AWS sagemaker medium security documentation change
Summary
Updated platform identifier references from Amazon Linux 2 to AL2023 for JupyterLab 4, added new documentation links, and clarified migration instructions to newer platform versions
Security assessment
The change emphasizes migration to supported JupyterLab 4 platform (notebook-al2023-v1) to ensure security, referencing end-of-support for older versions. While no specific CVE is mentioned, end-of-support implies potential unpatched vulnerabilities in older versions. The documentation update promotes security through maintained environments.
Diff
diff --git a/sagemaker/latest/dg/nbi-jl.md b/sagemaker/latest/dg/nbi-jl.md index dd26ed886..ae68cdb0b 100644 --- a//sagemaker/latest/dg/nbi-jl.md +++ b//sagemaker/latest/dg/nbi-jl.md @@ -15 +15 @@ The Amazon SageMaker notebook instance interface is based on JupyterLab, which i -You can configure your notebook to run your preferred JupyterLab version by selecting the appropriate platform identifier. Use either the AWS CLI or the SageMaker AI console when creating your notebook instance. For more information about platform identifiers, see [Amazon Linux 2 vs Amazon Linux notebook instances](https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-al2.html). If you don’t explicitly configure a platform identifier, your notebook instance defaults to running JupyterLab 1. +You can configure your notebook to run your preferred JupyterLab version by selecting the appropriate platform identifier. Use either the AWS CLI or the SageMaker AI console when creating your notebook instance. For more information about platform identifiers, see [AL2023 notebook instances](./nbi-al2023.html) and [Amazon Linux 2 notebook instances](./nbi-al2.html). If you don’t explicitly configure a platform identifier, your notebook instance defaults to running JupyterLab 1. @@ -47 +47 @@ JupyterLab 1 and JupyterLab 3 platforms reached end of standard support on June -Migrate your work to JupyterLab 4 notebook instances (platform identifier [notebook-al2-v3](https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-al2.html#nbi-al2-instances)) to ensure you have a secure and supported environment. This allows you to leverage the latest versions of Jupyter notebooks, JupyterLab, and other ML libraries. For instructions, see [ migrate your work to an SageMaker AI notebook instance with Amazon Linux 2](https://aws.amazon.com/blogs/machine-learning/migrate-your-work-to-amazon-sagemaker-notebook-instance-with-amazon-linux-2/). +Migrate your work to JupyterLab 4 notebook instances (the latest version's platform identifier is [notebook-al2023-v1](./nbi-al2023.html)) to ensure you have a secure and supported environment. This allows you to leverage the latest versions of Jupyter notebooks, JupyterLab, and other ML libraries. For instructions, see [ migrate your work to an SageMaker AI notebook instance with Amazon Linux 2](https://aws.amazon.com/blogs/machine-learning/migrate-your-work-to-amazon-sagemaker-notebook-instance-with-amazon-linux-2/). @@ -66 +66 @@ JupyterLab 4 support is available only on the Amazon Linux 2 operating system pl -You can run JupyterLab 4 by specifying `notebook-al2-v3` as the platform identifier when creating your notebook instance. +You can run JupyterLab 4 by specifying [notebook-al2023-v1](./nbi-al2023.html) (the latest and recommended version) or [notebook-al2-v3](./nbi-al2.html) as the platform identifier when creating your notebook instance.