$ cat post/first-loop-i-ever-wrote-/-we-blamed-the-cache-as-always-/-i-wrote-the-postmortem.md
first loop I ever wrote / we blamed the cache as always / I wrote the postmortem
Title: Debugging DevOps: A Tale of Too Many Choices
April 18, 2022 was just another day when I sat down to write a blog post. Yet, as I reflect on that morning, the tech world seemed like a chaotic symphony played out in real time. The era of AI/LLM infrastructure explosion had us all scrambling to adapt, and platform engineering was becoming more mainstream every day. With FinOps breathing down our necks and cloud costs rising, it felt like we were walking a tightrope.
The morning started with me debugging an issue on one of our microservices—something I should have tackled weeks ago but got sidetracked by the latest buzz around WebAssembly on servers. You see, while I was trying to optimize some old code for Wasm, my service kept throwing errors, and I found myself tearing through logs like a madman.
It was frustrating because I had seen similar issues before. Usually, it was due to some subtle configuration or misaligned versions of dependencies. But this time, there was no pattern. The error messages were cryptic, and the stack trace didn’t give me much to go on. After hours of staring at my computer screen like a caveman trying to decipher stone tablets, I finally noticed something odd in the logs: an inconsistent timestamp across multiple services.
Turns out, our logging setup had some timing issues with how it handled UTC offsets. A quick fix later, and my service was running smoothly again. The lesson? Always check for those edge cases before diving deep into code issues.
Later that day, I attended a meeting where we were discussing the latest FinOps tools. Our cloud costs were skyrocketing, and everyone agreed we needed to get more granular in our spending metrics. We talked about integrating with cost management APIs from AWS, Azure, and GCP, but it felt like we were drowning in choices.
One of my colleagues suggested using Cost Management Reports directly within the services themselves to reduce overhead. It was a good idea, but I couldn’t shake off the feeling that this might be another temporary fix. We needed something more robust and scalable, not just band-aids.
That evening, as I wrapped up some work on our platform engineering blog, I came across an interesting article about Twitter’s potential sale to Elon Musk. The sheer scale of the offer made it hard to fathom. It was like a tech-world version of Game of Thrones—full of twists and turns, with everyone trying to position themselves for the next move.
While I didn’t have any insider information, the idea that such a massive deal could happen so quickly highlighted how much flux there is in the tech industry. Companies were still reeling from the impact of AI-driven changes, platform engineering was evolving, and FinOps was becoming more critical than ever.
As I hit save on my blog post, I realized that the challenges we face are just as much about process and organization as they are about technology. We need to keep our platforms flexible enough to handle new tools and services while maintaining robust governance around costs and security.
In short, it’s all about finding balance in a world of endless choices. I’ll keep writing and shipping code, but I’ll also continue learning how to make better decisions when the stakes are high—and not just on my blog, but in real life too.
That was my day, and the tech world around me. Debugging, learning, and reflecting—every bit of it shaping who I am as an engineer today.