Amazon EMR on EKS now supports self-hosted notebooks for managed endpoints
We are excited to announce the addition of self-hosted Jupyter notebooks as another mechanism to run interactive workloads via managed endpoints. Amazon EMR on EKS enables customers to run open-source big data frameworks such as Apache Spark on Amazon EKS. Amazon EMR on EKS customers setup and use a managed endpoint (available in preview) to run interactive workloads using an integrated development environments (IDEs) such as EMR Studio.
We are excited to announce the addition of self-hosted Jupyter notebooks as another mechanism to run interactive workloads via managed endpoints. Amazon EMR on EKS enables customers to run open-source big data frameworks such as Apache Spark on Amazon EKS. Amazon EMR on EKS customers setup and use a managed endpoint (available in preview) to run interactive workloads using an integrated development environments (IDEs) such as EMR Studio.
Customers currently rely on EMR Studio to run Jupyter notebooks for their interactive Spark workloads, which provides a managed notebooks solution without having to worry about customizing the execution environment where they run. With self-hosted Jupyter notebooks, customers that require such customization now have a choice of where they control the notebook execution environment, with the flexibility to decide where it runs and the ability to change how to access it, helping them meet their specific business needs.
To learn more about this feature, please visit our documentation. The self-hosted Jupyter notebooks feature is supported on Amazon EMR on EKS 6.10 release and later, and available in all regions where Amazon EMR on EKS is currently available.