Understanding infra costs of Databricks compute

jar
Contributor

Hi.

I can see in our Azure cost analysis tool that a not insignificant part of our costs come from the managed Databricks RG deployed with the workspace, and that it relates particularly to VMs (so compute, I assume?) and storage, the later which, though I own the RG, I am not allowed to dive into. Note that we use a different ADLS Gen2 account for storage of data. 

We use both dedicated clusters, job clusters and a serverless SQL DW. How can I find out which of these to "tune" on in order to bring down the costs of the VMs deployed as infra for the compute?

By the way, this enforcing of a label is rather daft when I cannot choose one that actually pertains to the matter at hand.