$ cat post/the-rollback-succeeded-/-we-documented-nothing-then-/-i-left-a-comment.md
the rollback succeeded / we documented nothing then / I left a comment
Debugging Heaven with Hadoop
October 13, 2008. I remember the day vividly because it was a Monday and there were two things on my mind: GitHub’s launch and our big Hadoop cluster crash.
GitHub’s launch that year was like a firework going off in the tech world. I couldn’t help but feel a bit of jealousy mixed with excitement—seeing how open-source had shifted from something nice to have into an essential part of the tech ecosystem. But at work, we were dealing with our own challenges.
Our Hadoop cluster was acting up again, and this time it wasn’t just a minor hiccup. The entire thing ground to a halt right as we were processing critical data for our upcoming quarterly report. We had a few hours to fix it before the boss came in to review the numbers.
I was debugging furiously, stepping through log files and trying to find what exactly was going wrong. Hadoop can be tricky because of its distributed nature; you can’t just restart a node and hope everything is fine. You need to understand where things are failing and why.
After an exhausting few hours, I finally tracked down the issue—a memory leak in our data processing logic that we had somehow overlooked during initial testing. It was one of those moments when you wonder if your eyesight isn’t as good as it used to be or if you’re just not paying enough attention. But at least the fix wasn’t too complex.
Once I pushed out a quick patch, everything started humming along nicely again. As soon as we were back on track, I couldn’t help but think about how this was a perfect example of why distributed systems are both fascinating and infuriating.
This era also saw a lot of discussions around cloud vs. colo (colocation). My company was still debating whether to move our critical workloads from colos to AWS or stay put. The debate had become almost a religious argument, with each side firmly believing their approach was the best. I found myself in the camp that said we needed to try both and see what worked better for us.
Meanwhile, Agile/Scrum was spreading like wildfire. Our team was trying to adopt some of these practices, but it felt like everyone was doing it a little differently. We had stand-ups every day (or so they were called), but the real work still seemed to be done in long stretches of focus time.
The economic crash was hitting hard too. Job insecurity was palpable among our peers. The thought of layoffs looming over us made even minor issues feel like big risks. It was a strange mix of urgency and caution as everyone tried to figure out how much risk they could take on the projects we were working on.
As for personal news, I turned down an offer from Microsoft that would have paid three times my current salary. The allure of building something new and exciting with GitHub was too strong. It wasn’t about the money; it was about being part of something truly transformative.
Reflecting back, 2008 felt like a year full of contrasts—exciting tech advancements alongside personal challenges. I learned that even in difficult times, you can still find moments of innovation and growth. The real work is always there waiting for us to debug and fix it.
That’s how my day unfolded on October 13, 2008—a mix of triumphs, struggles, and reflections. Tech moves fast, but the human aspects don’t change much. We’ll always find ourselves debugging heaven or building something new, even in uncertain times.