$ cat post/make-install-complete-/-i-rm-minus-rf-once-/-the-cron-still-fires.md
make install complete / I rm minus rf once / the cron still fires
Title: The DevOps Dawn: A Platform Engineer’s Perspective
October 8, 2012 was just a regular Monday for me, but in the grand scheme of things, it felt like the ground had shifted beneath our feet at work. DevOps was emerging as more than just a buzzword; it was becoming a reality. I found myself knee-deep in Chef and Puppet, wrestling with the pros and cons of each configuration management tool.
It started off innocently enough. The team had been working hard to automate our deployment pipeline using Chef for quite some time now. But as we scaled up and faced more complex infrastructure challenges, it became clear that the tool wasn’t quite cutting it. We were hitting roadblocks with its performance on large environments and wanted something a bit more flexible.
At the same time, Puppet was getting buzzed about in the industry. Netflix had just started their Chaos Monkey experiments, showing how to introduce controlled chaos into your system—something we could definitely benefit from. Meanwhile, OpenStack was making waves as cloud computing moved beyond AWS’s monopoly. The world of infrastructure was changing, and I found myself questioning our choices.
We held a meeting where everyone chipped in with their thoughts. Some argued for sticking with Chef because of its maturity and community support. Others championed Puppet due to its more expressive syntax and better handling of complex resources. Me? Well, I wanted something that would scale better and allow us to manage both our on-prem and cloud environments seamlessly.
It was a heated debate, but eventually, we decided to explore Puppet further as it seemed to offer the best balance for our needs. The path forward wasn’t clear, but we were committed to making it work. We took a deep dive into the Puppet documentation and started setting up test environments. It wasn’t pretty at first—lots of trial and error—but we slowly began to see the benefits.
One night, as I was debugging a particularly stubborn Puppet module, my computer decided to go on strike. The screen flickered once before dying completely. The power button wouldn’t even respond. Panic set in as I tried to figure out what had gone wrong. Was it the power supply? A bad RAM module? Or something more sinister?
I grabbed a spare laptop and transferred the open files, hoping my setup would be enough to get me through the night. After a few tense hours of coding by flashlight (thanks, old-school developer), I finally got everything back online. By 3 AM, I had some semblance of a working environment set up on Puppet, but it was far from perfect.
Looking back, that night taught me two valuable lessons: first, the importance of having backups and redundancy in your setup, and second, how much value can come from sticking with a project despite initial hiccups. We pushed through, made adjustments, and eventually saw significant improvements in our deployment processes.
The DevOps world was truly shifting around us that month. The Amazon EC2 outage shook everyone’s confidence in cloud services, while Heroku’s acquisition by Salesforce highlighted the growing consolidation in tech. Continuous delivery became a must-have for staying competitive, and NoSQL databases were everywhere—though their hype had started to wane.
Reflecting on it now, those days felt like a crucible for us as an engineering team. We emerged from that period with stronger bonds and a clearer vision of our future direction. Whether we stuck with Chef or switched to Puppet didn’t matter as much as the journey itself—learning together, pushing boundaries, and never settling for good enough.
That’s how I remember October 8, 2012: not just another day at work, but a turning point in our DevOps evolution.