$ cat post/apt-get-from-the-past-/-i-wrote-it-and-forgot-why-/-disk-full-on-impact.md

apt-get from the past / I wrote it and forgot why / disk full on impact


Title: Debugging the WebAssembly Mystery


May 30, 2022 was just another day in my life as an engineer, except for that nagging issue I’d been wrestling with all week. It started innocently enough—a small feature request from a business unit. “Can we run this piece of code on the server using WebAssembly?” they asked. Simple enough, right? Wrong.

I dove into it, thinking it would be just another day of coding and maybe some late-night debugging sessions. Little did I know that WebAssembly (Wasm) was about to become a full-fledged mystery wrapped in a server-side infrastructure conundrum.

The Initial Setup

Setting up Wasm on our platform wasn’t too bad. We had a few dependencies, but nothing too crazy. I whipped out my trusty Dockerfile and got to work. A couple of hours later, everything was compiling, and I deployed it to one of our staging environments. Success! Or so I thought.

The First Glitch

The first sign that things weren’t as smooth as they seemed came when the application started throwing errors. “Segmentation fault” was the phrase that echoed in my head. I had a vague idea of what it meant but needed to dig deeper. A segmentation fault is usually indicative of a bug, but could there be something more? Was this a Wasm-specific issue?

I spent the next few days pouring over logs and debugging sessions. The issue wasn’t immediately obvious; the crash seemed random at first. But as I looked closer, it became clear that the problem was tied to how we were handling memory allocation in our application.

A WebAssembly Quagmire

One of the biggest challenges with Wasm is its strict memory model. Unlike traditional languages, Wasm doesn’t allow for direct manipulation of the host’s memory. This can lead to some unexpected behaviors if you’re not careful. After a lot of trial and error, I realized that the segmentation fault was happening because our code wasn’t properly handling the boundaries between allocated memory.

I spent hours tweaking the code, trying different approaches. The solution, when it finally came, felt like pulling teeth. We had to refactor our entire memory management strategy to ensure it aligned with Wasm’s strict rules. It involved some heavy lifting and a good bit of frustration, but we eventually got there.

Lessons Learned

This experience taught me several valuable lessons:

  1. Memory Management Matters: Even in the world of cloud-native applications, understanding the intricacies of memory management is crucial.
  2. Debugging Wasm is Different: Tools like lldb and gdb can help, but they don’t always provide clear answers. You have to be prepared for some creative problem-solving.
  3. Documentation and Community Matter: Despite its growing popularity, Wasm still lacks the depth of documentation that languages like Python or Java enjoy. Engaging with the community and reading as much as possible is essential.

The Aftermath

After weeks of work, the feature was finally ready to go live in our production environment. It felt good to see everything running smoothly without any hiccups. However, the lessons from this experience are ones I’ll carry forward into future projects involving Wasm and other new technologies.

In the tech world of 2022, it’s easy to get swept up in the latest trends and lose sight of the basics. This project was a reminder that even with all the advancements, the fundamentals still matter—a lot.


That’s my take on debugging WebAssembly last month. It was a tough but rewarding experience, one I’ll keep in mind as we continue to explore more cutting-edge technologies. Stay tuned for what else is on the horizon!