$ cat post/the-dns-lied-/-the-abstraction-leaked-everywhere-/-the-signal-was-nine.md

the DNS lied / the abstraction leaked everywhere / the signal was nine


Title: Kubernetes Complexity Fatigue: A Personal Reflection


May 24, 2021, was a typical weekday for me. I woke up to the usual morning ritual—brewing coffee, checking my email, and getting lost in a rabbit hole of Slack threads about container images and Helm charts. As an engineer working on Kubernetes clusters at scale, those were the kinds of days that came with the territory.

Today’s problem was particularly gnarly: one of our production environments was experiencing intermittent service disruptions due to unexpected pod evictions. The logs and metrics didn’t immediately point to a clear culprit, so I found myself in front of my monitor, combing through the usual suspects—network policies, resource constraints, liveness probes.

After an hour or so of poking around, something caught my eye: the evictionThreshold for memory pressure was set too aggressively. A quick fix seemed straightforward, but there were whispers in the back of my mind about Kubernetes complexity fatigue. The more I thought about it, the more I felt like I was just scratching the surface.

This wasn’t a new challenge by any means. The rise of platform engineering and internal developer portals (like Backstage) had been a bright spot amidst all this complexity. But as our infrastructure grew, so did the layers between us and the raw metal—or in Kubernetes terms, the layers of abstraction that hid away potential pitfalls.

One evening, I found myself scrolling through Hacker News again—this time with an eye toward the zeitgeist. The story about Ethereum using 99.95% less energy post-merge sparked some interest. But the real gem was the thread on hosting SQLite databases on GitHub Pages or any static file hoster. It made me think: sometimes, the simplest solutions are the best ones.

That night, I lay awake pondering this idea of simplicity. In our world of cloud-native technologies and complex orchestration tools like ArgoCD and Flux GitOps, was it possible to ever really strip away all the noise?

The next morning, armed with a fresh cup of coffee, I tackled the Kubernetes issue head-on. After a few more iterations, I finally found a way to configure our cluster’s eviction thresholds without completely overhauling our entire orchestration strategy. It wasn’t glamorous, but it felt like progress.

As I sat back and watched the changes take effect, I couldn’t help but think about how much our infrastructure had evolved since the early days of Kubernetes. Back then, we were just trying to get containers to work on multiple machines. Now, we’re wrestling with a whole ecosystem of tools and practices that can make or break our operations.

In many ways, it felt like we were fighting a losing battle against complexity fatigue. But in this small victory, I found some hope. Maybe, just maybe, by focusing on simplicity and staying grounded in the basics, we could keep moving forward without getting buried under layers of abstractions.


That’s how it went down that day. A small victory amidst a sea of complexities. And while I couldn’t shake off the feeling of fatigue entirely, at least for now, I felt like I was making progress.