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As recently announced in the summit that notebooks, jobs, workflows will run in serverless mode, how do we track/debug the compute cluster metrics in this case especially when there are performance issues while running jobs/workflows.
Databricks is planning to enable some system tables to capture some of these metrics and same can be leveraged for troubleshooting as starting point is my view
Databricks is planning to enable some system tables to capture some of these metrics and same can be leveraged for troubleshooting as starting point is my view
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