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Log notebook activities

New Contributor III

Hi friends;

I'm working on a project where we are 4 programmers. We are working in a single environment, using only the "Workspaces" folder. Each has its own user, which is managed by Azure AD.
We had a peak in consumption on the 5th Feb. So I can see on the Azure portal that it was Databricks that consumed an exorbitant amount of budget. But, I can't know who ran the notebook, what the notebook was or even what code was there? Can anyone help?


Community Manager
Community Manager

Hi @wellington, To trace the high consumption in your Azure Databricks environment, you can use tags to attribute usage and accurately identify the culprits.

Here’s how you can proceed:

  1. Tagging Workspaces, Clusters, and Pools:

    • Azure Databricks allows you to tag workspaces (resource groups), clusters, and pools. These tags propagate to detailed cost analysis reports accessible in the Azure portal.
    • You can associate consumption with specific business units or teams by tagging your resources, aiding in chargebacks and accountability.
  2. Default Tags Applied by Azure Databricks:

    • When you create clusters or pools, Azure Databricks automatically assigns default tags:
      • For clusters, tags include:
        • ClusterId: The internal ID of the cluster.
        • ClusterName: The name of the cluster.
        • Creator: The username (email address) of the user who created the cluster.
        • Additionally, on job clusters, tags include RunName, JobId, and other relevant details.
      • For pools, tags include:
        • DatabricksInstancePoolId: The internal ID of the pool.
        • DatabricksInstancePoolCreatorId: The internal ID of the user who created the pool.
        • The constant tag Vendor with the value “Databricks.”
  3. Tag Propagation and Cost Analysis:

    • Workspace and pool tags aggregate and are assigned as resource tags to the Azure VMs hosting the pools.
    • Workspace and cluster tags aggregate and are assigned as resource tags to the Azure VMs hosting the clusters.
    • These tags enable precise cost attribution and help you identify which user or team caused the peak consumption.
  4. Accessing Cost Analysis Reports:

    • In the Azure portal, navigate the cost analysis section to view detailed reports based on the tags.
    • You’ll find insights into consumption by cluster, pool, and workspace, allowing you to pinpoint the resource responsible for the budget spike.

Remember to avoid customizing the Name tag for clusters, as it may interfere with tracking by Azure Databricks. With proper tagging, you’ll gain visibility into usage patterns and be better equipped to manage cos....

Happy debugging, and may your budget stay intact! 🚀


New Contributor III

Hi @Kaniz_Fatma , thanks for your quick answer.
There is no other way to monitor notebook runs. I ask this because adding tags to the cluster and workspace does not solve my problem, considering that everyone uses the same cluster and the same workspace.

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