Amazon SageMaker
Developer Guide

Protect Training Jobs by Using an Amazon Virtual Private Cloud

Amazon SageMaker runs training jobs in an Amazon Virtual Private Cloud by default. However, training containers access AWS resources—such as the Amazon S3 buckets where you store training data and model artifacts—over the internet.

To control access to your data and training containers, we recommend that you create a private VPC and configure it so that they aren't accessible over the internet. For information about creating and configuring a VPC, see Getting Started With Amazon VPC in the Amazon VPC User Guide. Using a VPC helps to protect your training containers and data because you can configure your VPC so that it is not connected to the internet. Using a VPC also allows you to monitor all network traffic in and out of your training containers by using VPC flow logs. For more information, see VPC Flow Logs in the Amazon VPC User Guide.

You specify your private VPC configuration when you create training jobs by specifying subnets and security groups. When you specify the subnets and security groups, Amazon SageMaker creates elastic network interfaces (ENIs) that are associated with your security groups in one of the subnets. ENIs allow your training containers to connect to resources in your VPC. For information about ENIs, see Elastic Network Interfaces in the Amazon VPC User Guide.

Configuring a Training Job for Amazon VPC Access

To specify subnets and security groups in your private VPC, use the VpcConfig request parameter of the CreateTrainingJob API, or provide this information when you create a training job in the Amazon SageMaker console. Amazon SageMaker uses this information to create ENIs and attach them to your training containers. The ENIs provide your training containers with a network connection within your VPC that is not connected to the internet. They also enable your training job to connect to resources in your private VPC.

The following is an example of the VpcConfig parameter that you include in your call to CreateTrainingJob:

VpcConfig: { "Subnets": [ "subnet-0123456789abcdef0", "subnet-0123456789abcdef1", "subnet-0123456789abcdef2" ], "SecurityGroupIds": [ "sg-0123456789abcdef0" ] }

Configuring Your Private VPC for Amazon SageMaker Training

When configuring the private VPC for your Amazon SageMaker training jobs, use the following guidelines. For information about setting up a VPC, see Working with VPCs and Subnets in the Amazon VPC User Guide.

Ensure That Subnets Have Enough IP Addresses

Your VPC subnets should have at least two private IP addresses for each instance in a training job. For more information, see VPC and Subnet Sizing for IPv4 in the Amazon VPC User Guide.

Create an Amazon S3 VPC Endpoint

If you configure your VPC so that training containers don't have access to the internet, they can't connect to the Amazon S3 buckets that contain your training data unless you create a VPC endpoint that allows access. By creating a VPC endpoint, you allow your training containers to access the buckets where you store your data and model artifacts . We recommend that you also create a custom policy that allows only requests from your private VPC to access to your S3 buckets. For more information, see Endpoints for Amazon S3.

The following policy allows access to S3 buckets. Edit this policy to allow access only the resources that your training job needs.

{ "Version": "2008-10-17", "Statement": [ { "Effect": "Allow", "Principal": "*", "Action": [ "s3:GetObject", "s3:PutObject", "s3:ListBucket", "s3:GetBucketLocation", "s3:DeleteObject", "s3:ListMultipartUploadParts", "s3:AbortMultipartUpload" ], "Resource": "*" } ] }

Use default DNS settings for your endpoint route table, so that standard Amazon S3 URLs (for example, http://s3-aws-region.amazonaws.com/MyBucket) resolve. If you don't use default DNS settings, ensure that the URLs that you use to specify the locations of the data in your training jobs resolve by configuring the endpoint route tables. For information about VPC endpoint route tables, see Routing for Gateway Endpoints in the Amazon VPC User Guide.

The default endpoint policy allows users to install packages from the Amazon Linux and Amazon Linux 2 repositories on the training container. If you don't want users to install packages from that repository, create a custom endpoint policy that explicitly denies access to the Amazon Linux and Amazon Linux 2 repositories. The following is an example of a policy that denies access to these repositories:

{ "Statement": [ { "Sid": "AmazonLinuxAMIRepositoryAccess", "Principal": "*", "Action": [ "s3:GetObject" ], "Effect": "Deny", "Resource": [ "arn:aws:s3:::packages.*.amazonaws.com/*", "arn:aws:s3:::repo.*.amazonaws.com/*" ] } ] } { "Statement": [ { "Sid": "AmazonLinux2AMIRepositoryAccess", "Principal": "*", "Action": [ "s3:GetObject" ], "Effect": "Deny", "Resource": [ "arn:aws:s3:::amazonlinux.*.amazonaws.com/*" ] } ] }

Configure the VPC Security Group

In distributed training, you must allow communication between the different containers in the same training job. To do that, configure a rule for your security group that allows inbound connections between members of the same security group For information, see Security Group Rules.

Connecting to Resources Outside Your VPC

If you configure your VPC so that it doesn't have internet access, training jobs that use that VPC do not have access to resources outside your VPC. If your training jobs needs access to resources outside your VPC, provide access with one of the following options:

  • If your training job needs access to an AWS service that supports interface VPC endpoints, create an endpoint to connect to that service. For a list of services that support interface endpoints, see VPC Endpoints in the Amazon VPC User Guide. For information about creating an interface VPC endpoint, see Interface VPC Endpoints (AWS PrivateLink) in the Amazon VPC User Guide.

  • If your training job needs access to an AWS service that doesn't support interface VPC endpoints or to a resource outside of AWS, create a NAT gateway and configure your security groups to allow outbound connections. For information about setting up a NAT gateway for your VPC, see Scenario 2: VPC with Public and Private Subnets (NAT) in the Amazon Virtual Private Cloud User Guide.