Title: When Tech Was Still a Hobby

---

It’s hard to believe it was April 7th, 2008. Back then, I had just started a new job as an engineer at a small startup in the heart of San Francisco. The tech world felt like a vast playground filled with endless possibilities and challenges. GitHub launched that February, just before my arrival, adding another piece to the growing puzzle of collaborative software development.

I remember sitting in the office, trying out AWS EC2 for our project. The concept was still relatively new and exciting, but navigating through the documentation felt like I was learning a new language—though not as hard as learning Go for that matter! At this time, Hadoop was starting to gain traction among data scientists and big data enthusiasts, but it wasn’t something we were actively working on yet.

One of my first tasks at the company involved setting up our development environment. We were using a mix of tools—Subversion for version control and virtual machines with VirtualBox for local development. Debugging across these platforms was a bit cumbersome, but hey, it was better than nothing. I spent more time dealing with VM snapshots failing to save state properly than actually coding.

Around this time, the iPhone SDK was making waves. I remember thinking about how we could leverage mobile technology in our product, but at that point, it felt like a distant dream. The tools and frameworks for mobile development were still in their infancy compared to today’s robust ecosystems.

On a more personal front, I had just finished reading “Be Good” on Hacker News. It was a simple article about the importance of making good decisions, but its simplicity resonated with me. I found myself reflecting on how my own choices as an engineer could impact the success and growth of our startup. The notion that every decision counts didn’t seem to fit well with the fast-paced environment we were in, but it was a valuable reminder nonetheless.

Another article that stood out was “Why There Aren’t More Googles.” This piece delved into the challenges of building a company from scratch. Reading it made me appreciate the work and luck required for success—something I hadn’t fully considered before. We were small, and any misstep could be catastrophic, but we were full of hope and optimism.

At night, after work, I’d often find myself arguing about architecture with my colleagues in online forums like Stack Overflow. The debate was whether to build a monolithic application or go microservices from the start. Both sides had valid points, but the consensus seemed to be leaning towards microservices as they became more mainstream. However, at that time, we were still debating if our project even needed such complexity.

The economic crash of 2008 was starting to take hold, and it cast a shadow over the tech industry. Many startups found themselves in tight situations, trying to balance growth with limited resources. For us, it meant tightening belts and being more strategic about where we spent our time and money.

One particular challenge I faced was debugging an issue that seemed too obvious to be real. We had an application bug causing intermittent failures during peak hours. After weeks of frustration, I found the culprit—a race condition in a part of the codebase that hadn’t been touched in months. It served as a stark reminder that even in what felt like straightforward code, complexity lurked around every corner.

That night, after fixing the issue, I lay in bed thinking about how much more resilient our systems needed to be. The cloud was still new and exciting, but it also meant we had to deal with its quirks and limitations. EC2 instances failing during critical moments or S3 buckets not syncing correctly—it was all part of learning the ropes.

In many ways, 2008 felt like a turning point. GitHub’s launch brought a new level of collaboration and openness to development practices. AWS EC2 started to gain serious traction, providing us with more options for hosting our applications. Hadoop was on the rise, offering new possibilities in data processing. But amidst all these technological advancements, it was still about writing good code, making smart decisions, and iterating quickly.

Looking back, that period was a mix of excitement, frustration, and growth. The tech world was changing rapidly, but the fundamental principles of software development remained constant. As I reflect on those days, I’m grateful for the lessons learned and the experiences gained during one of the most formative times in my career.