1. Cross-organizational AI Project Collaboration with MongoDB Atlas Invitations

    Python

    To set up cross-organizational collaboration on an AI project with MongoDB Atlas, you'll want to invite team members from outside your organization to collaborate on a specific project. For this scenario, we will use Pulumi to programmatically manage invitations using the MongoDB Atlas provider.

    To get started with the Pulumi MongoDB Atlas provider, you'll need to install the Pulumi CLI and the pulumi_mongodbatlas Python package. Ensure you have an account with MongoDB Atlas and have configured your Atlas API Key to authenticate with Pulumi.

    We use two essential resources from the MongoDB Atlas provider:

    1. mongodbatlas.Project: This resource allows you to create a new project within your MongoDB Atlas organization, which is essentially a workspace where you can configure clusters, manage database access, and set up network access.

    2. mongodbatlas.ProjectInvitation: With this resource, you can send project invitations to users, allowing them to join your Atlas project. Inviting users to the project will enable them to access the resources and work on the AI project in a collaborative manner.

    The following program demonstrates how to create a new MongoDB Atlas project and send an invitation to a user. Replace the placeholders <ORG_ID>, <ROLE_NAME>, <USER_EMAIL>, and <ATLAS_PROJECT_NAME> with your actual MongoDB Atlas organization ID, role name you wish to assign to the user, the email of the user you wish to invite, and the name for the new Atlas project respectively.

    import pulumi import pulumi_mongodbatlas as mongodbatlas # Create a new MongoDB Atlas project project = mongodbatlas.Project("ai-project", org_id="<ORG_ID>", # The organization ID name="<ATLAS_PROJECT_NAME>") # Name of the project # Invite a user to the project invitation = mongodbatlas.ProjectInvitation("user-invitation", project_id=project.id, username="<USER_EMAIL>", # Email of the user you want to invite roles=["<ROLE_NAME>"]) # Roles to assign to the user in the project # Export the project ID and invitation ID for reference pulumi.export("project_id", project.id) pulumi.export("invitation_id", invitation.id)

    In this code:

    • We create a Project resource with the desired organization ID and project name.
    • A ProjectInvitation is then created to send an invitation to the given user email address, assigning them a role within the project.

    When the Pulumi program is deployed, it will create the new project and send out the invitation in your MongoDB Atlas account. You can look up the status of the invitation in the MongoDB Atlas console or by querying the provided invitation_id.

    This Pulumi program is just a starting point. You may want to further customize the project settings, handle roles more dynamically, or set up additional resources like clusters or databases depending on the needs of your AI project.

    Remember, if you're new to Pulumi, the Getting Started Guide is a great place to learn more about how to run Pulumi programs and manage cloud resources.


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