1. DDoS Protection for Inference API Endpoints


    To protect your Inference API endpoints from Distributed Denial of Service (DDoS) attacks, you would typically want to employ cloud services designed for DDoS mitigation. Cloud providers like AWS, Azure, and Google Cloud offer DDoS protection services that can be integrated with your applications to help safeguard your infrastructure.

    For the purpose of demonstration, let's assume you are deploying your Inference API on AWS, and you want to protect it using AWS Shield, which is a managed DDoS protection service that safeguards applications running on AWS.

    AWS Shield provides two levels of protection:

    • AWS Shield Standard: Automatically provides protection for all AWS customers at no additional charge. This protects against most common, frequently occurring network and transport layer DDoS attacks.
    • AWS Shield Advanced: Provides enhanced protections for higher-level DDoS attacks and is a paid service. It includes 24/7 support, DDoS cost protection, and access to additional DDoS mitigation capabilities.

    Assuming you have your Inference API deployed behind an Application Load Balancer (ALB) on AWS, you would use Pulumi to create a Protection resource using the aws.shield module which associates the ALB with AWS Shield Advanced.

    Here is a Pulumi program, written in Python, to create DDoS protection for your Inference API endpoints. This program assumes that you already have an Application Load Balancer to which you want to attach the protection:

    import pulumi import pulumi_aws as aws # Replace 'my-api-load-balancer' with the ARN of your actual AWS Application Load Balancer. load_balancer_arn = "arn:aws:elasticloadbalancing:us-west-2:123456789012:loadbalancer/app/my-api-load-balancer/50dc6c495c0c9188" # Creating AWS Shield Protection for the Application Load Balancer. api_protection = aws.shield.Protection("apiProtection", resource_arn=load_balancer_arn, # Tags are optional metadata that you can add tags={ "Name": "InferenceAPIProtection" } ) # Export the ID of the Shield Protection to be used as an output of the Pulumi program. pulumi.export("protection_id", api_protection.id) # For more information on AWS Shield and DDoS Protection, refer to the documentation: # AWS Shield: https://www.pulumi.com/registry/packages/aws/api-docs/shield/protection/

    This program creates an instance of aws.shield.Protection. The resource_arn parameter is the Amazon Resource Name (ARN) of the Application Load Balancer for the Inference API. Once this protection resource is created, AWS Shield Advanced will begin monitoring and protecting the specified endpoint against DDoS attacks.

    Please ensure your Pulumi stack is configured for the AWS provider and that you have the appropriate permissions to create a shield protection.

    Remember to replace 'my-api-load-balancer' with the actual ARN of your AWS Application Load Balancer that serves as the endpoint for your Inference API. You may also consider handling network ACLs, security group settings, and AWS WAF (Web Application Firewall) configurations for further hardening of your setup.

    If you have your infrastructure on a different cloud provider or have additional requirements, let me know, and I can provide a Pulumi program tailored to that environment.