$ cat post/the-swap-filled-at-last-/-we-ran-it-until-it-melted-/-config-never-lies.md

the swap filled at last / we ran it until it melted / config never lies


Title: Kubernetes: A Sudden Love Affair


August 10, 2015 was just another Wednesday for me, sitting in our small conference room at work. The buzz around Docker containers had been building for a while, but the new kid on the block, Kubernetes, was making everyone sit up and take notice.

We were running Docker containers in production at scale, and I couldn’t shake off this nagging feeling that we needed something more. Enter Kubernetes: Google’s answer to managing containerized applications with ease. The tech team had been quietly discussing it over Slack channels, but no one seemed quite ready to jump in headfirst just yet.

I remember the first time I opened a Kubernetes cheat sheet on GitHub and tried to understand the architecture. Pods, services, replication controllers—it was overwhelming at first. But as I dove deeper into the documentation and watched some of the video tutorials, something clicked. Suddenly, I wasn’t just managing containers; I was orchestrating them.

One day, we decided to give Kubernetes a try for our next project. We spun up some clusters on Google Compute Engine and started deploying services. The initial setup was a bit of a mess—permissions were all over the place, and the cluster kept crashing due to misconfigured resources. But as I debugged these issues, something strange happened: I found myself enjoying the process.

Debugging Kubernetes can be a challenge. You’re essentially trying to manage stateful systems through a highly dynamic environment. We’d encounter things like deadlocks in our replication controllers or services that wouldn’t properly route traffic. It was frustrating at times, but solving these problems felt incredibly rewarding. Each fix was like untangling a knot in a big, messy hairball.

One of the most significant arguments we had revolved around whether to use Kubernetes’ built-in load balancers or stick with our old HAProxy setup. The argument went back and forth for weeks before we finally settled on a compromise: using Kubernetes as the primary scheduler but integrating it with HAProxy for better control over network traffic.

Another day, I found myself in the middle of an intense discussion about how to handle rolling updates without downtime. We were trying to ensure that our services could be updated seamlessly while maintaining high availability. The idea of using a statefulSet controller to manage this process was a game-changer, but it required careful planning and testing.

Looking back, I’m glad we took the leap with Kubernetes. It taught us a lot about container orchestration and how to build resilient systems. While there were definitely growing pains, the benefits of automation and better resource utilization far outweighed the initial challenges.

That day in August 2015 marked the beginning of my journey into the world of Kubernetes. I remember thinking, “This is it.” It felt like a significant moment in our team’s history—embracing this new technology meant not only modernizing our infrastructure but also embracing change and continuous improvement.

Kubernetes became more than just another tool; it was an exciting adventure that shaped how we approached DevOps at work. And while the road ahead with Kubernetes is still bumpy, I can’t wait to see where this journey takes us next.


And so, my sudden love affair with Kubernetes began.