$ cat post/memory-leak-found-/-the-orchestrator-chose-wrong-/-no-rollback-existed.md
memory leak found / the orchestrator chose wrong / no rollback existed
Title: Kubernetes: A Week in My Life
June 5, 2017. It’s been a week since I started diving into Kubernetes, and it feels like the universe has been slowly spinning me around this one topic. Let’s be real—container orchestration is the new kid on the block, and everyone wants to know what it can do for them.
The Setup
I’ve been working with Docker for years now, but as we scaled our applications at my current company, I started feeling the pain points. Multiple environments, versioning issues, scaling woes—Docker alone wasn’t cutting it. Kubernetes came in like a savior, promising to solve all these problems.
Week 1: The Dive
Day 1: I installed minikube and set up a basic cluster on my Mac. Setting up the environment felt like trying to tame a wild beast—I spent more time wrestling with kubeconfig files than actually learning about Kubernetes itself. But, hey, at least it works.
Day 2-3: Time for some serious reading. The documentation is a mixed bag—some sections are thorough and well-written, while others feel a bit like they were written in a hurry. I spent most of my time on the kubectl commands, trying to understand the basics. “Apply” was one of those verbs that felt both magical and terrifying.
Day 4-5: The real work began. We started migrating our applications into Kubernetes pods and services. It was like watching a caterpillar struggle out of its cocoon—it took time, patience, and lots of retries. I found myself debugging YAML files more than anything else. “Well,” I thought to myself, “at least the syntax is similar to JSON.”
The Debugging Saga
One particularly annoying day, our app kept failing to start up properly in Kubernetes, giving us an error that was cryptic at best. After a few hours of digging through logs and trying different configurations, it turned out we had accidentally set livenessProbe wrong. It was supposed to be a simple health check, but instead, it was trying to execute something that didn’t exist. A classic case of the “it works on my machine” problem, but with Kubernetes.
The Helm Into
As I got more comfortable with the basics, we started exploring Helm charts. Helm is like the Swiss Army knife of Kubernetes—useful for managing and deploying applications. But it’s also a bit overwhelming, given its extensive feature set. We decided to start small, using some pre-built templates from the community.
The Community Hype
Talking about Kubernetes on Slack or Reddit feels like entering a war zone where everyone has an opinion. “Helm is better than kubectl!” “I love kubedns over service discovery!” These debates can get heated fast. But in the end, it’s all just a matter of preference and context.
The Future
As much as Kubernetes sounds exciting, there’s still a lot to learn. I’m particularly interested in how we integrate Prometheus for monitoring and Grafana for visualization. The idea of GitOps—using version control for infrastructure configuration—is intriguing but also a bit scary. Will I have to version control my entire cluster? Just thinking about it gives me cold sweats.
Lessons Learned
This week has been a rollercoaster. Kubernetes is powerful, no doubt, but there’s a learning curve. It’s not just about running containers anymore; it’s about orchestrating the infrastructure that supports them. And with all these tools emerging—Helm, Istio, Envoy—the landscape feels like it’s moving faster than ever.
But hey, at least I have some pretty cool stories to tell my coworkers over lunch. Maybe one day, Kubernetes will become as second nature as Docker is now. Until then, I’ll keep debugging and arguing until the dawn of a better world comes.
So there you have it—Kubernetes: A Week in My Life. What do you think? Is this the future, or am I just chasing a trend?