September 2010. The year was defined by a few things that I remember vividly from my days working in the heart of tech operations. A DevOps revolution was brewing, and with it came the chaos of new tools, methodologies, and debates.

DevOps was still emerging as a term, but its principles were starting to take root among the dev teams I worked closely with. We were experimenting with CI/CD pipelines, continuous integration servers like Jenkins, and configuration management tools like Puppet and Chef, which were duking it out for supremacy. My team at the time had settled on Puppet, and we were still learning how to use it effectively—fiddling with manifests, tweaking recipes, and trying to get our infrastructure in a state where changes could be reliably managed.

One of the biggest challenges was making sure that our configuration management tools weren’t just about automation; they needed to support rapid experimentation and iteration. We’d spend hours debating whether we should use Puppet or Chef, or even if we should be using a tool at all. I remember a heated discussion where one engineer argued for Chef’s Ruby-based DSL, while another preferred Puppet’s declarative approach. It felt like we were in the middle of a tech war, but instead of guns, it was code that was flying.

Another topic dominating conversations was NoSQL. The hype around distributed databases and key-value stores was reaching a fever pitch, and every other article or blog post seemed to have some new database to add to your list of things to try. I remember the excitement when we started evaluating different options—Riak, Cassandra, MongoDB—and the debates about whether NoSQL was really better for our needs. Some argued that traditional relational databases were still superior, while others saw an opportunity to build more resilient and scalable systems.

It’s funny how these discussions felt so intense back then. Looking back now, it’s clear that there wasn’t a one-size-fits-all solution. Each technology had its strengths and weaknesses, but at the time, everyone was on a hunt for the next big thing.

In September 2010, I also remember arguing with another team about the importance of infrastructure as code (IaC). We were working on a new project that required us to spin up instances quickly and reliably. The idea of using scripts or templates to automate this process was still relatively new, but it seemed like the future. The debate centered around whether we should use our existing Puppet manifests or start from scratch with Ansible or Terraform. It was a learning curve for everyone involved, as we grappled with how to write code that could both define and control our infrastructure.

One of my biggest takeaways from this period was realizing the importance of consistency in configuration management. We spent countless hours ensuring that every environment—from development to production—was configured identically. This allowed us to catch subtle bugs early on, before they became major issues later down the line. It wasn’t always easy, but it paid off.

Looking at today’s landscape, DevOps has become normalized, and NoSQL databases are common in many tech stacks. But back then, every decision felt significant because we were trying to shape the future of our operations. The debates, the arguments, and the learning—those moments defined me as a professional and shaped how I approach infrastructure management today.

In September 2010, everything was about experimenting and iterating. We didn’t know what would stick, but we knew that we had to try something different if we wanted to stay relevant in this fast-paced industry. The memories from that time still resonate with me, reminding me of the excitement and challenges of being a part of the tech ops community during its formative years.