Amazon SageMaker
Developer Guide

Give Batch Transform Jobs Access to Resources in Your Amazon VPC

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

To control access to your model containers and data, 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 model 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 model 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 a model by specifying subnets and security groups. You then specify the same model when you create a batch transform job. 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 model containers to connect to resources in your VPC. For information about ENIs, see Elastic Network Interfaces in the Amazon VPC User Guide.

Configure a Batch Transform Job for Amazon VPC Access

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

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

Configure Your Private VPC for Amazon SageMaker Batch Transform

When configuring the private VPC for your Amazon SageMaker batch transform 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 transform 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 model containers don't have access to the internet, they can't connect to the Amazon S3 buckets that contain your data unless you create a VPC endpoint that allows access. By creating a VPC endpoint, you allow your model 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.

To create an S3 VPC endpoint:

  1. Open the Amazon VPC console at https://console.aws.amazon.com/vpc/.

  2. In the navigation pane, choose Endpoints, then choose Create Endpoint

  3. For Service Name, choose com.amazonaws.region.s3, where region is the name of the region where your VPC resides.

  4. For VPC, choose the VPC you want to use for this endpoint.

  5. For Configure route tables, select the route tables to be used by the endpoint. The VPC service automatically adds a route to each route table you select that points any S3 traffic to the new endpoint.

  6. For Policy, choose Full Access to allow full access to the S3 service by any user or service within the VPC. Choose Custom to restrict access further. For information, see Use a Custom Endpoint Policy to Restrict Access to S3.

Use a Custom Endpoint Policy to Restrict Access to S3

The default endpoint policy allows full access to S3 for any user or service in your VPC. To further restrict access to S3, create a custom endpoint policy. For more information, see Using Endpoint Policies for Amazon S3. You can also use a bucket policy to restrict access to your S3 buckets to only traffic that comes from your Amazon VPC. For information, see Using Amazon S3 Bucket Policies.

Restrict Package Installation on the Model Container

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 Route Tables

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 batch transform 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.

Configure the VPC Security Group

In distributed batch transform, you must allow communication between the different containers in the same batch transform 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.

Connect to Resources Outside Your VPC

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

  • If your batch transform 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 batch transform 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.