Sold by: RELEVANCE LABÂ
Deployed on AWS
This product is a ready-to-use Amazon Machine Image (AMI) that comes with RStudio, a powerful tool for R programming with Amazon DCV. Since Amazon Linux 2 is EOL by June 2026, and Amazon Linux 2023 does not support Amazon DCV this AMI uses Rocky Linux. It is made for data scientists, researchers, and analysts, providing a secure setup to work on R-based development and analytics in AWS.
Overview
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Nginx Authentication
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Rocky Linux Amazon DCV Server Desktop
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Password Setup
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RStudio Desktop Icon
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RStudio Signin Page
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RStudio Homepage
Amazon Linux 2 (AL2) is an older version, and while Amazon Linux 2023 (AL2023) is available, it does not support Amazon DCV. Due to this limitation, the latest Secure Desktop is provided with Rocky Linux 8, ensuring compatibility and enhanced security for remote desktop environments.
Rocky Linux is a free, open-source operating system designed to be a stable and reliable replacement for CentOS, widely used in enterprise and cloud environments. It is maintained by the community and backed by the Rocky Enterprise Software Foundation.
RStudio is an integrated development environment (IDE) for R, a programming language used for statistical computing and data analysis. It provides an easy-to-use interface with features like code editing, visualization, debugging, and package management, making it popular among data scientists and researchers.
Key Features Pre-installed RStudio: Ready-to-use RStudio Server for data analysis and visualization. Rocky Linux Stability: A community-supported, enterprise-grade Linux distribution with long-term support. Optimized for AWS: Configured for seamless integration with AWS services like S3, RDS, and IAM. Secure & Scalable: Includes best practices for security, with SSH access and configurable firewall settings.
Technical Details OS: Rocky Linux version 8.10 Software: RStudio Server version 2024.12.0, R and essential libraries pre-installed, Additional packages available via CRAN Instance Types : Supports a range of EC2 instances, from t3.medium for small workloads to compute-optimized and GPU-backed instances for intensive processing
How to Deploy: Subscribe to the Product in the Marketplace Launch an EC2 instance from AWS Marketplace with the provided AMI. Access RStudio via a web browser (default port 8787). Customize the environment by installing additional R packages and integrating with AWS services.
Highlights
- Data Science & Analytics: Perform statistical analysis and data visualization in an optimized cloud environment.
- Machine Learning Development: Train and test ML models with GPU acceleration and cloud-scale computing.
- Bioinformatics & Scientific Computing: Leverage RStudio vast ecosystem for research and data-driven decision-making.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 8.10
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.00 |
t3.medium | $0.00 |
Vendor refund policy
Not Applicable
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
NA
Additional details
Usage instructions
Quick Usage Summary Subscribe & Launch: Subscribe to the AWS Marketplace product and launch an instance. Access Web Interface: Open a browser and go to https://<Public IPv4 Address>. Login to NGINX: Use default credentials (admin). Set Rocky User Password: After authentication, set a new password for the rocky user. Open RStudio Click Activities Firefox and then navigate to http://localhost:8787Â . Login to RStudio: Use rocky as the username and the password set earlier. Start Using RStudio: You will be directed to the RStudio homepage.
Additional Notes Persistent Data: Ensure you attach an EBS volume for persistent data storage. Security Best Practices: Change the default admin password immediately after first login. Firewall and Security Group: Ensure inbound rules allow access only to trusted users. Performance Considerations: If running heavy computations in RStudio, consider using a larger instance type.
For additional reference please check the attached images for detailed setup guidance. You can also visit the following link for more detailed instructions https://market-place-artifacts.s3.us-east-1.amazonaws.com/Rocky-Linux-Rstudio-v1.pdfÂ
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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