1. MongoDB Atlas Project IP Access for Secure Jupyter Notebooks


    To secure Jupyter Notebooks with MongoDB Atlas, we will need to configure IP access for a MongoDB Atlas project. This will involve creating a project in MongoDB Atlas and then setting up an IP access list to allow traffic only from specific IP addresses that your Jupyter Notebooks will run on.

    We will use the mongodbatlas.Project resource to create a new MongoDB Atlas project and the mongodbatlas.ProjectIpAccessList resource to manage the IP access list for that project. Here is a step-by-step guide on how to accomplish this:

    1. MongoDB Atlas Project: Create a MongoDB Atlas Project where your MongoDB cluster for Jupyter Notebooks will reside.
    2. Project IP Access List: Specify the IP addresses, CIDR blocks, or AWS Security Groups that are allowed to access your MongoDB cluster within the project.

    Make sure you have the pulumi_mongodbatlas Python package installed to use these resources.

    Below is the Pulumi Python program that sets up secure IP access for Jupyter Notebooks with MongoDB Atlas:

    import pulumi import pulumi_mongodbatlas as mongodbatlas # Input your MongoDB Atlas organization ID here org_id = "your-mongo-atlas-org-id" # Create a new MongoDB Atlas project project = mongodbatlas.Project("myProject", org_id=org_id, name="my-jupyter-notebook-project" ) # Define the IP range that your Jupyter Notebooks will use to access Atlas. # This should be an IP address or range from which you will be accessing your notebooks. ip_address = "your-notebook-ip-address" # Create an IP Access List for the project to only allow connections from specified IP addresses ip_access_list = mongodbatlas.ProjectIpAccessList("myIpAccessList", project_id=project.id, cidr_block=ip_address, # This could also be a single IP address comment="Access from my Jupyter Notebook" ) # Export the project ID and IP Access List ID pulumi.export("project_id", project.id) pulumi.export("ip_access_list_id", ip_access_list.id)

    Here's what happens in the program above:

    • We first import the necessary Pulumi packages for use in the script.
    • We then create a new Project in your MongoDB Atlas account by providing it with a required organization ID and a name for the project.
    • Next, we define an IP access list for this project by referring to the newly created project's ID. The access list defines the IP address ranges that are allowed to interact with this project (in this case, the range is set to wherever your Jupyter Notebooks are hosted).
    • Finally, we output the Project ID and IP Access List ID for later reference.

    Replace your-mongo-atlas-org-id with your actual MongoDB Atlas organization ID, and your-notebook-ip-address with the IP address or range of your Jupyter Notebook service. This way, you ensure that only your Jupyter Notebooks have access to your MongoDB Atlas databases, which greatly enhances security.

    Remember, maintaining security practices like IP whitelisting helps protect your data by ensuring only known sources can access your databases. When you set this up for a Jupyter Notebook, you're regulating the network traffic to allow your Notebook environment to interact with MongoDB Atlas securely.