RStudio Workbench Release 2021.09.0+351.pro6

RStudio Server enables you to provide a browser based interface (the RStudio IDE) to a version of R running on a remote Linux server. Deploying R and RStudio on a server has a number of benefits, including:

• The ability to access R sessions from any computer in any location;
• Easy sharing of code, data, and other files with colleagues;
• Allowing multiple users to share access to the more powerful compute resources (memory, processors, etc.) available on a well equipped server; and
• Centralized installation and configuration of R, R packages, TeX, and other supporting libraries.

This manual describes RStudio Workbench, which adds many enhancements to the open-source version of RStudio Server, including:

• The ability to run multiple concurrent RStudio IDE sessions per-user.
• Flexible use of multiple versions of R on the same server.
• The ability to run sessions on external cluster nodes, such as Kubernetes or Slurm.
• Support for Jupyter, JupyterLab, and VS Code editor sessions.
• Project sharing for easy collaboration within workgroups.
• Load balancing for increased capacity and higher availability.
• An administrative dashboard that provides insight into active sessions, server health, and monitoring of system-wide and per-user performance and resource metrics;
• Authentication using system accounts, ActiveDirectory, LDAP, SAML, OpenID, or Google Accounts;
• Full support for PAM (including PAM sessions for dynamically provisioning user resources);
• Ability to establish per-user or per-group CPU priorities and memory limits;
• HTTP enhancements including support for SSL and keep-alive for improved performance;
• Ability to restrict access to the server by IP;
• Customizable server health checks; and
• Suspend, terminate, or assume control of user sessions; Impersonate users for assistance and troubleshooting.

The documentation applies to both RStudio Server (Open Source) and RStudio Workbench (Pro), unless the section is specifically marked Pro, in which case it only applies to RStudio Workbench.