1. Serverless Endpoint for Secure Atlas Connectivity

    Python

    To create a serverless endpoint for secure Atlas connectivity, you would typically use a managed database service like MongoDB Atlas and set up a PrivateLink endpoint to ensure that the connectivity to the database instance is secure and does not go over the public internet. However, the process can vary depending on the cloud provider you're using.

    The snippet below demonstrates how to use Pulumi to provision a PrivateLink Endpoint Serverless resource on MongoDB Atlas. The endpoint will allow secure, private connectivity to the MongoDB Atlas service.

    Here's the structure of what we will do in the Pulumi program:

    1. Configure the MongoDB Atlas provider.
    2. Define a mongodbatlas.PrivatelinkEndpointServerless resource.
    3. Export any necessary outputs, such as the endpoint service name or ID.

    Now, let's dive into the code:

    import pulumi import pulumi_mongodbatlas as mongodbatlas # Configure your MongoDB Atlas project ID and provider. project_id = 'your-atlas-project-id' provider_name = 'AWS' # or 'AZURE', 'GCP' depending on the cloud service you use. region = 'your-region' # the region where you wish to deploy your PrivateLink Endpoint # Instantiate a serverless endpoint for MongoDB Atlas. # You will need to fill in `instanceName` with the cluster's instance name. privatelink_endpoint_serverless = mongodbatlas.PrivatelinkEndpointServerless( "secure-atlas-connection", project_id=project_id, instance_name="your-instance-name", # Replace with your cluster's instance name provider_name=provider_name, region=region ) # Export the PrivateLink Endpoint ID and Service Name as stack outputs. pulumi.export('endpoint_id', privatelink_endpoint_serverless.endpoint_id) pulumi.export('endpoint_service_name', privatelink_endpoint_serverless.endpoint_service_name)

    In this program, we begin by importing the required modules. We then configure the MongoDB Atlas project ID and define our provider name, which could be AWS, Azure, or GCP depending on where our Atlas cluster is hosted.

    We then set up a PrivatelinkEndpointServerless resource which creates a PrivateLink Endpoint inside the specified project and associates it with a given instance name. Replace the placeholder your-instance-name with the actual name of your MongoDB Atlas serverless instance.

    Finally, we export the endpoint_id and endpoint_service_name as stack outputs so that they can be easily accessed. These outputs are useful for configuring your application to use this new secure endpoint for database connectivity.

    Please replace placeholders like your-atlas-project-id, your-region, and your-instance-name with actual values that are relevant to your MongoDB Atlas setup. The region should match the region where you want to create the PrivateLink endpoint.

    Once this code is executed with Pulumi, it will provision the necessary resources in MongoDB Atlas, allowing you to establish a secure, private connection to your database service.