I have a similar question, but I am more interested in it to understand whether resources are allocated in an intelligent way. I guess the compute configuration should have an effect on how many tasks can be run at the same time. But how does it exactly effect it?

My question is the following: suppose task A and B depends on task C and D. Other then this, there are 50 other tasks that do not have dependencies. Suppose that in the beginning, task C and D are started, and, if there is a limit of parallelism, 8 more tasks. Then task C is over, but D is running, so A and B cannot start yet. My question is: is the orchestration intelligent enough to start a new (9th) task from the 50 while waiting for D to finish? Or does it wait and waste resources in the meantime?