$ cat post/ps-aux-at-midnight-/-we-scaled-it-past-what-it-knew-/-config-never-lies.md

ps aux at midnight / we scaled it past what it knew / config never lies


Title: March 15, 2004 - A Day in the Life of a Sysadmin


March 15, 2004. It feels like I just started writing this blog post, but looking back now, it’s already been more than 17 years. Back then, we were on the cusp of something big—Web 2.0 was starting to take shape, and open-source tools were everywhere. The sysadmin role was evolving rapidly too; scripting and automation were becoming key skills.

Today, I woke up early as usual, with the smell of coffee still lingering in the air from last night’s late-night coding session. My day started like any other, but it quickly turned into a whirlwind of debugging, meeting, and argument.


The Debugging Session

Around 9 AM, our monitoring system alerted me to a critical issue on one of our servers running Apache and MySQL. The server was under heavy load, and the CPU usage had spiked way over normal levels. I knew we needed to get this sorted quickly to avoid any downtime or performance issues for our users.

I logged into the server via SSH and started digging through the logs. After a few minutes, I noticed that one of the processes, a PHP script running with high concurrency, was causing the load spike. The script was generating a lot of requests to MySQL, which in turn was putting extra strain on the database.

I wrote a quick Perl script to monitor the script’s behavior and identified an inefficiency: it was performing multiple SELECT statements instead of using JOINs. I also noticed that there were some redundant queries being executed for every request, causing unnecessary overhead.

I quickly made some changes to the script to optimize the database interactions by refactoring the code to use JOINs where appropriate and caching query results. Once those adjustments were pushed out, the load dropped significantly, and everything stabilized.


The Meeting

Around lunchtime, I headed to a meeting with our development team about implementing a new automated deployment process using Fabric. Our goal was to streamline our release cycles and minimize human error during deployments.

During the discussion, one of my junior engineers suggested using Boto (AWS’s Python library) to automate some tasks involving Amazon S3. Another engineer argued that it would be better to use an open-source alternative like boto2 since Boto might change in the future.

The conversation was lively and sometimes tense. I remember feeling a mix of pride for having such a diverse set of technical opinions and frustration at the constant debates over which tools are “better.” In the end, we decided to stick with boto2 because it had more community support and stability compared to Boto.


The Argument

After lunch, there was an argument about whether our servers should be running Xen or KVM. Our infrastructure team favored Xen due to its better performance for virtualization workloads, while the ops team preferred KVM for its ease of management and flexibility.

I had always leaned towards Xen because it provided a more stable environment for our mission-critical applications. However, I could see why KVM might be beneficial for some of our development environments where we needed quick prototyping and agility.

In the end, we decided to continue using Xen but with plans to introduce KVM for non-production testing environments. The goal was to find a balance between stability and flexibility without overcomplicating our setup.


The Afternoon

By early afternoon, I was starting to feel a bit of burnout from all the back-to-back tasks. But that’s when the phone rang. It was one of our developers reporting an issue with our user-facing API service. After some quick troubleshooting, we identified a misconfigured firewall rule causing intermittent timeouts.

Once fixed, everything went smoothly, and I took a moment to reflect on how much has changed in just over a year since I started this blog. Back then, we were still figuring out the best ways to use open-source tools like Apache and MySQL for our applications. Now, we’re dealing with cloud services, automation scripts, and complex deployment pipelines.


That’s my day, March 15, 2004. It was a typical sysadmin day filled with debugging, meetings, and arguments. But amidst all the chaos, there were small victories—like optimizing a script to reduce load or finding a balance between Xen and KVM.

As I finish up for the day, I can’t help but think about how much tech has advanced in just a few short years. And yet, many of the challenges we face now are surprisingly similar to what we dealt with back then—balancing performance, stability, and flexibility while working within our limited resources.

Stay tuned for more updates from the sysadmin front!