$ cat post/debugging-a-network-storm:-a-y2k-aftermath-tale.md

Debugging a Network Storm: A Y2K Aftermath Tale


April 22, 2002 was just another day in the life of an engineer. I had been working at a small startup for about two years now, and we were riding on the wave of dot-com frenzy that had swept us all into this whirlwind. Our tech stack? Apache, MySQL, Linux, and a good old Sendmail. We didn’t have fancy DevOps tools like Kubernetes or Docker back then; we relied on our own scripts and a pinch of hope.

It was mid-morning when my phone rang with an alert: “Network errors detected.” I sighed and grabbed my coffee mug, figuring it was going to be another long day. Little did I know that this would turn into a 12-hour marathon.

I logged in to our Linux server and quickly glanced at the logs. Nothing out of the ordinary—just some warnings about DNS resolution issues. I decided to check if any critical processes were down, but everything seemed up and running. The usual suspects like Apache and MySQL weren’t showing any anomalies either. Yet, there was something gnawing at me.

I fired up tcpdump to capture some packets on our network interface. As the data started streaming in, a pattern emerged: hundreds of small packets flooding our network every second. It looked like a distributed denial-of-service (DDoS) attack, but it didn’t feel right. The traffic was too uniform and too frequent.

I reached out to our DNS provider, but they were stumped too. They told me that there had been no significant changes or new services that could be causing this. I began scouring the internet for similar issues. Back then, Google wasn’t as ubiquitous as it is now, so I turned to Usenet and other forums.

After a couple of hours, the penny dropped. This didn’t feel like a typical DDoS attack at all. It was more like an automated script running across a botnet, but with such precision that it seemed almost too good to be true. Could it be…? I logged into our MySQL database and began querying the application logs. To my surprise, there were no recent changes or updates that would explain this.

That’s when it hit me—Y2K was not just about date fields in databases; it was also about how people dealt with time zones around the world. Could it be that some old script or cron job was running every second because of a misconfigured time zone setting?

I rushed to our server and checked the time settings. Sure enough, one of our servers was set to an incorrect time zone, causing it to run scripts at what seemed like random intervals but were actually very consistent in their timing. This was a classic Y2K leftover issue resurfacing.

Once I corrected the time zone setting, the network traffic subsided almost immediately. The relief was palpable as everyone on my team realized we had just dodged a bullet. We spent the rest of the day auditing all our cron jobs and scripts to ensure no other settings were off. It was a humbling reminder that even in the age of advanced technology, it’s crucial to double-check basic configurations.

This experience taught me an important lesson: always keep an eye on basics, especially those that might seem mundane or unimportant. You never know when they could come back to haunt you, years after your initial implementation.


And so, I went home that day feeling both accomplished and a bit wary of the network storms we hadn’t even seen coming yet. The world was changing rapidly, but there were still fundamental truths in tech that held as much relevance today as they did when we had just two months to fix Y2K bugs.