$ cat post/the-daemon-restarted-/-i-mapped-the-disk-by-hand-once-/-the-patch-is-still-live.md
the daemon restarted / I mapped the disk by hand once / the patch is still live
Title: The Era of Disruption: August 2011
August 2011 was a month that felt like the tech world was in perpetual motion. I remember sitting at my desk, eyes glued to Hacker News, seeing stories about Steve Jobs stepping down as CEO and Twitter Bootstrap hitting the scene—both events that were shaping up to be monumental shifts in the industry.
On one hand, I was working on a project where we were trying to integrate Puppet for configuration management across our growing infrastructure. The DevOps buzzword had just begun its journey into mainstream awareness, but it still felt like we were at the beginning of a marathon, not a sprint. We spent long nights wrestling with Puppet’s complexity and figuring out how to make it fit our needs without breaking anything.
Meanwhile, the NoSQL hype was reaching a fever pitch. Every other blog post I read seemed to be declaring yet another database the Next Big Thing. It was easy to get caught up in the excitement, but as someone who had seen plenty of “next big things” come and go, I remained skeptical. We were still using MySQL for most of our data storage needs, but I kept an eye on Redis, Cassandra, and MongoDB—just in case.
One of the challenges we faced was integrating these new technologies into our existing infrastructure. We had a monolithic application that relied heavily on our MySQL database. The idea of suddenly switching to NoSQL seemed risky, especially since none of us were experts in the field. We decided to run some Proof of Concepts (PoCs) to see how well different databases would fit with our needs. After weeks of testing and debating, we ended up sticking with MySQL for now but kept an eye on emerging trends.
Around this time, Heroku was selling to Salesforce, which raised eyebrows in the developer community. Many saw it as a sign that hosted platforms might be consolidating into larger companies, potentially changing how developers approached application deployment and management. It made me wonder about our own infrastructure choices—should we stick with traditional hosting or explore more cloud-based solutions?
Another significant event was the launch of OpenStack. I recall spending some time digging through the documentation to understand what it was all about. The promise of open-source, flexible cloud management appealed to us, but implementing it seemed like a daunting task. We had our hands full with Puppet already; adding yet another layer of complexity felt risky.
In parallel, Netflix’s Chaos Engineering was gaining traction. I remember reading their blog posts and feeling both impressed and intimidated by the rigor they brought to testing system resilience. Their approach made me think about how we could better test for failure points in our own systems. It wasn’t just about writing unit tests; it was about understanding the real-world conditions that might bring down a service.
The AWS re:Invent conference had just begun, and I found myself following along with tweets and blog posts from attendees. The sheer scale of what Amazon was showcasing felt overwhelming—new services, new APIs, and new ways to think about cloud architecture. It made me wonder how we could keep up with all the changes without getting lost in the noise.
Looking back on this month, it’s clear that 2011 was a year of significant shifts and challenges. We were navigating through an era where technology was evolving rapidly, and staying ahead required constant learning and adaptation. The months that followed would continue to bring more disruption and change, but for now, we just focused on getting our projects over the finish line.
It’s funny how things look in hindsight—what seemed like a whirlwind of innovation back then is now standard practice. But at the time, it was all about learning, arguing, and pushing the boundaries of what was possible with technology.