

As I sat back and took a breath, I couldn’t help but think about how much work there still was to do. Our platform engineering team had a lot on our plates—moving all of our services to Kubernetes, setting up a CI/CD pipeline, and ensuring we had robust monitoring in place. But that wasn’t the only thing keeping me busy.

On my desk sat the plans for what seemed like an outlandish project: building a cat feeding machine. Inspired by stories I’d read on Hacker News about DIY cat feeders, I decided to give it a shot. It was supposed to be a fun little side project, but as always, things were more complicated than they seemed.

I started with some basic sketches and quickly realized that creating an automated feeding system for our cats would require integrating multiple sensors, actuators, and maybe even some Raspberry Pi magic. The idea was to use motion detection to trigger the feeding mechanism only when our cats approached their bowls. It sounded simple enough on paper, but implementing it required a lot of trial and error.

While I spent most of my days dealing with Kubernetes clusters and Helm charts, at night I found myself wrestling with GPIO pins and learning the nuances of Python programming for this side project. It was a welcome break from the day-to-day challenges of platform engineering, and who knows, maybe it would even prove useful one day if we needed to monitor hardware states or perform some other task.

Speaking of which, the Hacker News stories about Amazon Go and OpenAI Universe were making my head spin. The idea that physical retail stores could be transformed into a seamless shopping experience was fascinating, but also a bit unsettling. On the other hand, the thought of AI-driven environments like OpenAI Universe brought both excitement and fear—excitement for what new possibilities it might offer, and fear about how rapidly technology was advancing.

That evening, as I wrapped up my work on the cat feeder project (which, by the way, still wasn’t fully functional), I couldn’t help but think about all that had happened in tech this year. The Kubernetes frenzy, the emergence of Helm and Envoy, the rise of serverless architectures like AWS Lambda—every day seemed to bring new challenges and opportunities.

As I closed my laptop for the night, I wondered what 2017 would bring. One thing was clear: our platform engineering team had a lot on our plate, but we were ready to face whatever came next. After all, that’s what engineers do—adapt, innovate, and push the boundaries of what’s possible.

And maybe, just maybe, along the way, we could even find time to build an awesome cat feeder.