RStudio Server Hosting Live In 5 Minutes

RStudio Server hosting on xCloud lets you deploy RStudio Server from the Rocker project, a browser-based development environment for R, on your own domain. xCloud runs the pinned rocker/rstudio image with built-in sign-in and a generated password, keeps the rstudio user's home on a persistent volume and publishes it over HTTPS, so your projects, settings and installed libraries survive restarts.

  • No terminal
  • No technical skills needed
  • No lock-in, cancel anytime

What is RStudio Server?

RStudio Server is a browser-based integrated development environment for R, and rocker/rstudio is the Rocker project's versioned image with RStudio Server already installed on top of rocker/r-ver. It sits in a stack alongside rocker/tidyverse, rocker/verse and rocker/geospatial, which add packages. A self-hosted RStudio Server gives you an R development environment in the browser, in place of hosted RStudio services. The Rocker build files are GPL-2.0 licensed, and RStudio Server carries its own terms.

On xCloud it is Rocker RStudio 4.6.1, the official image pinned by digest, with authentication kept on and no sudo for the rstudio user. The rstudio_home volume holds /home/rstudio, with projects, user settings and user-installed R libraries. System packages installed into the container itself are recreated from the pinned image on redeploy.

From Sign-Up to a Live RStudio Workspace In Just 3 Easy Steps

An RStudio Server normally means a container, an authenticated user, a home volume, a domain and a certificate before the first script. This is the same result without assembling any of it.

  1. Step 01

    Sign Up

    Create your xCloud account and pick RStudio Server from the OneClick catalog. Choose your domain and target server. There is nothing else to fill in: xCloud generates the password for the rstudio user.

  2. Step 02

    We Deploy It For You

    One click. We bring up the official RStudio Server 4.6.1 image, pinned by immutable digest, mount the rstudio_home volume, and publish it over HTTPS on your domain.

  3. Step 03

    Sign In And Start A Project

    Open your domain and sign in as rstudio with the generated password from the credentials panel. Create an RStudio Project, add an R script and save your work under the home directory, which persists on its own volume.

Everything RStudio Server Does, On Your Own Server

RStudio Server runs in full here: the IDE, the console, the Files pane and package installs, on a persistent home directory.

  • The RStudio IDE In A Browser

    Editor, console, plots, environment and Files panes, served from your own domain.

  • Persistent Projects And Libraries

    /home/rstudio, including projects, settings and user-installed R packages, lives on the rstudio_home volume.

  • Authentication Stays On

    PAM authentication is enabled with a generated password; the rstudio user has no sudo.

  • Pinned Rocker Image

    Rocker's versioned RStudio 4.6.1 image, pinned by immutable multi-architecture digest.

  • Reproducible System Packages

    Packages installed into the container filesystem come back from the image; keep install scripts with your project.

  • Big Data In, The Right Way

    Browser uploads are capped at 100 MB by the proxy; pull large datasets into the volume from an R or Terminal session instead.

Everything You Need To Run Your R Workspace 24/7

Managed hosting for RStudio Server, so the parts that keep it online are not your problem.

  • RStudio Server 4.6.1 deployed instantly
  • Official pinned image digest
  • Sign-in password generated for you
  • Kept behind xCloud nginx on port 8787
  • Free SSL certificate
  • Server backups and snapshots
  • Server security updates included
  • 30+ server locations
  • Unused balance refunded

What You Can Do With RStudio Server

  • Run R analysis on a bigger machine

    Open RStudio in the browser and run heavy models on the server's CPU and memory instead of a laptop, from any browser that can reach your domain.

  • Share one R environment with a small team

    Give a team the same R version and libraries on one server, so scripts behave the same for everyone and nobody debugs a different local install.

  • Keep projects and libraries across restarts

    Store projects, settings and user-installed packages in the home volume, so a restart or redeploy does not send you back to reinstalling packages.

  • Work on the Rocker versioned stack

    Use rocker/rstudio, the RStudio image on rocker/r-ver that the tidyverse, verse and geospatial images extend, and install the packages your project needs into your home library.

RStudio Server vs Alternatives

Hosted RStudio services
A hosted service runs RStudio on the vendor's machines. Here the Rocker image runs on your own Cloud VPS, with your projects in a volume you control and sign-in credentials you hold.
JupyterLab
JupyterLab has its own OneClick page. In an RStudio Server vs JupyterLab comparison, RStudio Server is a dedicated R IDE with projects, a Files pane and a console in the browser.
code-server
code-server has its own OneClick page. RStudio Server is built around R, with RStudio Projects and an R console ready on the Rocker image's R installation.
JupyterHub
JupyterHub has its own OneClick page. This install serves one RStudio user account with one home volume, rather than managing many notebook users.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for RStudio Server hosting. Pick the one that fits, and resize any time.

Cloud VPS 16 GB

Most popular

An R workspace for one analyst with a 4 GB floor and headroom to spare.

$59.99per month

  • 16 GB RAM
  • 6 vCPU cores
  • 200 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Cloud VPS 24 GB

More cores and memory for larger datasets and heavier models.

$84.99per month

  • 24 GB RAM
  • 8 vCPU cores
  • 300 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account.

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy RStudio Server on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

Free

Start your journey without cost.

$0forever

  • 1 server
  • 10 sites
Start free

Starter

Most popular

Your rate with 2–5 servers connected.

$5per server / month

  • 2–5 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Professional

The same platform, discounted at 6–10 servers.

$4per server / month

  • 6–10 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Agency

The same platform, discounted at 11+ servers.

$3per server / month

  • 11+ servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Ready To Run Your Own R Workspace?

RStudio Server on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

Hear what people are saying about us

See why agencies, developers, startups, and growing businesses choose xCloud to power their projects.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

How much RAM does RStudio Server need?

The minimum in the template is 4096 MB of RAM, 2 CPU cores and 10 GB of disk. This page sells the 16 GB plan for larger datasets and models.

Can you self-host RStudio Server with Docker?

Yes, and this template is rstudio server docker hosting without the setup: the official rocker/rstudio image pinned by digest, the rstudio_home volume, a generated password and HTTPS on your own domain, with authentication switched on.

What username does RStudio Server use?

Sign in as rstudio with the generated password from your credentials. The Rocker image uses that non-root user by default. The template keeps authentication on and does not give the user sudo access.

How do I change the RStudio Server password?

Update PASSWORD in the Environment editor and restart the app, because Rocker reapplies it to the rstudio account at startup. Changing the Linux password only inside the container would be overwritten at the next start.

Do R packages persist in RStudio Server?

User-installed R libraries in your home directory persist in the rstudio_home volume. System packages installed into the container filesystem do not, because they are recreated from the pinned image on redeploy.

Can I upload large datasets through the RStudio Files pane?

Only up to the proxy cap of 100 MB per request. R scripts and small datasets fit, but larger CSV, RDS or model files can be rejected before they reach RStudio, so copy big files onto the server another way.

Is RStudio Server free?

The Rocker build files are GPL-2.0 licensed and there is no software fee from xCloud, but RStudio Server has its own licence terms, so check them for your use. You pay for the Cloud VPS, making this an RStudio Server cloud install of your own.

How do I back up RStudio Server?

Back up the rstudio_home volume, which holds /home/rstudio with projects, settings and user-installed libraries, before upgrades or destructive changes. Keep PASSWORD with the backup so the account you restore can be signed in to.

How do I upgrade RStudio Server?

RStudio Server stays on its pinned 4.6.1 image until a newer template version is adopted. Back up the rstudio_home volume beforehand and review the Rocker release notes. Rolling back means restoring that backup with the previous template version, since newer user-library state cannot always be downgraded.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.

Ready to Run Your Own R Workspace?

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