$ cat post/vi-on-a-dumb-term-/-we-documented-nothing-then-/-a-ghost-in-the-pipe.md
vi on a dumb term / we documented nothing then / a ghost in the pipe
Title: 2007-11-05: A Day in the Life of an Engineer Amidst the Cloud vs. Colocation Debates
Today started like any other day. I woke up to the sound of my old MacBook Pro humming and a cup of coffee that smelled like the morning itself. As I sipped, I caught myself thinking about the cloud vs. colocation debates again. It’s 2007, and everyone seems to be talking about this shift to the cloud, but in reality, most companies still rely on physical data centers.
I was finishing up a patch for one of our applications when my colleague, Sarah, came by with some coffee. “Hey Brandon,” she said, “heard about GitHub going live next week? I’m excited!”
“Really?” I replied, trying to keep the excitement out of my voice. “It’s been hyped up so much already.”
We both knew that even though GitHub was launching in 2008, it wasn’t exactly a game-changer yet. We were still using Subversion and CVS for version control. But the seed had been planted.
As I went back to coding, my mind wandered to our current project—a massive re-platforming effort from an old monolithic Java application to a more modular microservices architecture. We were leveraging AWS EC2 and S3 heavily, and it was shaping up well. The transition meant we could finally start thinking about auto-scaling and elastic load balancing.
I took the opportunity during my morning stand-up to vent about one particular issue we had hit: our log aggregation wasn’t working as expected with CloudWatch Logs. “It’s really frustrating,” I said, “we’ve got all these logs coming in, but CloudWatch just doesn’t seem to be capturing everything.”
Sarah nodded sympathetically. “I know the feeling. Remember when we were arguing about whether to use Amazon’s services or stick with colo?”
Colocation was still popular for many of our clients, and some of them were skeptical about moving to AWS. But I believed that cloud providers like Amazon could offer more flexibility and cost savings in the long run.
“Let’s just try a few different settings,” I suggested. “Maybe we’re missing something obvious.”
After lunch, I dove into debugging the log aggregation problem. Hours passed as I read through logs and configuration files. Finally, around 4 PM, I stumbled upon an obscure setting that seemed to fix it. It was one of those moments when everything clicked.
Around this time, my inbox pinged with a message from our CEO: “Brandon, any progress on the microservices project?” He wanted updates every quarter now, as if he were running his own startup. The pressure was mounting. I quickly whipped up a status update and sent it off.
As the day wound down, Sarah and I caught up on some of the Hacker News stories from earlier in the week. We spent more time discussing “Warning: Software Startups are Not as Easy as Everyone Says” than the actual content. It made me reflect on our own company’s path so far.
“We’re not a startup anymore,” I said, half-joking. “But we still have those lean-agile principles in spirit.”
Sarah nodded with a smile. “And look at us, using microservices and all that jazz! Things move fast.”
It was true. Just a few years ago, the concept of containerization or serverless functions seemed like distant dreams. Now, they were part of our daily lexicon.
As I packed up my things to head home, I thought about how far we had come. And yet, there were still so many challenges ahead—optimizing our cloud infrastructure, dealing with the economic downturn that was just starting to impact hiring, and navigating the rapidly evolving tech landscape.
But for now, it felt good to have made some progress on that log aggregation issue. I couldn’t wait to tackle what tomorrow would bring.
That’s how my day went in 2007, amidst the shifting tides of cloud computing and the excitement of new technologies like GitHub.