Posted On: Nov 3, 2021
RStudio is the most popular IDE among R developers for data science, statistical analysis, and machine learning. However, deploying, securing, scaling, and maintaining RStudio yourself can be tedious and cumbersome. With RStudio on SageMaker, you can quickly and easily migrate your self-managed RStudio environments. You can bring your RStudio license to SageMaker through AWS License Manager that makes it easy to manage your licenses at no additional charge. In addition, you can easily secure your RStudio environment using several built-in SageMaker capabilities that let you apply fine-grained access controls using AWS Identity and Access Management (IAM) policies, restrict network traffic to your Amazon Virtual Private Cloud (VPC), and automatically encrypt data at rest. Once set up is complete, developers can launch RStudio IDE in a single click and start authoring code in the familiar RStudio interface with access to on demand compute. The fully elastic compute can be dialed up and down without leaving the interface, significantly improving developer productivity.
Amazon SageMaker already comes with SageMaker Studio Notebooks for preparing data, and building and deploying machine learning models. With addition of RStudio on SageMaker, you can now unify your Python and R data science teams in one single place, enabling closer collaboration and efficient administration of your data science organization. Moreover, developers proficient with both R and Python languages can freely switch between RStudio and SageMaker Studio Notebooks. All of your work, including code, datasets, repositories, and other artifacts are synchronized between the two environments through the common underlying Amazon EFS storage.
RStudio on SageMaker is now generally available in sixteen AWS Regions. For more details, please visit our documentation.