"Premium Automated Serverless Compute - Promo DBU" expenses arise from what, how can I disable it, and why are the costs so high?

Question

"Premium Automated Serverless Compute - Promo DBU" expenses arise from what, how can I disable it, and why are the costs so high?

detail in below

Answer 1

Hello everyone!

Currently, I found that over 90% of the cost from "Premium Automated Serverless Compute - Promo DBU" is due to Databricks Materialized View working with Job + SQL Warehouse Serverless. I have now resolved the issue by discontinuing the use of Materialized View and reverting to using a regular Delta Table. I noticed that the associated cost has almost entirely disappeared.

Answer 2

@Pratya Thanwatthanakit - Thanks for the question and using MS Q&A platform.

By default, new workspaces have serverless SQL warehouses enabled in supported regions. See Enable serverless SQL warehouses.

"Premium Automated Serverless Compute - Promo DBU" is a type of Azure Databricks unit (DBU) that provides access to premium features such as autoscaling, job scheduling, and advanced security. These features are designed to help you optimize your Databricks workloads and improve performance.

To disable "Premium Automated Serverless Compute - Promo DBU" expenses, you can either reduce your usage of premium features or switch to a lower tier of Databricks that doesn't include these features. However, keep in mind that disabling these features may impact the performance of your workloads.

The costs of "Premium Automated Serverless Compute - Promo DBU" can be high because they provide access to premium features that are designed to improve the performance and efficiency of your Databricks workloads. The costs can vary depending on your usage and the size of your Databricks cluster. To optimize your costs, you can consider pre-purchasing Azure Databricks commit units (DBCU) for one or three years, which can help you save on your DBU costs. You can also use Azure Cost Management and Billing to monitor and optimize your Azure spending.

For strategies on analyzing serverless usage, see Monitor the cost of serverless compute.

Regarding the pricing, checkout Azure Databricks pricing page:

Do you want to get more details on the pricing: I would suggest you to a create a billing support ticket to get more clarity on the pricing which you are looking for.

Step1: Go to “Help+Support”

Step2: Under support =>Select + New support request

Step3: Fill Basic details: Issue type*: Billing

Step4: Review + Create

Note: Azure provides unlimited support for subscription management, which includes billing, quota adjustments, and account transfers.

For more details, refer to How to create a support ticket for Azure billing and subscription issues.

Hope this helps. Do let us know if you any further queries.

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Answer 3

@Pratya Thanwatthanakit I'm glad that you were able to resolve your issue and thank you for posting your solution so that others experiencing the same thing can easily reference this! Since the Microsoft Q&A community has a policy that "The question author cannot accept their own answer. They can only accept answers by others ", I'll repost your solution in case you'd like to accept the answer .

Ask: "Premium Automated Serverless Compute - Promo DBU" expenses arise from what, how can I disable it, and why are the costs so high?

Solution: Currently, I found that over 90% of the cost from "Premium Automated Serverless Compute - Promo DBU" is due to Databricks Materialized View working with Job + SQL Warehouse Serverless. I have now resolved the issue by discontinuing the use of Materialized View and reverting to using a regular Delta Table. I noticed that the associated cost has almost entirely disappeared.

If I missed anything please let me know and I'd be happy to add it to my answer, or feel free to comment below with any additional information.

If you have any other questions, please let me know. Thank you again for your time and patience throughout this issue.

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Please don’t forget to Accept Answer and Yes for "was this answer helpful" wherever the information provided helps you, this can be beneficial to other community members.