1. Centralizing AI Configuration with Azure App Configuration and Vault


    To centralize AI configuration with Azure App Configuration and Vault, you would use Azure's App Configuration Service to centralize the management and distribution of hierarchical configuration data for different environments and components. Azure Key Vault, on the other hand, would be used to safeguard cryptographic keys and other secrets used by cloud apps and services.

    Azure App Configuration provides a way to store and manage application settings that are kept separate from your code, which allows for easy updates and access to configuration settings without the need for redeployments. Azure Key Vault is designed to store and tightly control access to tokens, passwords, certificates, API keys, and other secrets.

    In a Pulumi program, you would create instances of the necessary resources to set up this centralized configuration setup. These would include a Configuration Store in Azure App Configuration for storing configuration data and a Vault in Azure Key Vault for storing secrets.

    Below is a Pulumi program written in Python that creates an Azure App Configuration store and an Azure Key Vault using the azure-native package. Note that before running this code, you must have the Azure Pulumi provider configured with the right credentials.

    import pulumi import pulumi_azure_native as azure_native # Create an Azure Resource Group resource_group = azure_native.resources.ResourceGroup("aiConfigResourceGroup") # Create an Azure App Configuration Store app_config_store = azure_native.appconfiguration.ConfigurationStore("appConfigStore", resource_group_name=resource_group.name, location=resource_group.location, sku=azure_native.appconfiguration.SkuArgs( name="Standard" # Choose 'Free' SKU for no SLA and limited usage or 'Standard' for production use ), tags={ "Environment": "Dev", "Project": "AIConfiguration" } ) # Create an Azure Key Vault key_vault = azure_native.keyvault.Vault("myKeyVault", location=resource_group.location, resource_group_name=resource_group.name, properties=azure_native.keyvault.VaultPropertiesArgs( sku=azure_native.keyvault.SkuArgs( family="A", name="standard" # The pricing tier for the Key Vault. Possible values are 'standard' and 'premium'. ), tenant_id="your-azure-tenant-id", # Replace with your Azure Tenant ID access_policies=[], enabled_for_deployment=True, enabled_for_disk_encryption=True, enabled_for_template_deployment=True ), tags={ "Environment": "Dev", "Project": "AIConfiguration" } ) # Exporting the names and endpoints of the resources pulumi.export('app_config_store_name', app_config_store.name) pulumi.export('app_config_store_endpoint', app_config_store.endpoint) pulumi.export('key_vault_name', key_vault.name) pulumi.export('key_vault_uri', key_vault.properties.apply(lambda props: props.vault_uri))

    In this program, we first create a Resource Group to organize the resources within Azure. Then, we create an Azure App Configuration store with the 'Standard' SKU, which is suitable for production use but can be changed to 'Free' for limited uses with no SLA. Next, a Key Vault is created to facilitate secure storage and management of secrets. The tenant ID for the Key Vault should be replaced with your specific Azure Tenant ID.

    Finally, we export the names and endpoints of both the configuration store and the Key Vault so that they can be easily referenced if needed.

    By running this Pulumi program, the Azure resources for centralizing AI configuration will be provisioned in your Azure account, which you can then use to manage application settings and secrets.