1. Secure Databricks Notebooks with Personal Access Tokens


    To secure Databricks Notebooks with Personal Access Tokens, you essentially want to create a token resource in the Pulumi Databricks provider that will manage the lifecycle of a Databricks Personal Access Token (PAT). Databricks PATs are a secure way to authenticate to the Databricks REST API and Databricks file system (DBFS).

    Here's the implementation process, step by step:

    1. Set up the Databricks provider by authenticating using your Databricks workspace parameters.
    2. Define the databricks.Token resource which represents a Databricks Personal Access Token.

    Your PAT can be used by applications, tools, and libraries to interact with the Databricks workspace and DBFS on your behalf without using a password. This token is a long string that you include in the header of HTTP requests to the Databricks REST API.

    Below is a complete program, including comments, that demonstrates how to manage a Databricks Personal Access Token using Pulumi:

    import pulumi import pulumi_databricks as databricks # Create a Databricks Personal Access Token (PAT) personal_access_token = databricks.Token("my-databricks-pat", # You can provide an optional comment to describe the purpose of this token comment="PAT for secure notebook access", # The lifetime of token in seconds, here we set it to be valid for 1 day # The maximum lifetime of a token is configurable within the Databricks workspace lifetime_seconds=86400 ) # Export the ID of the token # The actual token value is sensitive and should be stored securely (e.g., in Databricks secret scope or a vault), not exposed in a plain text pulumi.export("personal_access_token_id", personal_access_token.token_id) # You can also use the token_value attribute of the token resource to integrate with other Pulumi resources or external services # For security reasons, do not print the token value or expose it in your stack outputs

    This program creates a new Databricks Personal Access Token with a lifetime of 1 day. The pulumi.export statement allows you to output the token ID for reference. However, be very careful with handling the actual token value; it is sensitive information and should be treated securely.

    After running this Pulumi program, you will have an access token that you can use to authenticate with the Databricks API and secure your notebooks effectively. Remember to store the token value securely and distribute it carefully to your applications or services that require Databricks access.