An Apache Spark-based analytics platform optimized for Azure.
hi Srishti Ahlawat & thanks for join me here at Q&A portal,
deleted Databricks workspace can still leave managed resources or capacity/quota usage behind for a while, but first prove whether this is Databricks-specific or normal VM quota. Try creating the same VM SKU in the same region outside Databricks. If that fails too, request VM family quota/capacity. If it works, the Databricks workspace cleanup or workspace quota is stuck. Run these checks
az quota list --scope /subscriptions/<sub-id>/providers/Microsoft.Compute/locations/<region> -o table
and check Total Regional vCPUs plus the VM family Databricks is trying to use. Azure VM quota is regional and VM-family based https://learn.microsoft.com/en-us/azure/virtual-machines/quotas
List leftover Databricks managed resources az group list --query "[?contains(name, 'databricks') || contains(name, 'managed')].{name:name, location:location}" -o table
and inspect the managed resource group for old VMs, disks, public IPs, NAT gateway, storage, NICs or locks.
If the old workspace is stuck in deleting, do not manually delete random managed resources unless support confirms it. Databricks managed resource groups are owned by the workspace lifecycle, and half-deleting them can make cleanup uglier.
Create a test VM in the same region and same VM family. If VM creation gives quota/capacity error, follow the moderator advice and raise compute quota or capacity request. If VM creation works but Databricks workspace fails, open Azure Databricks support and ask for backend cleanup of the deleted workspace or managed resource group.
Azure quota troubleshooting u can find it at https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/error-resource-quota
Portal “quota exceeded” may be real compute quota, regional capacity, or orphaned Databricks managed resources. The VM test separates those paths fast
rgds,
Alex
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