$ cat post/compile-errors-clear-/-i-typed-it-and-watched-it-burn-/-i-typed-it-by-heart.md

compile errors clear / I typed it and watched it burn / I typed it by heart


Title: April 10, 2023: Reflections on the Current State of DevOps and Infrastructure


Today marks a bit over two months since ChatGPT blew up the AI/ML world. It feels like yesterday I was trying to figure out how to tame some unruly Kubernetes clusters in my day job. Now, the entire industry is abuzz with LLMs, FinOps pressure, and DORA metrics marching hand-in-hand.

Debugging a Real-world Wasm Problem

One of the more challenging bugs I ran into recently involved WebAssembly (Wasm) on the server side. We were seeing unexpected crashes in our production environment, and it was tough to pinpoint the exact issue since there’s not as much debugging tooling available for Wasm compared to native code. After countless hours of tracing back execution paths, profiling memory usage, and hunting down obscure error messages from logs, I finally narrowed it down to a race condition in one of our asynchronous Wasm workers.

The key realization came when I noticed the same crash pattern was present on both the staging and production environments but not consistently replicable. Turns out, the issue was related to a particular network latency threshold that was causing some requests to be processed out of order. Once we added some synchronization primitives and made our code more resilient to this kind of variance, the crashes vanished. It’s always a relief when you finally find the root cause after so much hair-pulling.

The DevOps of Self-Built Tools

On the Ask HN thread about interesting tech built for personal use, I thought back on some of my own pet projects over the years. One that stood out was a simple, self-hosted Git server we built using Gitea and Docker Swarm. Back in 2017, when cloud storage was still not as ubiquitous or cost-effective, this was a game-changer for our team. It allowed us to version control all our projects locally and cut down on bandwidth costs significantly.

Now, with the rise of managed services like GitHub Enterprise and GitLab, it’s much easier to set up something similar. But there’s something satisfying about having full control over your tools, even if that means dealing with some extra configuration hassles. Plus, who knows when you might need a custom solution down the line?

Cloud Cost Pressure and FinOps

FinOps has been a hot topic lately, and our team is no exception to the cloud cost pressure. We’re constantly looking for ways to optimize costs while maintaining performance. One recent initiative involved rearchitecting some of our microservices to be more efficient in terms of memory usage. This required diving deep into the codebase, profiling different components, and tweaking configurations until we got a good balance between performance and cost.

Another tactic we’ve adopted is to carefully monitor and cap certain services based on usage patterns. For example, we set up alerts for CPU spikes that could indicate suboptimal resource allocation or misbehaving services. This has helped us avoid runaway costs while still ensuring our applications remain responsive under heavy load.

The Future of Developer Experience

Developer experience (DX) is increasingly becoming a first-class citizen in platform engineering. One project I’m excited about involves integrating an open-source LLM like StableLM into our internal developer tools. We’re exploring how AI can help with code completion, documentation generation, and even static analysis feedback. While there are still some kinks to work out (like handling large codebases or ensuring model accuracy), the potential benefits could be significant for both productivity and code quality.

Conclusion

As I reflect on this month, it’s clear that we’re living in an exciting but challenging time. The tech landscape is evolving rapidly, with new tools and trends emerging almost daily. From Wasm to LLMs, the opportunities are endless, but so too are the potential pitfalls. Staying agile and adaptable is key—not just for dealing with these changes but also for building robust, maintainable systems.

For now, I’m going to take a deep breath, grab a cup of coffee, and get back to debugging. Maybe I’ll even find another interesting bug to tackle today!


This post represents my current thoughts on the state of DevOps and infrastructure as of April 10, 2023. It’s not polished, but it captures the essence of what we’re grappling with in this fast-paced tech world.