1. Secure Postgres Database Access for AI Model Training


    To secure a PostgreSQL database for AI model training, we will create a PostgreSQL server within Azure using Pulumi. We will need to ensure that the database is private and accessible only within a secure environment. We'll be using the azure-native.dbforpostgresql.Server resource for creating the PostgreSQL server and azure-native.dbforpostgresql.v20210615privatepreview.Server for configuring the server with private access. The private access can be achieved by using a combination of Azure Private Endpoints and Virtual Networks. This will restrict access to the database to only the resources within the same virtual network.

    We'll focus on setting up the following:

    1. A resource group to organize all our resources.
    2. A virtual network and a subnet within that network for our PostgreSQL server.
    3. A PostgreSQL server with secure access controls.
    4. A private endpoint to secure the connection to the PostgreSQL server.

    Here is a Pulumi program written in Python that will accomplish this setup:

    import pulumi import pulumi_azure_native as azure_native # Create an Azure resource group to organize resources within a single location resource_group = azure_native.resources.ResourceGroup('ai-resource-group') # Create an Azure virtual network within the resource group for the PostgreSQL server vnet = azure_native.network.VirtualNetwork( 'ai-vnet', resource_group_name=resource_group.name, address_space=azure_native.network.AddressSpaceArgs( address_prefixes=[''], ), ) # Create a subnet within the virtual network subnet = azure_native.network.Subnet( 'ai-subnet', resource_group_name=resource_group.name, virtual_network_name=vnet.name, address_prefix='', private_endpoint_network_policies='Disabled', ) # Create an Azure PostgreSQL server with secure access controls within the subnet we created postgres_server = azure_native.dbforpostgresql.Server( 'ai-postgres-server', resource_group_name=resource_group.name, location=resource_group.location, sku=azure_native.dbforpostgresql.SkuArgs( name='B_Gen5_2', tier='Basic', ), properties=azure_native.dbforpostgresql.ServerPropertiesForDefaultCreateArgs( create_mode='Default', administrator_login='adminuser', administrator_login_password='complex_password', # Use a strong password in real scenarios version='11', # Specify the desired PostgreSQL version ssl_enforcement='Enabled', storage_profile=azure_native.dbforpostgresql.StorageProfileArgs( backup_retention_days=7, geo_redundant_backup='Disabled', storage_mb=5120, ), network=azure_native.dbforpostgresql.NetworkArgs( delegated_subnet_resource_id=subnet.id, ), ), tags={ "environment": "training", }, ) # Create a private endpoint for the PostgreSQL server private_endpoint = azure_native.network.PrivateEndpoint( 'ai-private-endpoint', resource_group_name=resource_group.name, subnet=azure_native.network.SubnetArgs( id=subnet.id, ), private_service_connection=azure_native.network.PrivateEndpointPropertiesPrivateServiceConnectionArgs( name='ai-postgres-private-connection', private_connection_resource_id=postgres_server.id, is_manual_connection=False, private_link_service_connection_state=azure_native.network.PrivateLinkServiceConnectionStateArgs( status='Approved', description='Private link to PostgreSQL Server', ), ), ) # Output the PostgreSQL server name and the private endpoint ID pulumi.export('postgres_server_name', postgres_server.name) pulumi.export('private_endpoint_id', private_endpoint.id)

    This Pulumi program sets up a secure environment for your AI model training requiring access to a PostgreSQL database. The database is only accessible within the created Azure Virtual Network, meaning it can't be accessed from the public internet, hence providing a secure environment. The PostgreSQL server's firewall prevents unwanted traffic, and the server uses SSL for encryption in transit, which is crucial for protecting your data.

    In real-world usage, remember to secure your database by using strong passwords, strict firewall rules, private networking, and encryption both at rest and in transit. You should also manage secrets like passwords securely, perhaps using a service like Azure Key Vault, rather than including them in plaintext in your Pulumi program.