Overview
Why Choose cloudimg AMIs?
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
RStudio Desktop IDE - Pre-Configured for AWS by cloudimg
This AMI delivers a fully configured RStudio Desktop environment on Windows Server, backed by 24/7 expert support from cloudimg. Skip hours of manual installation and configuration - launch a production-ready R data science workstation on EC2 and start analyzing data immediately.
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
About cloudimg
cloudimg provides Enterprise Cloud Infrastructure Solutions on AWS, delivering secure, optimized, and pre-configured cloud solutions including operating systems, databases, and specialized tools. With dedicated 24/7 support and a guaranteed response SLA, cloudimg ensures your cloud workloads remain operational and supported.
Why Choose This AMI Over a Manual Installation?
- Immediate productivity - RStudio Desktop and the full R environment are pre-installed and configured, eliminating setup time
- Windows Server integration - Native desktop experience via RDP with proper system integration for file management and authentication
- Expert support included - 24/7 assistance with RStudio configuration, R package installation, data science workflows, and troubleshooting
Pre-Configured IDE Features
The RStudio Desktop environment includes a professional code editor with syntax highlighting, auto-completion, and code folding. The integrated console provides interactive R execution with command history and multi-line input. The workspace browser lets you inspect variables, data frames, and objects in your global environment, while the built-in plot viewer renders graphics from ggplot2, base R, lattice, and plotly.
Data Science Workflow Support
R Markdown and Reproducible Research - Create dynamic reports combining code, output, and narrative text. Generate HTML reports, PDF documents, Word files, presentations, and dashboards directly from your analysis scripts using knitr integration.
Package Management - Access the full CRAN repository, BioConductor packages for bioinformatics, and GitHub packages. The built-in package manager handles installation, dependencies, and version control.
Data Import and Manipulation - Connect to CSV files, Excel spreadsheets, databases via DBI and ODBC, JSON APIs, and XML sources. Use dplyr and tidyr for data wrangling, filtering, grouping, joining, and reshaping.
Statistical Analysis - Perform descriptive statistics, hypothesis testing, regression modeling, ANOVA, time series analysis, survival analysis, multivariate methods, and machine learning workflows.
Visualization - Build publication-quality graphics with ggplot2, create interactive visualizations with plotly, and develop real-time dashboards with Shiny integration.
Version Control and Collaboration
Built-in Git integration supports commit, branch, diff, and push/pull workflows directly from the IDE. Manage repositories, track changes, and collaborate with team members using GitHub or other Git hosting services. RStudio Projects keep working directories, settings, and file organization consistent across sessions.
Deployment Details
Supported Platforms: Windows Server 2019 and Windows Server 2022
Access Method: Remote Desktop Protocol (RDP) on port 3389
Recommended Instance Types: Choose based on your workload - general purpose instances (e.g., m5 or m6i family) for standard analysis, memory-optimized instances (e.g., r5 or r6i family) for large datasets and statistical modeling
Security Group Configuration: Allow inbound TCP port 3389 from your IP range for RDP access. Restrict access to known IP addresses rather than opening to all traffic.
Example Use Case: Bioinformatics Research
A research team analyzing genomic data can launch this AMI on a memory-optimized instance, install BioConductor packages for their specific pipeline, and begin processing sequencing data within minutes. R Markdown documents capture the entire analysis workflow for reproducible publication, while the plot viewer renders complex genomic visualizations. When package conflicts or performance issues arise, cloudimg support provides expert troubleshooting.
Getting Started
- Launch the AMI on your chosen EC2 instance type
- Configure your security group to allow RDP access (port 3389)
- Connect via Remote Desktop using your instance credentials
- Open RStudio Desktop from the Windows desktop
- Install additional R packages as needed for your workflow
- Contact support@cloudimg.co.uk for configuration assistance
Support Scope
cloudimg support covers RStudio configuration, R package installation assistance, Windows Server environment issues, data science workflow guidance, performance optimization recommendations, and general troubleshooting.
Highlights
- 24/7 Expert Support with Guaranteed 24-Hour Response - cloudimg provides round-the-clock technical assistance via email for RStudio configuration, R package installation, data science workflow guidance, and Windows Server troubleshooting. Every support request receives a response within 24 hours, ensuring your data science workloads stay productive without extended downtime.
- Pre-Configured RStudio Desktop IDE for Immediate Productivity - Skip manual installation and configuration. This AMI includes RStudio Desktop with the full R environment, integrated code editor with syntax highlighting and auto-completion, plot viewer with ggplot2 support, R Markdown for reproducible research, built-in package manager with CRAN access, Git version control integration, and Shiny app development capabilities.
- Production-Ready Windows Server Platform for Data Science - Deployed on Windows Server 2019 or 2022 with RDP access on port 3389. Suitable for statistical analysis, data visualization, machine learning workflows, bioinformatics research, financial modeling, and academic research. Choose memory-optimized EC2 instances for large datasets or general purpose instances for standard analysis workloads.
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Dimension | Description | Cost/hour |
|---|---|---|
t3.large Recommended | t3.large instance type | $0.10 |
t3.micro | t3.micro instance type | $0.06 |
t2.micro | t2.micro instance type | $0.06 |
c6id.24xlarge | c6id.24xlarge instance type | $0.28 |
g5.24xlarge | g5.24xlarge instance type | $0.28 |
z1d.12xlarge | z1d.12xlarge instance type | $0.28 |
i4i.2xlarge | i4i.2xlarge instance type | $0.28 |
m5d.4xlarge | m5d.4xlarge instance type | $0.28 |
c6in.large | c6in.large instance type | $0.10 |
r5dn.12xlarge | r5dn.12xlarge instance type | $0.28 |
Vendor refund policy
Refunds available on request.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Latest Windows security updates applied (patch cycle 21-04-2026). Previous version: 'RStudio on Windows Server 2019 - 01-09-2025'.
Additional details
Usage instructions
Please visit the User Guide for this product on the cloudimg website for full deployment and configuration instructions.
Resources
Vendor resources
Support
Vendor support
cloudimg 24/7/365 Technical Support
cloudimg provides continuous technical support for this RStudio AMI, available every day of the year.
Contact: support@cloudimg.co.uk
Response Time: Guaranteed 24-hour response to all support requests.
Support Scope:
- RStudio Desktop configuration and settings
- R package installation and dependency resolution
- Windows Server environment troubleshooting
- Data science workflow guidance and best practices
- Performance optimization recommendations
- RDP connectivity and access issues
- General R environment troubleshooting
Getting Help:
Email your support request to support@cloudimg.co.uk with a description of the issue, your instance ID, and any relevant error messages. A cloudimg engineer will respond within 24 hours with guidance or a resolution plan.
Refunds and Billing:
For questions about charges, billing, or refund requests, contact support@cloudimg.co.uk with your AWS account details and subscription information.
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