Today is September 12, 2022. This day marks a time when the tech world was abuzz with changes, both big and small. The acquisition of Figma by Adobe for $20B seemed to underscore a shift in software development tools towards more integrated platforms. Meanwhile, the self-deprecating hacker news post about someone pretending to be me felt a bit too close to home, almost as if my digital persona was playing dress-up.

AI/LLM Infrastructure: A Wild Ride

The past few weeks have seen an explosion of interest in large language models (LLMs) and their infrastructure. Post-ChatGPT, we’ve been knee-deep in discussions about how these systems will change everything—from natural language processing to customer service chatbots. At work, we’ve had our fair share of debates over whether it’s worth investing in more powerful GPUs for LLMs or if sticking with traditional machine learning models is the smarter move.

One recent weekend, I found myself wrestling with a peculiar issue: our internal monitoring tools flagged a spike in GPU usage, but the application logs didn’t show any corresponding increase in traffic. After hours of digging through code and configuration files, it turned out that an older version of TensorFlow was being used in one of our services. Upgrading to the latest version not only resolved the mystery but also unlocked performance improvements.

Platform Engineering: The New Frontier

Platform engineering has become mainstream, with teams adopting practices like continuous delivery and infrastructure as code (IaC) more aggressively than ever before. At my company, we’ve been experimenting with serverless architectures and WebAssembly to reduce operational overhead and improve developer productivity. While the promise of serverless is compelling, it’s also a complex landscape filled with trade-offs.

Recently, I spent some time setting up a new serverless function using AWS Lambda. The process was straightforward enough, but I encountered issues with cold starts and performance variability that required some finagling to optimize. It’s clear that while serverless offers many benefits, there are still significant challenges in managing it effectively at scale.

FinOps and Cloud Cost Pressure

FinOps continues to be a hot topic as companies grapple with rising cloud costs. Our team has been working on better cost management strategies, trying to find ways to optimize resource usage without sacrificing performance. One of the tools we’ve adopted is AWS Budgets, which allows us to set spending limits and receive alerts when we exceed them.

There have been a few close calls where we’ve nearly hit our budget caps, forcing us to scramble to reduce unnecessary costs. It’s a constant balancing act between innovation and fiscal responsibility. The key has been finding the right balance—investing in tools that help us monitor and control spending while still allowing for the flexibility to experiment with new technologies.

Personal Reflections

As someone who has worked through the ups and downs of tech, this period feels like both a rollercoaster and a marathon. The rapid pace of change can be overwhelming, but it also keeps things interesting. Every day brings new challenges and opportunities to learn something new.

One personal highlight was self-hosting my email for 23 years and finally deciding to move away from it due to security concerns and the increasing complexity of maintaining an old system. It’s a reminder that sometimes, letting go can be as important as embracing change.

Looking Ahead

As we head into fall, I’m excited about where the tech landscape will go next. The acquisition of Figma by Adobe is just one piece of the puzzle; there are many more developments on the horizon that could reshape our industry in significant ways. For now, I’ll focus on making steady progress and learning from each challenge.

That’s it for today—another day in the life of a platform engineer amidst a flurry of tech news and personal reflections. Here’s to navigating the ever-evolving world of technology!

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