1. Centralized Authentication for Distributed AI Services using Keycloak


    To create a centralized authentication system for distributed AI services using Keycloak, we will go through the process of setting up the required components on Keycloak using Pulumi's Keycloak provider. The main components we will touch upon are:

    1. Realm: A Keycloak realm manages a set of users, credentials, roles, and groups. A user belongs to and logs into a realm. We will create a realm to act as a dedicated space where your application's resources are managed.

    2. Client: Clients are entities that can request Keycloak to authenticate a user. In the context of AI services, these can be your different AI application services that need to authenticate users or services.

    3. User: Represents the users that will be accessing your AI services.

    4. Role: A role is a designation that can be associated with a user or group. It defines the permissions provided.

    5. Group: Groups in Keycloak allow you to manage a collection of users.

    6. Authentication Flow & Bindings: Define the steps and mechanisms through which a user will be authenticated.

    The goal of this program is to establish these components to enable a centralized authentication system. Let's walk through the Pulumi Python program to set up these components.

    import pulumi import pulumi_keycloak as keycloak # Define a new Keycloak Realm that will manage our AI services ai_services_realm = keycloak.Realm("ai-services-realm", realm="ai-services", enabled=True, displayName="AI Services", # Additional configurations such as email settings, themes, or policies could be set here. ) # Register a client for an AI service within the realm ai_service_client = keycloak.openid.Client("ai-service-client", name="ai-service", realmId=ai_services_realm.id, clientId="ai-service", base_url="http://ai-service.example.com", # Additional settings like redirect URIs, client secrets, or others can be set here ) # Create a new user in the realm ai_service_user = keycloak.User("ai-service-user", realmId=ai_services_realm.id, username="aiUser", emailVerified=True, enabled=True, # You can set initial passwords, required actions, or profile info here ) # Define a role that can be assigned to users or clients ai_service_user_role = keycloak.Role("ai-service-user-role", name="aiUser", realmId=ai_services_realm.id, # Additional configurations like description or composite roles could be set here ) # Create a group for AI service users ai_service_users_group = keycloak.Group("ai-service-users-group", name="AI Service Users", realmId=ai_services_realm.id, # Attributes or further group settings can be added here ) # Define an authentication flow for the realm ai_service_auth_flow = keycloak.authentication.Flow("ai-service-auth-flow", alias="ai-service-authentication", realmId=ai_services_realm.id, description="Authentication flow for AI services", # Additional provider settings or configurations would go here ) # Bind the authentication flow to the realm. This requires setting up the flow first. ai_service_auth_binding = keycloak.authentication.Bindings("ai-service-auth-binding", realmId=ai_services_realm.id, browserFlow=ai_service_auth_flow.alias, # Other bindings like direct grant, reset credentials, etc., would also be set here ) # Output the Keycloak Realm URL which can be used to log in pulumi.export("keycloak_realm_url", pulumi.Output.concat("https://<keycloak-url>/auth/realms/", ai_services_realm.realm))

    This program defines a Keycloak setup suitable for centralized authentication of distributed AI services. Here's what each part does:

    • ai_services_realm: Creates a dedicated space where Keycloak will manage the authentication of your AI services.

    • ai_service_client: Registers an AI service with Keycloak, indicating that it is permitted to request authentication for users.

    • ai_service_user: Defines a user in Keycloak that can access your AI services.

    • ai_service_user_role: Defines a role that can be associated with users to grant specific permissions.

    • ai_service_users_group: Creates a group to organize users.

    • ai_service_auth_flow and ai_service_auth_binding: Defines and binds an authentication flow to the realm. This flow represents the steps a user undergoes to authenticate.

    With this setup, each of your AI services will delegate authentication to Keycloak. When this Pulumi program is deployed, Keycloak will be configured to manage and authenticate users for your distributed AI services, ensuring that access to these resources is secure and centralized.

    In a production environment, you would also need to include secured communication to Keycloak (using HTTPS), manage secrets appropriately, and ensure that the AI services are properly registered with the correct redirect URIs, among other security measures.