Amazon SageMaker Canvas announces support for VPC endpoints
Amazon SageMaker Canvas now supports VPC endpoints enabling secure, private connectivity to other AWS services. SageMaker Canvas is a visual point-and-click service that enables business analysts to generate accurate ML models for insights and predictions on their own — without requiring any machine learning experience or having to write a single line of code.
Amazon SageMaker Canvas now supports VPC endpoints enabling secure, private connectivity to other AWS services. SageMaker Canvas is a visual point-and-click service that enables business analysts to generate accurate ML models for insights and predictions on their own — without requiring any machine learning experience or having to write a single line of code.
Amazon SageMaker Canvas runs in an Amazon SageMaker Studio managed VPC by default. You can also run Canvas in your own VPC when you create a SageMaker Studio domain in VPC only mode. This allows connectivity from the Studio domain running Canvas to your VPC without traversing the public internet. Starting today, you can extend this secure connection to other AWS services using VPC endpoints eliminating the need for an internet gateway, a network address translation (NAT) instance, or a VPN connection. With support for VPC endpoints, you can now securely connect from SageMaker Canvas to Amazon S3, Amazon Redshift, Amazon Forecast, Amazon CloudWatch, and Amazon CloudWatch Logs.
VPC support for Amazon SageMaker Canvas including VPC endpoints is available in all AWS regions where Canvas is supported. To learn more and get started, please refer to the Amazon SageMaker Canvas documentation.