1. Secure File Transfer to S3 for AI Data Ingestion


    To meet your requirement of setting up a secure file transfer mechanism to S3 for AI Data Ingestion using Pulumi, we will use the AWS Transfer Family service, which allows you to perform secure file transfers to and from Amazon S3 using protocols such as SFTP, FTPS, and FTP.

    Before diving into the Pulumi program, here's a brief overview of the resources we will create:

    1. AWS Transfer Server: This is the managed service that facilitates secure file transfers. We will configure this server to use the SFTP protocol.
    2. S3 Bucket: This is the storage where the files will be transferred for AI Data Ingestion.
    3. IAM Role for AWS Transfer Server: This role allows the AWS Transfer Server to access the S3 bucket where the files will be stored.

    The following step-by-step Pulumi program in Python sets up the complete SFTP transfer mechanism to S3:

    import pulumi import pulumi_aws as aws # Create an S3 bucket to hold the files. This is where the data will be ingested. s3_bucket = aws.s3.Bucket("ai-data-ingestion-bucket") # Create an IAM role that AWS Transfer can assume to interact with the S3 bucket. s3_transfer_role_policy = aws.iam.Policy("s3-transfer-role-policy", policy=pulumi.Output.all(s3_bucket.bucket).apply(lambda bucket_name: f''' {{ "Version": "2012-10-17", "Statement": [ {{ "Effect": "Allow", "Action": ["s3:ListAllMyBuckets", "s3:GetBucketLocation"], "Resource": "*" }}, {{ "Effect": "Allow", "Action": ["s3:ListBucket", "s3:GetBucket*", "s3:PutObject*", "s3:GetObject*", "s3:DeleteObject*"], "Resource": [ "arn:aws:s3:::{bucket_name}", "arn:aws:s3:::{bucket_name}/*" ] }} ] }} ''')) s3_transfer_role = aws.iam.Role("s3-transfer-role", assume_role_policy=aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs( actions=["sts:AssumeRole"], principals=[aws.iam.GetPolicyDocumentStatementPrincipalArgs( type="Service", identifiers=["transfer.amazonaws.com"], )], )]).json) aws.iam.RolePolicyAttachment("s3-transfer-role-policy-attachment", role=s3_transfer_role.name, policy_arn=s3_transfer_role_policy.arn) # Create the AWS Transfer Server using SFTP as the protocol. s3_transfer_server = aws.transfer.Server("s3-transfer-server", protocols=["SFTP"], identity_provider_type="SERVICE_MANAGED", logging_role=s3_transfer_role.arn) # Export the server endpoint to connect via an SFTP client. pulumi.export("sftp_server_endpoint", s3_transfer_server.endpoint)

    This program will result in an S3 bucket configured for data ingestion, and an SFTP endpoint to securely transfer files into the bucket. You would connect to this endpoint using your preferred SFTP client, such as FileZilla or WinSCP, using the credentials provided by AWS once the s3_transfer_server is set up.

    Please note that additional steps like managing users and defining their access are required for a complete production setup, which goes beyond this basic example. These users would have the permissions to interact with the S3 bucket defined in the IAM policy crafted in the s3_transfer_role_policy.