1. Streamlining AI Team Onboarding with MongoDB Atlas Project Invitations


    To streamline the onboarding process for an AI team using MongoDB Atlas, you can automate the creation of project invitations within the Atlas environment using Pulumi. This process involves scripting the deployment of MongoDB Atlas project invitations, which can then be sent out to new team members, allowing them to be efficiently added to the relevant projects with predefined roles.

    We'll use the mongodbatlas Pulumi provider to manage resources in MongoDB Atlas. In our example script, we will:

    1. Create a new MongoDB Atlas Project: This serves as the container for the databases and the environment where the AI team will collaborate.
    2. Invite members to the project: We will script the invitations to the project with specified roles.

    Here is a step-by-step Pulumi Python program that demonstrates how to accomplish these tasks:

    import pulumi import pulumi_mongodbatlas as mongodbatlas # MongoDB Atlas configuration variables # These should be set according to your MongoDB Atlas organization/project details # and the users that you'd like to invite. atlas_org_id = 'your-mongo-atlas-organization-id' project_name = 'ai-team-project' usernames = ['user1@example.com', 'user2@example.com'] # List of user email addresses to invite roles = ['readWriteAnyDatabase'] # Set roles according to your security model # Initialize a new project within MongoDB Atlas project = mongodbatlas.Project("project", org_id=atlas_org_id, name=project_name, # Include any additional project configurations below ) # For each username, create an invitation to the project with the specified roles. # Each invited user will receive an email inviting them to join the project. for username in usernames: invitation = mongodbatlas.ProjectInvitation(f"invitation-{username}", username=username, roles=roles, project_id=project.id, ) # Export the project ID for reference pulumi.export('project_id', project.id)

    In the script:

    • We first define the necessary configuration variables such as the organization ID where the project should be created, the project name, user email addresses, and associated roles.
    • We then create a new MongoDB Atlas project using the Project resource.
    • We loop through the usernames and create a ProjectInvitation resource for each user, specifying the email and roles. MongoDB Atlas will send an email invitation to each user.
    • Finally, we export the project ID so that it can be referenced outside Pulumi if needed (such as in scripts or CI/CD pipelines).

    Before running this Pulumi program you should:

    1. Make sure you have Pulumi CLI installed and configured with the appropriate access tokens for MongoDB Atlas.
    2. Replace 'your-mongo-atlas-organization-id' with your actual MongoDB Atlas organization ID.
    3. List the appropriate email addresses and roles for the users you wish to invite.
    4. Optionally, tweak the project configuration and roles as required by your organization's security and access policies.

    To run the program:

    • Save the code to a file with a .py extension, for example, mongo_atlas_onboarding.py.
    • Execute pulumi up from the command line in the same directory as your script.

    The script will provision the resources in MongoDB Atlas and output the project ID upon completion. Users specified will receive an invitation to their email addresses. After they accept the invitations, they will have access to the project with their assigned roles.