$ cat post/memory-leak-found-/-that-script-still-runs-somewhere-deep-/-we-were-on-call-then.md
memory leak found / that script still runs somewhere deep / we were on call then
Title: On the Brink of Open Source: Debugging a LAMP Stack in 2004
October 11, 2004. I woke up to another day with the sun rising over Silicon Valley, casting long shadows on my desk. The tech world was abuzz with excitement and change, but for me, it was just another day of diving into bugs.
Today, we’re going to ship a critical feature for our web application. It’s been a challenging month—bug fixes, performance tweaks, and some late nights. But there’s an air of optimism in the air as open-source tools continue their march forward, especially with the rise of the LAMP stack (Linux, Apache, MySQL, PHP).
The Setup
We’re using a standard LAMP setup: Ubuntu Linux, Apache 2, MySQL, and our own custom PHP application. Everything seems to be running smoothly until we start getting reports of occasional crashes. The logs are cryptic; there’s no clear error message or stack trace. It feels like the kind of mysterious problem that makes your hair stand on end.
Digging into the Logs
I pull up the Apache error log, hoping for some clues. It’s filled with messages about timeouts and memory issues. I suspect our PHP application is eating too much memory or taking too long to process requests. The first step is to run top in a terminal to see if any processes are hogging resources.
Sure enough, there it is—a single instance of Apache consuming over 90% of the available memory. It’s clearly not something we can ignore; users will start noticing slower response times and eventually crashes. Time for some investigation.
Memory Profiling
I decide to use Valgrind, a popular tool at the time, to profile our PHP application. The idea is simple: instrument the code with memory checks to see where things go wrong. I spend hours setting up Valgrind, making sure it’s configured correctly and that it won’t interfere with our production environment.
After a few runs, the results are clear: there’s a memory leak in one of our critical functions. This function is responsible for processing large amounts of data from user input, and over time, it accumulates more and more memory until the system crashes. I feel a mix of frustration—how could we miss this?—and relief that Valgrind helped pinpoint the issue.
Patching and Testing
The next few days are spent crafting a patch to fix the memory leak. It’s a tricky problem because we need to ensure the application remains performant while fixing the memory issues. I work closely with our development team, reviewing each line of code to make sure nothing else is affected by the changes.
Once the patch is ready, it goes through extensive testing—unit tests, integration tests, and finally some manual load testing. We want to be as certain as possible that we’re not introducing new bugs or breaking existing functionality.
Deployment
Finally, the day arrives for deployment. I spend a few hours doing pre-deployment checks, ensuring everything is backed up and ready. When it’s time to push the changes live, there’s a mix of excitement and nerves. We’re making significant changes that could affect our users, so we need to be sure.
The first few minutes are tense as we monitor the logs for any signs of trouble. Then, slowly but surely, things start stabilizing. Users begin reporting no issues, which is a huge relief. The hard work paid off—we fixed the memory leak and improved overall stability without introducing new problems.
Reflections
Looking back on this experience, I realize how much has changed since 2004. Back then, tools like Valgrind were powerful but not yet mainstream. Today, we have even more sophisticated profiling and debugging tools at our disposal. But the fundamentals remain the same: understanding your systems deeply, using data to guide your decisions, and never underestimating the complexity of real-world problems.
This month also marks the beginning of a new era in web development with the rise of open-source frameworks like Django and Ruby on Rails. The sysadmin role is evolving rapidly—more scripting, more automation, less manual configuration. I’m excited about where this will take us but also a bit nostalgic for the simplicity of those early days.
As I type these words, I wonder what challenges await in the future. But one thing is certain: we’ll face them with the same determination and problem-solving spirit that got us through 2004.
This entry captures a moment in time where open-source was on the rise, tools like Valgrind were becoming more common, and the sysadmin role was shifting towards scripting and automation. It also reflects on the personal experience of debugging a critical issue and the broader technological changes happening around us.