Amazon SageMaker Notebook Instance In VPC
More Info:
Ensure that your Amazon SageMaker notebook instances are running inside a Virtual Private Cloud (VPC) in order to be able to access VPC-only resources such as Amazon EFS file systems or resources which can’t be accessed outside a VPC network. A SageMaker notebook instance is a Machine Learning (ML) compute instance running on Jupyter Notebook software.Risk Level
MediumAddress
Cost optimization, Operational Maturity, SecurityCompliance Standards
CISAWS, HIPAA, ISO27001Triage and Remediation
Remediation
Using Console
Using Console
To remediate the misconfiguration of an Amazon SageMaker Notebook Instance in a VPC for AWS DynamoDB, you can follow these step-by-step instructions using the AWS Management Console:
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Create a VPC Endpoint for DynamoDB:
- Go to the AWS Management Console and navigate to the VPC service.
- In the VPC dashboard, select “Endpoints” from the left-hand menu.
- Click on the “Create Endpoint” button.
- For service category, select “AWS services”.
- For the service name, choose “com.amazonaws.[region].dynamodb” (replace [region] with the appropriate region where your DynamoDB table is located).
- Select the VPC where your SageMaker Notebook Instance is located.
- Choose the route tables where the endpoint should be created.
- Click on the “Create endpoint” button to create the VPC endpoint for DynamoDB.
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Update the Security Group of the SageMaker Notebook Instance:
- Go to the AWS Management Console and navigate to the EC2 service.
- In the EC2 dashboard, click on “Security Groups” from the left-hand menu.
- Find the security group associated with your SageMaker Notebook Instance.
- Edit the inbound rules of the security group to allow inbound traffic from the VPC endpoint created for DynamoDB.
- Add a new inbound rule allowing traffic from the source as the VPC endpoint’s security group and the port used by DynamoDB (default is 443 for HTTPS).
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Update the SageMaker Notebook Instance Configuration:
- Go to the AWS Management Console and navigate to the SageMaker service.
- In the SageMaker dashboard, find your Notebook Instance.
- Click on the Notebook Instance and then click on “Edit”.
- In the Network configuration section, ensure that the Notebook Instance is configured to use the VPC where the VPC endpoint for DynamoDB is created.
- Save the changes to update the Notebook Instance configuration.
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Test the Connection:
- Access the SageMaker Notebook Instance and run a test script or code that interacts with the DynamoDB table.
- Ensure that the Notebook Instance can now successfully connect to and interact with the DynamoDB table without any issues.
Using CLI
Using CLI
To remediate the misconfiguration of an Amazon SageMaker Notebook Instance in a VPC while accessing AWS DynamoDB using AWS CLI, you can follow these steps:
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Create VPC Endpoint for DynamoDB:
- Open the Amazon VPC console.
- In the navigation pane, choose “Endpoints” and then click on “Create Endpoint”.
- Select “com.amazonaws..dynamodb” as the service name.
- Choose your VPC and route tables where the SageMaker Notebook Instance is located.
- Create the endpoint.
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Update Security Group:
- Open the Amazon VPC console.
- In the navigation pane, choose “Security Groups”.
- Find the security group associated with your SageMaker Notebook Instance.
- Edit the inbound rules to allow traffic from the VPC Endpoint for DynamoDB.
- Add a new inbound rule for the DynamoDB service endpoint.
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Update Route Tables:
- Open the Amazon VPC console.
- In the navigation pane, choose “Route Tables”.
- Find the route table associated with your SageMaker Notebook Instance’s subnet.
- Edit the route table to add a route for the DynamoDB service endpoint.
- Set the target of the route to the VPC Endpoint for DynamoDB.
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Test the Connection:
- Connect to your SageMaker Notebook Instance.
- Use the AWS CLI to access DynamoDB tables.
- Verify that you can read and write data to DynamoDB without any issues.
Using Python
Using Python
To remediate the misconfiguration of an Amazon SageMaker Notebook Instance being in a VPC when accessing AWS DynamoDB using Python, you can follow these steps:
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Launch a new SageMaker Notebook Instance in a VPC:
- Go to the Amazon SageMaker console.
- Click on “Notebook instances” from the sidebar menu.
- Click on “Create notebook instance”.
- In the “Notebook instance settings” section, choose the VPC from the dropdown menu.
- Configure other settings as needed and click on “Create notebook instance”.
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Update Security Group settings for the SageMaker Notebook Instance:
- Go to the Amazon EC2 console.
- Click on “Security Groups” from the sidebar menu.
- Find the security group associated with the SageMaker Notebook Instance.
- Edit the inbound rules to allow traffic to AWS DynamoDB. You can add a rule for DynamoDB’s service port (e.g., 443 for HTTPS).
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Update IAM Role permissions for the SageMaker Notebook Instance:
- Go to the AWS IAM console.
- Find the IAM role associated with the SageMaker Notebook Instance.
- Attach a policy that allows the SageMaker Notebook Instance to access DynamoDB. You can use the
AmazonDynamoDBFullAccessmanaged policy for full access or create a custom policy with specific permissions.
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Install necessary Python libraries for DynamoDB access:
- In the Jupyter notebook of the SageMaker instance, install the
boto3library using the following command:
- In the Jupyter notebook of the SageMaker instance, install the
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Write Python code to access DynamoDB:
- In the Jupyter notebook, write Python code using the
boto3library to interact with DynamoDB. Here’s an example code snippet to get started:
- In the Jupyter notebook, write Python code using the
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Test the connection to DynamoDB:
- Run the Python code in the Jupyter notebook to test the connection to DynamoDB. Make sure you can access and interact with the DynamoDB tables without any issues.