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Historical Resource Consumption Metrics on Dataproc Ephemeral Clusters

Hello,

I am currently tasked with analyzing the historical resource consumption of our Dataproc ephemeral clusters on Google Cloud Platform. The goal is to make informed decisions about configuring an on-premises cluster equivalent to our cloud setup.

Given that our Dataproc clusters are ephemeral and get deleted upon job completion, I am looking for a retrospective analysis of resource metrics such as CPU usage, memory consumption, machine count, and core utilization during the lifespan of these clusters.

How to achieve it in the simplest way?


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