Comment by rafaelturk

Meanwhile, we’re transitioning to on-premises infrastructure due to the increasing complexity of cloud services. Kubernetes and Docker are powerful platforms—we love them—but they were never meant to be cost-driven. Kubernetes is already incredibly efficient. However, surviving cloud costs and avoiding its traps requires granular cost control—far beyond just monitoring RAM, network, or CPU usage. It’s become overwhelming.

In a nutshell, any K8S deployment on-premises tends to be inherently optimized, saving a significant amount of time and resources. I have new servers and old servers in the same cluster, that is epic.

Modern FinOps often feels like a frustrating exercise: Should I choose 2x 2XXL instances or 4x 8XL instances? The conversation rarely focuses on optimizing software performance or database efficiency. Instead, the cloud has turned into a maze of cost centers, where it’s easy to get lost in ‘managing’ the cloud rather than building valuable products for end users.