Kubernetes Is Not For Everyone: A Look With 20 Years of Experience

Kubernetes Is Not For Everyone: A Look With 20 Years of Experience

The most expensive mistake of my career wasn't a line of code; it was a 'yes'. Years ago, when "Let's use Kubernetes" was suggested for a project, I remember saying "yes" without questioning, swept up in the popularity of the moment. Since that day, I've struggled with the operational burden, unexpected costs, and complexity that decision brought. Today, with 20 years of system architecture and operations experience, I believe it's time to question whether Kubernetes is truly the right solution for everyone.

A Tool in the Shadow of Popular Culture

Today, Kubernetes is seen as the undisputed leader in container orchestration. Its name comes up whenever a new project starts, whenever a technology trend is discussed. But this popularity creates a huge expectation: an perception that Kubernetes is the solution to every problem, the cornerstone of every system. This perception can lead many teams, especially those with simpler scale and needs, down an unnecessarily complex and costly path.

While developing an ERP system for a manufacturing company, we were trying to automate workflows and data management. Initially, a simple PostgreSQL database and backend services written with FastAPI were sufficient. But after a while, driven by the idea of "let's be more scalable," we decided to switch to Kubernetes. This transition not only forced us to build an additional team just to manage the infrastructure, but also incredibly slowed down our deployment processes.

Operational Burden Beyond Cost

One of the biggest burdens Kubernetes brings is undoubtedly operational complexity. Its setup, maintenance, updates, and security require significant expertise and time. Even setting up a basic cluster is a project in itself. Then come topics like monitoring, logging, alerting, network policy management, and storage management, all requiring continuous attention and effort. Even if managed Kubernetes services are used to alleviate this burden, these services also have their own costs and limitations.

Once, I managed a few web applications hosted on my own virtual private servers (VPS). With simple Nginx configurations, systemd services, and Docker Compose, everything was running smoothly. I had the comfort of knowing these systems were stable while doing my daily work. But after switching to Kubernetes, midnight alerts, unexpected restarts of pods in the cluster, and hours-long debugging sessions to find the source of errors became a part of my life. This situation negatively affected the motivation of not only me but everyone on my team.

⚠️ The Danger of Unnecessary Complexity

Adopting Kubernetes brings with it a host of new tools and concepts. Terms and tools like kubectl, Helm, Prometheus, Grafana, etcd, CNI plugins can be daunting at first. This complexity can exceed the existing resources and expertise, especially in small and medium-sized businesses.

When Should You Consider Kubernetes?

So, when does Kubernetes become a sensible option? The answer, of course, is scale and complexity. If your applications consist of many microservices, receive heavy traffic, and require continuous, rapid deployments, Kubernetes can handle this load. Its capabilities like dynamic scaling, self-healing features, and advanced service discovery can be invaluable for large-scale distributed systems.

For example, imagine I'm managing the operations of a large e-commerce platform or a global SaaS product. In a system serving millions of users and consisting of hundreds of microservices, it would be almost impossible to stay afloat without the flexibility and automation capabilities offered by Kubernetes. In such scenarios, the initial cost and operational burden brought by Kubernetes are balanced by the benefits it provides.

ℹ️ Evaluate Alternatives

As an alternative to Kubernetes, simpler orchestration tools or even solutions that don't require container orchestration are available, depending on the need. For example, managed services like AWS ECS, Google Cloud Run, or Azure Container Instances allow you to run containers with less operational burden. For simple applications, Docker Compose or even systemd services might suffice.

Conclusion: Pragmatism is Key

Based on my 20 years of experience, I can say that in technology choices, it is vital to consider the required scale, complexity, and most importantly, the cost, rather than blindly following popular trends. Kubernetes is a powerful tool, but it is not a panacea for every problem. In my own projects and in places I've consulted, I have always tried to choose the "most suitable" technology rather than the "best" technology. This often means less complex, less costly, and more sustainable solutions.

Don't you agree that Kubernetes is an unnecessarily complex solution in many cases? What have you observed on this topic in your own experiences?