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.
R.I.P. Kubecost
Do you need a tool to tell you that your company underpays or is bad at recruiting? Or maybe that you do something boring that people don't want to work for?
IMO Keda is the more important product in this space, because it translates business requirements like max queue wait time into compute resources.
If you are operating in a way where small cost differences decide if you are break even if you have already failed, no amount of "FinOps" will stop your trend from going to zero. It is delaying the inevitable.