November 15, 2021 felt like any other day in tech; a blend of excitement and frustration. The era was defined by platform engineering formalization, internal developer portals like Backstage becoming more mature, and SRE roles becoming mainstream. Meanwhile, remote work infrastructure scaled up to unprecedented levels due to the ongoing pandemic, with companies grappling with eBPF for performance optimization. Kubernetes was everywhere, but as the complexity of deployments grew, so did the fatigue.

One day, I found myself knee-deep in a conversation about how we were managing our Kubernetes clusters. Our team had been using ArgoCD and Flux GitOps for deployment automation, which was working well but came with its own set of challenges. The more we relied on these tools, the more complex they became to manage.

I remember the moment vividly—sitting in a conference room surrounded by my peers, all of us nodding along as someone started ranting about how Kubernetes had become too much. “Every change is now a potential cluster outage,” one person complained. “We’re spending more time managing the platform than actually delivering value.”

This sentiment was echoed across the industry. It’s easy to get caught up in the hype and forget that simplicity and ease of use are crucial when it comes to operational tools. Kubernetes, with its myriad features and plugins, can indeed become a beast to tame.

Our team decided to dive into the weeds. We started by auditing all our existing deployments. We wanted to understand how each component was interacting with the others, what dependencies existed, and where there were potential bottlenecks. It was a daunting task, but necessary.

We made a pact to document everything meticulously. No more “magic” commands or undocumented processes—everything had to be written down. We started using a combination of ArgoCD and Flux for GitOps, but we also integrated with observability tools like Prometheus and Grafana to get real-time visibility into our cluster health.

As we delved deeper, we realized that not everything needed to be managed by Kubernetes directly. Some services could run on bare metal or in containers orchestrated by a simpler tool. This led us to explore solutions like eBPF for network monitoring and optimization—something I hadn’t given much thought before but was starting to see as a potential game-changer.

The discussions around this weren’t just about technology though; they were also about culture and communication within the team. We began implementing more agile practices, breaking down large tasks into smaller, manageable pieces. This not only helped us manage the complexity of our deployments but also improved our overall productivity.

One specific moment stands out: a heated argument about whether to use a centralized logging solution or stick with the distributed tracing we were already using. In the end, we decided on a hybrid approach that combined both for maximum visibility and troubleshooting capabilities.

Reflecting on this experience, I realize how much the industry is changing. The shift from monolithic architectures to microservices and serverless isn’t just about technology; it’s about rethinking our workflows and processes. As platform engineers, we’re not just building tools—we’re shaping the culture around them.

And that’s what makes this era exciting. We’re at a crossroads where simplicity is becoming a necessity rather than an afterthought. It’s easy to get overwhelmed by the sheer volume of technology available, but focusing on what truly adds value and making sure we have the right processes in place can make all the difference.

So, as I sit here typing this, I’m reminded that every challenge is an opportunity to learn and grow. Whether it’s Kubernetes complexity or managing remote work infrastructure, there’s always a way forward if you break it down into manageable pieces and keep your team engaged.

Until next time,

Brandon