$ cat post/the-pager-went-off-/-the-interrupt-handler-failed-/-i-kept-the-bash-script.md
the pager went off / the interrupt handler failed / I kept the bash script
Title: Kubernetes Climb and Learning the Hard Way
Today marks the anniversary of a day I’ll never forget. It was May 28, 2018, and we were knee-deep in a Kubernetes cluster rollout at work. The world of infrastructure was shifting rapidly, but it felt like every time you turned around, there was something new to learn or debug.
Kubernetes had been the clear winner in the container orchestration wars, and our team was tasked with migrating our applications from an old VM-based setup to this exciting new platform. We were using Helm to package up our applications, which seemed straightforward at first, but as we dove deeper into the details, it became apparent that there was more to it than just helm install.
One of the key challenges was getting Istio to play nicely with Kubernetes for service mesh capabilities. The idea of a service mesh was intriguing; imagine a layer between your services and the network stack that could handle things like traffic management, security, and telemetry seamlessly. But, as always, reality was more complicated than the diagrams in the documentation.
We spent hours wrestling with sidecars, virtual services, and pilot-waves (a deprecated Istio tool for gradual rollout). The frustration mounted as we hit one wall after another—mostly due to the complexity of Istio’s configuration and our own lack of experience. It felt like every time we thought we had a handle on something, a new bug would pop up.
On that day, I found myself in an endless loop trying to diagnose why certain requests weren’t getting routed properly. The logs were unhelpful, the error messages generic, and the documentation sparse. I spent way too much time staring at a command line hoping for some kind of magic to happen. It’s moments like these that remind you how much there is still to learn in this ever-evolving field.
Meanwhile, outside our bubble, tech news was abuzz with stories about AI and privacy breaches. Google Duplex’s phone call demo left everyone stunned; it sounded so natural! On the other hand, Amazon’s Alexa had accidentally recorded a private conversation and sent it off to a random contact. These real-world examples of cutting-edge technology brought home how far we’ve come, but also highlighted the potential for misuse.
The serverless hype was at its peak too. Every blog post seemed to tout the latest framework or platform as the savior of developer productivity. I couldn’t help but chuckle as I read through them while trying to get our service mesh working. It felt like everyone had forgotten about the basics—like getting your network routing right.
But amidst all this, there was a growing awareness in the industry around GitOps. The idea of using version control for infrastructure configurations resonated deeply with me. We started experimenting with Terraform 0.x (the old version) and found it to be surprisingly powerful once we got our head around how to use modules effectively.
As I looked back on that day, I realized that Kubernetes was just one more tool in the vast arsenal of technologies we had to master. Each new piece added another layer of complexity, but also potential for automation and scalability. The path ahead was clear: we needed to embrace these tools and continue learning as fast as possible.
In the end, after many late nights and some tough debugging sessions, our Kubernetes cluster went live. It wasn’t perfect—there were still bugs and edge cases—but it marked a significant milestone in our journey towards modernizing our infrastructure.
That’s how I remember that day 15 years later (or so). The tech landscape has changed drastically since then, but the lessons we learned about persistence and continuous learning remain relevant.