1. Secure Databricks Workspace with IP Access Lists


    To secure a Databricks Workspace with IP Access Lists means that you want to limit access to the Workspace to certain IP addresses or ranges, ensuring that only authorized users can access it. Pulumi provides an infrastructure as code approach to manage this configuration on cloud platforms where Databricks is supported, such as Azure, AWS, or GCP.

    Let's assume you're working with Databricks on AWS and want to create an IP Access List to control access to your Databricks Workspace.

    In Pulumi, you would use the databricks.IpAccessList resource, which allows you to define a list of allowed IP addresses or CIDR ranges that can access your Databricks Workspace. You will need to specify the list of IP addresses you want to allow and associate this list with your Databricks Workspace.

    Here's a program in Python that demonstrates how you could use Pulumi to create an IP Access List for Databricks on AWS:

    import pulumi import pulumi_databricks as databricks # Replace these variables with your specific details databricks_workspace_name = "my-databricks-workspace" allowed_ips = ["", ""] # Add your IP addresses here list_label = "AllowedIPs" # Create a Databricks IP Access List ip_access_list = databricks.IpAccessList("ip-access-list", label=list_label, list_type="ALLOW", ip_addresses=allowed_ips ) # Output the ID of the IP Access List pulumi.export('ip_access_list_id', ip_access_list.id)

    Here's what's happening in the program:

    1. We import the pulumi and pulumi_databricks modules, allowing us to interact with Pulumi and the Databricks resources provided by the Pulumi Databricks provider.

    2. We set some basic variables such as the names and IP addresses you wish to allow. Typically, you would replace the placeholder values with actual IPs from your environment that should have access to the Databricks Workspace.

    3. Using the databricks.IpAccessList class, we create an IP Access List. The label is a friendly name for the access list, list_type is set to "ALLOW" to permit access from the specified IPs, and ip_addresses is a list of the allowed IPs.

    4. Lastly, we export the ID of the new IP Access List as an output, which can be useful for future reference or for integration with other infrastructure components.

    This program assumes you've already set up a Databricks Workspace in your AWS account and have the appropriate configuration for the Pulumi Databricks provider, including authentication. If the Workspace hasn't been created yet, you need to set it up first either through Pulumi or the Databricks portal and obtain the workspace name to use it in the script.

    Keep in mind that the Databricks Workspace and other dependent resources such as networking and authentication should already be configured. The program above focuses solely on creating an IP Access List to secure an existing Databricks Workspace.