![]() ![]() To instead use a public GKE cluster, click Advanced configurations and deselect Enable private cluster. Click Advanced configurations then set the IP range for GKE master resources field. For a private cluster, you can optionally set a custom value for the IP range for GKE master resources. This option requires that Databricks create an additional Google Cloud cloud NAT. A private cluster’s GKE nodes have no public IP that is routable in the public internet. (Optional) Configure details about private GKE clusters.īy default, Databricks creates a private GKE cluster instead of a public GKE cluster. Network configuration: Select your network configuration’s name. Network Mode: Set this to Customer-managed network. Specify a network configuration that represents your VPC and its subnets: Range must be no bigger than /16 and no smaller than /27. In the Service address range field, type the IP range in CIDR format to use as the secondary IP range for GKE services. Range must be no bigger than /9 and no smaller than /21. In the Pod address range field, type the IP range in CIDR format to use as the secondary IP range for GKE pods. Range must be no bigger than /9 and no smaller than /29. This is also the IP range of the subnet where the GKE cluster lives. Nodes of the GKE cluster come from this IP range. ![]() In the Subnet CIDR field, type the IP range in CIDR format to use for the subnet. The sizes of these IP ranges affect the maximum number of nodes for the workspace. The IP ranges for these fields must not overlap. To determine the address range sizes that you need, Databricks provides a subnet calculator as a Microsoft Excel spreadsheet.Ĭlick Advanced configurations to specify custom IP ranges in CIDR format. If the address ranges for your Databricks subnets are too small, then the workspace exhausts its IP space, which in turn causes your Databricks jobs to fail. You cannot change them after your workspace is deployed. For a customer-managed VPC, click the Customer-managed VPC tab.Ĭonfigure the GKE subnets used by your Databricks workspace accurately. This step varies based on the workspace’s network type. If it is a Shared VPC, set this to the project ID for this workspace’s resources. If it is a standalone VPC, set this to the project ID for your VPC. If you plan to use a customer-managed VPC for this workspace: To learn how to get your project ID, see Requirements. In the Google cloud project ID field, enter your Google Cloud project ID. For the list of supported regions, see Databricks clouds and regions. In the Region field, select a region for your workspace’s network and clusters. Only alphanumeric characters, underscores, and hyphens are allowed, and the name must be 3-30 characters long. In the Workspace Name field, enter a human-readable name for this workspace. Register your network configuration, which represents your VPC and its subnets.Īs a Databricks account admin, log in to the account console and click the Workspaces icon. Review all customer-managed VPC requirements. If you choose this network type, perform the following steps now: If you choose this network type, there are no additional steps to perform now.Ĭustomer-managed VPC: Create and specify your own customer-managed VPC for your new Databricks workspace to use. See Required permissions.Ĭhoose a network type for your new workspace:ĭatabricks-managed VPC (default): Databricks creates and manages the lifecycle of the VPC. To create a workspace, you must have some required Google permissions on your account, which can be a Google Account or a service account. Manage users, service principals, and groups.Databricks access to customer workspaces.Automate workspace creation using Terraform.Create a workspace using the Account API.Create a workspace using the account console.Create and manage your Databricks workspaces.Get started with Databricks administration. ![]()
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