Sold by: EPAM Systems, Inc.
Deployed on AWS
EPAM AI/Run™ for AWS simplifies and accelerates app migration and modernization on AWS using AI, ML, and automation, providing a unified platform for discovery, assessment, and transformation.
Overview
AI/RUN for AWS simplifies and accelerates the migration and modernization of application portfolios for organizations moving to the cloud. Using artificial intelligence, machine learning, and automation, AI/RUN offers a single framework and a unified platform of tools and agents for discovering, assessing, and transforming workloads, all tailored to a client`s complexity and business requirements. It offers tools for portfolio analysis and dependency mapping, as well as actionable recommendations to guide decisions on re-hosting, re-platforming, or refactoring applications. It automates critical tasks such as application discovery, environment provisioning, workload replication, and testing, therefore reducing manual effort and accelerating execution timelines. Automated code analysis supports incremental refactoring. AI/RUN integrates with AWS-native services to enable customers to build modern, cloud-native architectures.
KEY FEATURES INCLUDE:
Unified interface: Orchestrates both migration and modernization from end-to-end via a single interface. Simplifies the engineer experience by seamlessly integrating preferred tools, IDEs, and LLMs. Provides the flexibility to use existing pre-defined templates (assistants) or to customize those assistants - the prompts are visible and so can be tailored to suit.
Automated Portfolio Assessment: AI and machine learning to analyze application portfolios, providing insights into technical complexity, dependencies, and migration readiness. Identifies which workloads are ideal for re-hosting, re-platforming, or refactoring, enabling data-driven decision-making.
Advanced Dependency Mapping: Tools to identify and map interdependencies within applications and infrastructure, ensuring complete visibility into how systems interact. This reduces risks of missed connections and ensures smooth migration and modernization with minimal downtime.
Integrated Automation Workflows: The platform automates critical tasks such as application discovery, environment provisioning, workload replication, and testing, therefore reducing manual effort and accelerating execution timelines. Pre-built workflows minimize complexity for both simple and large-scale transformations.
Legacy Modernization Support: For highly complex, legacy applications, AI/RUN supports incremental refactoring by automating code analysis and integrating with AWS-native services like Lambda, ECS, EKS, and database services to build modern, cloud-native architectures.
Migration Execution Management: The platform manages migration execution from start to finish, ensuring smooth transitions of workloads to AWS with minimal disruption. It offers automated infrastructure, rollback mechanisms, and automated testing to safeguard reliability.
Customizable Modernization Blueprints: AI/RUN enables organizations to create tailored modernization blueprints for applications by leveraging advanced analytics, containerization support, and serverless architecture designs to meet specific business requirements.
Highlights
- AI-Driven Modernization: EPAM AI/Run™ or AWS transforms legacy systems, databases, and VMs into modern, scalable AWS architectures using advanced automation workflows and smart assistance tools.
- Enhanced SDLC Efficiency: Boosts productivity with pre-built AI assistants, customizable workflows, automated QA, and natural language-to-action capabilities, simplifying tasks for developers, analysts, and team leads.
- Enhanced SDLC Efficiency: Boosts productivity with pre-built AI assistants, customizable workflows, automated QA, and natural language-to-action capabilities, simplifying tasks for developers, analysts, and team leads.
Details
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Delivery method
Supported services
Delivery option
Docker Containers
Latest version
Operating system
Linux
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
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.
Vendor refund policy
As the product is offered at no cost, a refund policy is not applicable.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Delivery details
Docker Containers
Supported services: Learn more
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Highlights
- Enhances Bedrock-powered AI integrations, enabling Bedrock capabilities, including agents, flows, and a knowledge base, in a few clicks.
- A Workflow CRON Integration Start Prompt allows users to define initial prompts for scheduled workflows, ensuring more context-aware and precise executions.
- Enhanced assistant navigation features provide streamlined access to assistant details and customizable sidebar controls for an optimized user interface.
- Advanced Excel File Processing in Chat enables users to query, clean, and normalize xlsx data directly in real-time conversational workflows, improving accuracy and error handling.
- Support for exporting individual assistant answers to PPTX, along with a new confirmation modal for clearing conversations, ensures enhanced control and safeguards against accidental data loss.
- In the MCP Toolkit, placeholder support has been expanded with dynamic values, unified URL processing, and recursive template resolution, streamlining server configuration automation.
- Bug fixes include reliable PDF export for chat messages, accurate depiction of integration errors in the UI, and robust enforcement of project-level API permissions to maintain security.
- This release modernizes workflows, delivers advanced automation capabilities, and enhances the user experience - reaffirming AI/RunTM as a comprehensive solution for SDLC and cloud modernization.
Additional details
Usage instructions
The deployment guide with detailed instructions can be found https://github.com/epam/EPAM-AI-RUN-Marketplace?tab=readme-ov-file#4-aws-infrastructure-deployment
Resources
Support
Vendor support
Vendor support : This is a version for educational exploration, provided free of charge, relying on community-based assistance. For deploying enterprise grade version and professional help with building custom-tailored AI solutions contact EPAM Systems - SupportAIRunforAWS@epam.com or https://www.epam.com/services/artificial-intelligence/epam-ai-run-tm#contact . EPAM is a leading digital transformation services and product engineering S&P 500 company. EPAM's Generative AI offering is unique as it provides a comprehensive approach from strategy to execution, leveraging proprietary AI tools, large-scale language model expertise, and global partnerships with major hyperscalers, while operating in over 50 countries with deep AI and data expertise. Alternatively, AI/Run™ for AWS could be deployed in a self-service manner, using publicly available deployment scripts distributed under Apache License Version 2.0, referring to artifacts hosted in Amazon Marketplace ECR.
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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