Moreover, developers proficient with both R and Python can freely switch between RStudio and Studio notebooks. With RStudio on SageMaker, you can unify your Python and R data science teams in one single place, enabling closer collaboration and centralized administration of your data science organization. SageMaker already comes with Amazon SageMaker Studio notebooks for building and deploying ML models. Meanwhile, you can author R code in the familiar RStudio interface with fully elastic compute that can be dialed up and down without interrupting your work, thereby accelerating model development and improving productivity. You can also monitor logs through Amazon CloudWatch and manage billings through AWS Billing. You can fully secure your RStudio environment using several built-in SageMaker capabilities, such as applying fine-grained access controls via AWS Identity and Access Management (IAM), restricting network traffic to your VPC, and automatically encrypting data at rest. You can bring your current RStudio licenses to SageMaker through AWS License Manager. RStudio on SageMaker offers a quick and easy way to migrate your self-managed RStudio environments to the cloud.
However, building, securing, scaling, and maintaining RStudio yourself can be tedious and cumbersome.
RStudio is one of the most popular IDEs among R developers for data science, statistical analysis, and machine learning (ML). You can now bring the current RStudio licenses and migrate your self-managed RStudio environments to Amazon SageMaker in a few simple steps. Today, we’re excited to announce RStudio on Amazon SageMaker, the industry’s first fully-managed RStudio integrated development environment (IDE) in the cloud.