1. Integrating Single Sign-On for Data Scientists with AWS Cognito

    Python

    To integrate Single Sign-On (SSO) for Data Scientists using AWS Cognito, you would usually set up a Cognito User Pool and configure it to work as an identity provider. This involves creating a user pool, configuring an app client, and setting up identity providers that can be federated with the user pool if you're integrating with external identity providers.

    AWS Cognito User Pools provide a user directory that can scale to hundreds of millions of users and integrates with SSO via federation with SAML or OIDC providers, so your data scientists can log in through a central identity provider to access AWS services. It also supports enhanced security features like multi-factor authentication (MFA) and risk-based adaptive authentication.

    Here is a program that creates a Cognito User Pool, User Pool Client, and an optional Identity Pool which can be used to federate external identity providers or integrate with other AWS services:

    import pulumi import pulumi_aws as aws # Create an AWS Cognito User Pool. user_pool = aws.cognito.UserPool("dataScientistsUserPool", auto_verified_attributes=["email"], ) # Create a User Pool Client. This is what your application will use to interface with the User Pool. user_pool_client = aws.cognito.UserPoolClient("appClient", user_pool_id=user_pool.id ) # Optionally, if integrating an external identity provider or AWS services, create an Identity Pool. identity_pool = aws.cognito.IdentityPool("identityPool", identity_pool_name="DataScientistsIdentityPool", allow_unauthenticated_identities=False, # Set to `True` to allow unauthenticated access cognito_identity_providers=[aws.cognito.IdentityPoolCognitoIdentityProviderArgs( # The client ID from the User Pool Client client_id=user_pool_client.id, # The User Pool ID provider_name=user_pool.endpoint )], ) # Export the IDs of the resources created. pulumi.export('user_pool_id', user_pool.id) pulumi.export('user_pool_client_id', user_pool_client.id) pulumi.export('identity_pool_id', identity_pool.id)

    In this program:

    • We create a UserPool to manage your data scientists' user accounts and their authentication.
    • We then create a UserPoolClient, which represents an application that can access the UserPool. This will be used to connect your application to the user pool, for sign-up and sign-in actions.
    • Optionally, for advanced scenarios, when you need to integrate the Cognito User Pool with federated identity providers (like corporate SSO), or to provide temporary AWS credentials to access AWS services directly, we create an IdentityPool.

    After setting up the Cognito resources with Pulumi, you would generally continue with configuring your application to use Cognito for authentication - for example, by using libraries like Amazon Cognito Identity SDK for JavaScript in a web app. You will need the User Pool ID and User Pool Client ID in your application's authentication configuration.

    Please note that this is just the beginning, as Cognito allows for complex configurations depending on specific requirements like integrating with social identity providers, customization of authentication workflows with Lambda triggers, and more. Further details on each resource and their configurations can be found by visiting Pulumi's AWS Cognito User Pool documentation, AWS Cognito User Pool Client documentation, and AWS Cognito Identity Pool documentation.


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