Query Regarding the Necessity of WAF and API Gateway with SageMaker Serverless Inference

Question

We are considering using Amazon SageMaker Serverless Inference for our machine learning model deployment and have some questions about the associated services. Specifically, we would like to understand if it is necessary or recommended to use AWS WAF (Web Application Firewall) and API Gateway in conjunction with SageMaker Serverless Inference.

Could you please provide insights on whether these services are needed for enhanced security, traffic management, or any other reasons? Additionally, if WAF is recommended, would it still be necessary if we are using AWS Direct Connect and a VPN solution for our network connectivity?

We are trying to assess if these additional services would offer significant advantages for our specific use-case, or if our existing network solutions would suffice.

Thanks

Answer

No additional services are strictly required from a functional perspective.

WAF could provide added security benefits like protecting your endpoint from common web exploits and filtering or blocking unwanted traffic. However, if you are using a private VPC and Direct Connect, this may provide sufficient network isolation already.

API Gateway could be useful for exposing your endpoint through REST APIs, handling authentication/authorization, throttling traffic, and monitoring API usage. But again may not be needed if you have your own application/gateway.

SageMaker serverless inference will work without them.

Query Regarding the Necessity of WAF and API Gateway with SageMaker Serverless Inference

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