Dynamic Scaling without Kubernetes

[Artemis User]

Has anyone tried to make a Spark cluster dynamically scalable, i.e., 
adding a new worker node automatically to the cluster when no more 
executors are available upon a new job submitted?  We need to make the 
whole cluster on-prem and really lightweight, so standalone mode is 
preferred and no k8s if possible.   Any suggestion?  Thanks in advance!

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