April 19, 2010 was just another day for me back in my role as a platform engineer. The tech world was buzzing with excitement and controversy—think Flash being banned on iPhone agreements and Steve Jobs going mad (or so the rumors suggested). But honestly, I found myself mired in the gritty details of real ops work. Today, I want to share some personal insights from that era.

It’s 2010, and we’re all over NoSQL. MongoDB is just getting off the ground, Cassandra is gaining traction, and every other day brings a new NoSQL flavor. My team and I were tasked with evaluating these technologies for our project. We wanted to move away from traditional relational databases because of their limitations in handling high write throughput and scalability. The idea was exhilarating—breaking out of the confines of SQL!

Our first attempt involved setting up a MongoDB cluster on Amazon EC2 instances. We were ecstatic about its schema-less nature and flexible data storage capabilities. But as soon as we started populating our test database, things got messy. We ran into all sorts of issues with data integrity and performance. Every time I queried the database, it felt like I was chasing a ghost.

Meanwhile, in the background, my team and I were also wrestling with Chef for configuration management. We wanted to automate the setup of our NoSQL cluster, but every run felt more like a chore than a breeze. The syntax was cryptic, and debugging Chef recipes was akin to finding needles in a haystack. It made me question whether we’d ever get past this initial hump.

But the real kicker came when I had to debug a particularly gnarly issue with our Cassandra installation. One of our nodes suddenly refused to join the cluster, citing some obscure error related to token assignment. I spent hours poring over the logs and tweaking configurations, only to find out that we were using an older version of the software that was incompatible with the new hardware we had just purchased. Talk about a facepalm moment!

On the brighter side, this period also introduced me to the concept of chaos engineering through Netflix’s Chaos Monkey. The idea resonated deeply—I wanted to break things intentionally so I could make them more resilient. I began integrating Chaos Monkey into our test environment and felt a thrill every time one of my services failed gracefully.

Speaking of resilience, the launch of OpenStack was another significant event during this time. We were intrigued by its promise to provide cloud infrastructure as a platform. However, like many other cloud technologies back then, it was still a bit too bleeding edge for our comfort level. The documentation wasn’t great, and every feature felt like a moving target.

All these experiences culminated in the Continuous Delivery book that hit the market around this time. Reading about the practices of deploying changes reliably and frequently made me realize how far we had to go in implementing such processes within our organization. It was both a challenge and an inspiration.

In retrospect, 2010 felt like a whirlwind of new technologies and methodologies vying for our attention. MongoDB, Cassandra, Chef, OpenStack—each one promising the next big thing but requiring significant effort to get right. As I look back, I realize that while we didn’t fully embrace NoSQL or achieve perfect automation in 2010, those experiences laid the groundwork for the practices and technologies that would shape our infrastructure over the following years.

So here’s my advice: don’t be afraid to dive into new tech stacks but remember to test them thoroughly. And always keep an eye on chaos engineering—because no matter how well your systems are designed, there will always be unexpected failures waiting to happen.