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Thanks for the reply @JordanB. We're on Alteryx Server with 220.127.116.11907.
We are dealing with 113 Scheduled Workflows in all basis (daily, weekly, monthly). We recently encounter stuck jobs (like stucking on 0%, sometimes 40%) and batch queued jobs which results to delay and lapsed process that affects the integrity of our data. Handling this problem was just recently transitioned to me so I'm a little lost on the investigation.
The aim here would be then to identify if you potentially need to look at scaling out worker nodes to process the high volumes of scheduled jobs you have running. Again, metrics should as workflow length, workflow make=up (predictive processes which are memory intensive) can all be derived from the above practices.