Resource management for a cluster is fully handled by Databricks. Ideally, one would be more focused on the cluster sizing based on their workload type and set the autoscaling parameters for the cost/load balancing.

In our various recent implementation, we are moving more towards serverless to get away with the management overhead. Obviously, serverless do not fit for every use-case, so still need to work on hybrid method, having serverless-first approach.