1. Secure AI Model Update Notifications using SES DKIM

    Python

    To securely send AI model update notifications, you would use Amazon Simple Email Service (SES) along with DomainKeys Identified Mail (DKIM) to ensure that the emails sent are authenticated and can be trusted by the recipients. DKIM adds a digital signature to the outgoing emails, which recipient mail systems can use to verify that the email was sent by the authorized owner of the domain. This helps to prevent email spoofing and phishing attacks.

    In the Pulumi program below, I will guide you through setting up SES with DKIM for a domain so that you can send secure email notifications about AI model updates. The program will perform the following:

    1. Set up a verified domain identity with Amazon SES.
    2. Enable DKIM on the verified domain.
    3. Create an SES email identity, which is a specific email address you will use to send notifications.
    4. Optionally, create an email template that could be used to send formatted emails.

    Here's a Pulumi program in Python that sets up these AWS SES resources:

    import pulumi import pulumi_aws as aws # Replace with your domain name and email address for SES domain_name = "yourdomain.com" email_address = "notify@yourdomain.com" # Create a new AWS SES Domain Identity for DKIM domain_identity = aws.ses.DomainIdentity( "my-domain-identity", domain=domain_name) # Request AWS SES to create DKIM tokens for your domain. # These DNS records are used to verify that SES is authorized to send email on behalf of your domain. domain_dkim = aws.ses.DomainDkim( "my-domain-dkim", domain=domain_identity.domain) # You will need to add the DKIM tokens to your domain's DNS records. # This is manually done in your DNS provider's management console. pulumi.export('dkim_tokens', domain_dkim.dkim_tokens) # Create a new SES Email Identity to be able to send emails. email_identity = aws.ses.EmailIdentity( "my-email-identity", email=email_address) # Optionally, create an SES email template if you plan to send formatted emails regularly. email_template = aws.ses.Template( "my-email-template", name="MyTemplate", subject="AI Model Update Notification", text="""Hello, Your AI model has been successfully updated. Best regards, AI Team""") # Expose the domain name and email identity as stack outputs pulumi.export('domain_name', domain_identity.domain) pulumi.export('email_address', email_identity.email)

    Explanation:

    • We create a DomainIdentity resource that represents our domain in AWS SES. This setup is necessary to be able to send emails using this domain through SES.
    • We generate DKIM tokens for our domain using the DomainDkim resource. These tokens have to be added to your DNS as CNAME records to complete the DKIM setup. The process for adding these will vary depending on your DNS provider.
    • We establish an email identity using EmailIdentity. This is the email address from which we'll send the notifications.
    • Finally, I've included an optional SES email template setup with Template, in case you want to use a predefined template for sending notifications. You can customize the subject and body text to fit your needs.

    Please note that after running this Pulumi program, you'll need to manually add the DKIM tokens to your DNS settings. This operation depends on your DNS provider and usually involves adding several CNAME records. Once those records are in place, AWS can verify that you own the domain and that you have authorized SES to send emails on your behalf using DKIM for email authentication.

    Remember to replace "yourdomain.com" and "notify@yourdomain.com" with your actual domain and email address you want to use for sending notifications.

    After deploying this Pulumi stack, you will also be able to send emails programmatically using AWS SDKs or the AWS CLI using the verified domain and email address. The stack outputs will provide you with the necessary identifiers for your domain and email identity that you can use for sending emails.