![]() #Inotebook amazon aws how to#If you do not know how to create a VPC with a public/private subnet, check out this guide. We assume you have an AWS account, in addition to an Amazon VPC with at least one private subnet that is isolated from the internet. Because the network traffic does not traverse the public internet, we significantly reduce the number of vectors bad actors can exploit in order to compromise the security posture of the notebook instance. This architecture allows our internet-disabled SageMaker notebook instance to access S3 files, without traversing the public internet. The lifecycle configuration accesses the S3 bucket via AWS PrivateLink. We attach to that notebook instance a lifecycle configuration that copies an idle-shutdown script from Amazon S3 to the notebook instance at boot time (when starting a stopped notebook instance). We create a SageMaker notebook instance in a private subnet of a VPC. The following diagram describes the solution we implement. These scripts are configured to be run as cron jobs, thus helping to save costs by automatically stopping idle capacity. ![]() The examples in this post will use Notebook instance Lifecycle Configurations (LCCs) to connect to an S3 VPC endpoint and download idle-usage detection and termination scripts onto the notebook instance. Securing your notebook instances within a private subnet helps prevent unauthorized internet access to your notebook instances, which may contain sensitive information. SageMaker notebook instances can be deployed in a private subnet and we recommend deploying them without internet access. This post is for network and security architects that support decentralized data science teams on AWS. In this post, we will demonstrate how to securely launch notebook instances in a private subnet of an Amazon Virtual Private Cloud (Amazon VPC), with internet access disabled, and to securely connect to Amazon Simple Storage Service (Amazon S3) using VPC endpoints. ![]()
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