January 10, 2022. The day began like any other—coffee brewing, emails piling up—but little did I know it would be the start of a week filled with both exhilarating breakthroughs and frustrating challenges.

AI/LLM Infrastructure: The New Reality

ChatGPT was all over tech news that month. It seemed like every conversation about AI landed on the same topic—how LLMs (Large Language Models) were reshaping the landscape. At work, we were already grappling with the implications of such a shift in our infrastructure. How do you build and maintain systems that can handle real-time, conversational queries at scale without breaking under pressure? The conversations were heated; opinions ranged from “let’s build our own LLM” to “maybe it’s too early for us.”

I found myself spending more time on Kubernetes clusters and network latency troubleshooting than I ever had before. Every meeting felt like a negotiation between the excitement of new possibilities and the practical realities of keeping services running smoothly.

WebAssembly: Server Side

WebAssembly was making waves, even in servers. A colleague pushed for us to explore using it in some of our edge computing scenarios. The idea was appealing—lower latency, better performance—but the tech wasn’t ready yet. We ended up spending more time setting up experiments and sandboxes than actually deploying anything useful. It felt like we were a year away from a real solution, but every delay meant more questions about whether it would even be worth the effort.

FinOps and Cloud Costs

Cloud cost pressure was intense. One day, I got pwned by my cloud costs. A single misconfigured autoscaling group caused our AWS bill to spike 50%. The pain of digging through logs and manually optimizing our resources was a stark reminder that managing infrastructure is as much about financial acumen as technical expertise. We started implementing more stringent cost controls and monitoring, but it felt like we were always one mistake away from disaster.

DORA Metrics: A Reality Check

DORA (DevOps Research and Assessment) metrics had become the new gold standard. In a meeting with our team lead, I brought up some of our current numbers—deployment frequency was great, but mean time to recovery (MTTR) was sky high. The conversation felt like a harsh reality check: no matter how many deployments we make, if they break and take forever to fix, it doesn’t really help.

Developer Experience as Discipline

Developer experience (DX) had finally gained mainstream traction. There were endless discussions about tooling, testing, and automation. We started rolling out GitOps practices more aggressively, which helped a lot, but also brought its own set of challenges. Ensuring that everyone was on the same page with all these new tools required constant communication and patience.

The Personal Struggle

It wasn’t just about work though; it was also personal. Between managing projects, learning new technologies, and navigating company politics, I found myself exhausted. There were nights where the weight of it all felt like too much to bear. But that’s part of being an engineer in 2022—it’s a constant struggle between dreaming big and making sure those dreams don’t turn into nightmares.

Reflections

As 2022 began, I was filled with a mix of excitement and anxiety. Excitement about the future, but also anxiety over the current state of things. It felt like every day brought new challenges and new questions. But that’s what makes this field so exciting—the constant evolution, the endless opportunities to learn and grow.

For now, I’ll take this chaos as a sign that we’re on the right path. The journey ahead is sure to be full of twists and turns, but I’m ready for it. Here’s to 2022—let’s make it count!