1. Managing User Identities for JupyterHub on AWS EKS with IAM User Login Profiles

    Python

    To manage user identities for JupyterHub on an AWS Elastic Kubernetes Service (EKS) cluster, you would typically have a few key components:

    1. EKS Cluster: The Kubernetes cluster running on AWS.
    2. IAM User: AWS identity with permissions to interact with your infrastructure.
    3. IAM User Login Profile: An IAM login profile for a user that allows IAM user authentication.

    Let's break down the steps needed to set up these resources using Pulumi:

    1. Create an EKS Cluster: Use the aws.eks.Cluster resource to provision a new EKS cluster.
    2. Create an IAM User: Use the aws.iam.User resource to create a new IAM user.
    3. Create an IAM User Login Profile: The aws.iam.UserLoginProfile resource creates a login profile for IAM user authentication.

    Below is an example Pulumi program written in Python that demonstrates how to accomplish these tasks:

    import pulumi import pulumi_aws as aws # Create an AWS EKS Cluster. # For more information, visit: https://www.pulumi.com/registry/packages/aws/api-docs/eks/cluster/ eks_cluster = aws.eks.Cluster("my-cluster", role_arn=my_cluster_role_arn, # ARN of IAM role to attach to EKS cluster vpc_config=aws.eks.ClusterVpcConfigArgs( # VPC configuration public_access_cidrs=["0.0.0.0/0"], security_group_ids=[my_security_group_id], # Security group IDs subnet_ids=my_subnet_ids, # Subnet IDs )) # Create an IAM user for JupyterHub. # For more information, visit: https://www.pulumi.com/registry/packages/aws/api-docs/iam/user/ jupyter_user = aws.iam.User("jupyter-user", tags={"Purpose": "JupyterHubEKSUser"}) # Create a login profile for the IAM user to allow password-based authentication. # For more information, visit: https://www.pulumi.com/registry/packages/aws/api-docs/iam/userloginprofile/ jupyter_user_login_profile = aws.iam.UserLoginProfile("jupyter-user-lp", user=jupyter_user.name, password_reset_required=True, password=pulumi.Config("jupyterUserPassword").require_secret()) # Password retrieved from Pulumi configuration. # Pulumi export: Output the necessary attributes. pulumi.export("eks_cluster_name", eks_cluster.name) pulumi.export("jupyter_user_name", jupyter_user.name) pulumi.export("jupyter_user_login_profile", jupyter_user_login_profile.arn)

    You'll need to supply a few variables like the my_cluster_role_arn, my_security_group_id, and my_subnet_ids, which you'll have from setting up your VPC and creating the IAM role for your cluster.

    Security Note: It's important for security reasons not to hardcode passwords or sensitive data in your Pulumi program. Instead, use Pulumi Config to securely manage this data.

    To run this program:

    1. Install Pulumi and set up your AWS credentials.
    2. Create a new Pulumi project using pulumi new aws-python.
    3. Replace the contents of __main__.py with the code provided above.
    4. Set the configuration secret for the user password using the Pulumi CLI: pulumi config set --secret jupyterUserPassword [password_here].
    5. Run pulumi up to preview and deploy your infrastructure.

    With the resources set up using this program, you can then configure JupyterHub to integrate with AWS EKS using these AWS IAM identities.


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