$ cat post/debugging-the-mother-of-all-downtimes.md

Debugging the Mother of All Downtimes


May 12, 2003 was just another day in the life of a sysadmin. Or so I thought.

I remember it like yesterday. It was around lunchtime when the alarms started going off—our monitoring system went into full red alert mode. My first thought? “Oh great, another small script misbehaving.” But as I dove deeper into the logs, something felt different. This wasn’t just a little hiccup.

The application logs were filled with errors: 502 Bad Gateway messages all over the place. The load balancers were spitting out alerts about too many 502s. We had traffic spikes and then sudden drops, indicating that our application servers were choking.

I quickly assembled my ops team and we started triaging. The first thing I did was check if it was a network issue. After a few quick pings to the hosts in question, I noticed that packets weren’t making it past the load balancers. Time for some traceroutes and digging into our network gear.

As we traced the route, I found that one of our routers had gone down. It’s not like this router was critical or anything—it was just a backup link to another subnet. But apparently, in our architecture, everything seemed to depend on it.

I called up our network ops team and asked for immediate replacement. The guy on the phone seemed confused at first. “What, you need it right now?” he asked, almost laughing. I didn’t have time for small talk. “Yes, right now,” I said through gritted teeth. “We can’t afford downtime.”

I remember feeling a mix of fear and determination. Fear that this could be something bigger than we anticipated, but determination to get it fixed because our users were already complaining. The rest of the team started pulling out scripts and tools, trying to figure out if there was anything else we needed to do.

We replaced the router in about 20 minutes flat (thanks to some pre-planned hot-swapping equipment). After that, I got a few coffee runs going and made sure everyone had something to eat. The clock was ticking, but at least the immediate physical issue seemed resolved.

But then came the real challenge: figuring out why this router died in the first place. We started pouring over logs from the network gear, the application servers, and our monitoring systems. It turned out that a recent firmware update on one of the switches had caused some kind of instability. The update itself was supposed to improve performance but ended up introducing a bug.

I’m not sure how many times I’ve said “never trust an automated deployment” since then. But in 2003, we were all about making things faster and more efficient. So much for that!

After we fixed the router, we spent hours trying to figure out what else might be affected by this sudden downtime. We ended up updating our monitoring tools to better catch these kinds of issues earlier and more accurately.

By the end of the day, everyone was exhausted but relieved. The application came back online, albeit with some residual issues that needed addressing. I remember feeling both proud of my team for handling it so well and a bit of a failure for letting something like this happen in the first place.

That night, as I lay in bed, I couldn’t help but think about how much had changed since I started here. In 2003, it was still common to have outages that lasted days or even weeks—nowadays, we’re talking about minutes if not seconds. Yet, the basic principles of what makes a system fail and how you fix it remain the same.

Anyway, I guess this is my “tech journal” entry for May 12, 2003. Let’s hope tomorrow goes better than today.