Automated Token Rotation for Databricks Workspaces.

Question

Pulumi · Accepted Answer

Automating token rotation for Databricks workspaces is a crucial security measure to ensure that old tokens expire and new ones are issued periodically, minimizing risks associated with token leakage or unauthorized access.

To accomplish this in Pulumi, you can use the `databricks.Token` resource from the `pulumi_databricks` provider to create and manage tokens. When creating a token, you can set a `lifetime_seconds` property which dictates how long the token is valid. Once the lifetime expires, the token is automatically invalidated by Databricks.

Below is a Pulumi program that demonstrates how to create a new Databricks token that automatically rotates after a specified lifetime. The program includes comments that explain each step in detail.

```python
import pulumi
import pulumi_databricks as databricks

# It's important to keep the lifetime reasonable to balance between security and convenience.
# The lifetime is specified in seconds. Here, for example, we are setting a token lifetime of 30 days.
TOKEN_LIFETIME_SECONDS = 30 * 24 * 60 * 60  # 30 days in seconds

# Creating a new Databricks token.
# We set the desired lifetime for the token using the `lifetime_seconds` property.
# After the specified lifetime, Databricks will automatically invalidate the token.
token = databricks.Token("automation-token",
                         comment="Token for automated processes",
                         lifetime_seconds=TOKEN_LIFETIME_SECONDS)

# Export the token ID and creation time for reference. Note that we do not export the token value.
pulumi.export("token_id", token.token_id)
pulumi.export("creation_time", token.creation_time)

# Please ensure that you handle the token's value securely and do not expose it in the console outputs or version control systems.
```

Here's what is happening in the program:

1. We import the required Pulumi packages.
2. We define the token lifetime in seconds - this example uses 30 days.
3. We create a new `databricks.Token` resource, providing a name for the token, a comment, and the `lifetime_seconds` property that dictates its validity period.
4. Lastly, we export the token ID and the creation time to be able to track and reference them later. For security reasons, we do not export the token's value itself. It is essential to handle the actual token value securely.

Please note that you need to have the `pulumi_databricks` provider configured in your Pulumi project. You also need the appropriate permissions in your Databricks workspace to create tokens. Running this program will issue a new token each time it is executed. Be mindful of token usage and limits set within Databricks.

Remember to never commit sensitive information, like tokens, to your version control system. Always store such sensitive data securely. Consider using Pulumi's secrets management to handle sensitive data if necessary.