Sold by: RELEVANCE LAB
Deployed on AWS
Secure, pre-configured RStudio IDE on EC2 Linux. Researchers launch a production-ready R and Python environment with auto-renewing HTTPS in minutes - no server setup required.
Overview
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RStudio Login Page
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RStudio Homepage
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RStudio Server Version Information
Relevance Lab RStudio with EC2 Linux
A pre-configured Amazon Machine Image (AMI) that delivers a secure, ready-to-use RStudio environment on EC2 Linux for scientific research computing. Unlike manually installing RStudio Server on a vanilla EC2 instance - which requires configuring Nginx reverse proxies, generating SSL certificates, resolving package dependencies, and hardening security settings - this AMI provides a production-ready environment that researchers can access securely through their browser within minutes of launch.
What's Included
- RStudio IDE - Full-featured integrated development environment for R and Python
- Pre-installed scientific computing packages commonly used in research workflows
- HTTPS security via AWS Certificate Manager (ACM) certificates and Application Load Balancer (ALB)
- EC2 Linux base optimized for research computing workloads
How It Works
This AMI integrates with AWS Certificate Manager and an Application Load Balancer to provide encrypted HTTPS access to your RStudio instance. The deployment flow is:
- Subscribe to the AMI on AWS Marketplace
- Launch an EC2 instance using the AMI
- Configure an Application Load Balancer with an ACM-issued SSL/TLS certificate
- Access RStudio securely through your browser via the ALB endpoint
This architecture ensures that all traffic between the researcher and the RStudio environment is encrypted in transit using Amazon-issued certificates, eliminating the need for self-signed certificates or manual SSL configuration.
Why This AMI vs. Manual Installation
Researchers who install RStudio Server manually on EC2 typically spend hours resolving Linux library dependencies, configuring web server proxies, obtaining and renewing SSL certificates, and troubleshooting connectivity. This AMI eliminates that entire workflow. Compared to Amazon SageMaker notebooks, this product provides a familiar RStudio desktop-style IDE experience with full R package ecosystem access and persistent storage on EC2, giving researchers complete control over their computing environment without SageMaker's managed notebook constraints.
Key Differentiators
- Security by default - ACM certificates and ALB integration provide enterprise-grade HTTPS without manual certificate management or self-signed certificate risks
- Research-ready - Pre-installed packages for scientific computing eliminate environment setup so researchers begin analysis immediately after launch
- Rapid deployment - Researchers focus on science, not server administration or Linux system configuration
- AWS-native integration - Works with existing VPCs, IAM policies, and AWS security controls
Use Case: Biostatistics Research Workflow
A biostatistics research team analyzing clinical trial data can launch this AMI on a memory-optimized EC2 instance (e.g., r5.xlarge), immediately access pre-installed packages for survival analysis and mixed-effects modeling, import datasets from Amazon S3, run Cox proportional hazards models and generate publication-ready forest plots - all within a single secure browser session. The ALB/ACM architecture ensures that sensitive patient-derived data remains encrypted in transit, meeting institutional review board (IRB) security requirements without requiring the research team to configure SSL infrastructure.
AWS Integration Points
- AWS Certificate Manager (ACM) - Automated SSL/TLS certificate provisioning and renewal
- Application Load Balancer (ALB) - Secure traffic routing and HTTPS termination
- Amazon EC2 - Flexible instance sizing to match workload requirements
- Amazon VPC - Network isolation for sensitive research data
- IAM - Fine-grained access control for multi-user research teams
- Amazon S3 - Store and retrieve research datasets directly from RStudio
Who This Is For
- Academic researchers needing secure, cloud-based R and Python environments
- Research IT teams provisioning standardized computing environments
- Data scientists requiring reproducible analysis platforms
- Institutions seeking to provide scalable research computing without on-premises infrastructure
Evaluation and Getting Started
To evaluate the product at minimal cost, launch the AMI on a t3.micro or t3.small instance to explore the RStudio environment and verify compatibility with your workflows before scaling to larger instance types for production workloads.
After subscribing, launch the AMI on your preferred EC2 instance type, configure the ALB with an ACM certificate for your domain, and access RStudio through your browser. For a detailed deployment walkthrough and architecture guidance, visit the Relevance Lab blog at https://www.relevancelab.com/post/rstudio-research-ec2-linux or contact Relevance Lab support to schedule a guided setup session.
Highlights
- Enterprise grade HTTPS encryption via AWS Certificate Manager and Application Load Balancer provides auto renewing Amazon issued certificates from first launch. Researchers get encrypted browser sessions meeting institutional security requirements with zero certificate management overhead no Nginx proxy configuration, SSL generation, or renewal scripting required.
- Pre installed scientific computing packages for R and Python enable researchers to begin analysis immediately after deployment. This eliminates the hours typically spent resolving Linux library dependencies, package conflicts, and configuration issues on a blank EC2 instance, so teams can focus on research from the first session.
- AWS native deployment integrates with Amazon VPC for network isolation, IAM for fine grained access control, and flexible EC2 instance sizing from t3.medium for individual researchers to r5.xlarge or larger for memory intensive workloads. Stop instances between sessions to optimize costs, making it well suited for grant funded research with variable workload patterns.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Pricing
This product is available free of charge. Free 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.
Dimensions summary
This listing carries the Free pricing model, so you pay no software charge to the vendor. Pricing has one dimension: the t3.large instance billed by the hour. You are charged only for the underlying AWS compute time while the instance runs. Costs scale with how many hours you keep the environment active. There are no separate tiers or add-on options to select. To reduce spend, stop the instance when it is not in use.
Top-of-mind questions for buyers
You get a single t3.large EC2 Linux instance running the RStudio IDE for research. This instance type provides moderate compute and memory for data science work. You are billed per hour the instance runs. The software carries no vendor charge under the Free pricing model.
The software carries no vendor charge, so no software fee accrues when the instance runs or stops. Hourly metering applies to running time only. A stopped instance stops accruing compute charges, but attached AWS storage may still incur standard AWS fees. Stop the instance when idle to reduce spend.
This listing delivers a secure RStudio IDE on an EC2 Linux instance for research. Wider Research Gateway capabilities like budget tracking, collaboration, and governance are part of the vendor's separate SaaS platform. For details on those features, contact the vendor directly.
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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
RStudio Server on Amazon Linux 2023 is a secure, ready-to-use environment for data scientists and researchers. This AMI provides a pre-installed, optimized RStudio Server with automated authentication and security best practices.
Additional details
Usage instructions
Kindly refer the link given below for the userguide
Resources
Vendor resources
Support
Vendor support
Contact Support
For assistance with deployment, configuration, or troubleshooting of the RStudio with EC2 Linux AMI, contact the Relevance Lab support team at rlcloudsupport@relevancelab.com .
Support Scope
The support team can assist with:
- Initial AMI deployment and EC2 instance launch issues
- Application Load Balancer and ACM certificate configuration
- RStudio IDE access and connectivity troubleshooting
- Pre-installed package questions and compatibility guidance
- Instance type sizing recommendations for different workload sizes
- General product usage guidance
Instance Sizing Guidance
For individual researchers running standard statistical analyses, a t3.medium or t3.large instance provides adequate compute. For memory-intensive workloads such as large dataset processing or parallel model fitting, consider r5.xlarge or larger. For teams requiring concurrent access, contact support for multi-user architecture recommendations.
Deployment Prerequisites
Before launching, ensure you have:
- A registered domain name for ALB HTTPS access
- A validated ACM certificate for your domain
- A VPC with at least two public subnets (required for ALB)
- Appropriate IAM permissions to create EC2 instances and ALB resources
AWS Infrastructure Support
For AWS infrastructure issues unrelated to this AMI (billing, account access, EC2 service limits), contact AWS Support directly through your AWS Console.
Refunds
For refund requests related to this product, contact rlcloudsupport@relevancelab.com with your AWS account ID and subscription details.
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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