July 27, 2020. I woke up with a mix of excitement and dread, as the day promised to be both a high and a low in my world of tech ops.

The high was back-to-back meetings where we were rolling out some exciting new features on our platform using Kubernetes. The low? Well, it wasn’t exactly low, but more like a creeping sense that every feature was becoming harder to implement due to the inherent complexity of managing Kubernetes clusters at scale.

A Tale of Two Days

Let me set the stage. It’s been a couple of months since we started formalizing our platform engineering practices and adopting tools like Backstage for internal developer portals. The idea was to make development more seamless, but there’s always that gnawing feeling that we might be overcomplicating things.

Debugging Day 1

Day 1 began with a call from one of our frontend developers who was having trouble deploying their new feature. They had followed all the steps in our deployment guide (which has 20+ slides) but were getting stuck at some obscure command line error they couldn’t quite parse out.

I spent an hour trying to walk them through it, but every time I thought we were close, another detail threw us off. It turns out that a recent change in our Kubernetes configuration had broken the pipeline, and we hadn’t updated any of the guides or documentation. This is one of those moments where you realize how much technical debt can pile up when everyone is moving fast.

Backstage and eBPF

Meanwhile, I was working on integrating our internal developer portal (Backstage) with some new APIs that required a deeper understanding of Kubernetes services and networking than I had initially anticipated. The portal was looking great so far — clean UI, lots of features, but the under-the-hood complexity is a beast.

I also spent part of the day exploring eBPF for monitoring and tracing. The idea of having fine-grained control over Linux kernel functions without touching actual code was intriguing, but I kept running into issues with setting up proper debugging environments. It’s one thing to read about it, another to actually do it in a production-like setup.

SRE Discussions

In the afternoon, we had a team meeting focused on SRE (Site Reliability Engineering) principles. There was some pushback from our developer community about adopting these practices too quickly without proper education and support. I empathized with them — change is hard when you’re already dealing with tight deadlines.

We spent an hour arguing about the best way to handle feature flags, chaos engineering, and incident response plans. The goal is to make our systems more resilient, but we need to do it in a way that doesn’t overwhelm developers who are already juggling so many other responsibilities.

Late Night Refactoring

By the time I got home, my brain was still churning with thoughts about how to simplify some of these processes. I started refactoring a script that managed Kubernetes deployments and realized I had been overcomplicating it. The original developer intended for this script to be simple but hadn’t documented every step, leading to confusion.

I sat down and re-wrote the whole thing in about 20 lines. It wasn’t perfect, but it was much more straightforward. As I typed away, I couldn’t help but think about how much easier our lives would be if we could just simplify everything down to its core essence.

Reflections

By the end of the day, I felt a mix of satisfaction and frustration. We had made progress on some new features, but the underlying complexity of managing Kubernetes at scale is starting to weigh heavily on us. It’s a classic case of “more tools in the toolbox” leading to more work.

I wonder if there’s ever going to be a point where we can say enough is enough and take a step back. Or maybe it’s just that we’re getting better at dealing with complexity, but still running into it everywhere. For now, I think my focus will be on finding the right balance between doing things properly and making sure we don’t lose sight of simplicity in our quest for robustness.

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Until next time, Brandon