AWS Transform のアイコン

AWS Transform Specialized2025年〜

A generative AI-powered service for large-scale cloud transformation and modernization

About 3 min read

What It Does

AWS Transform is a service that uses generative AI to accelerate large-scale cloud transformation and application modernization. AWS experts and AI agents work together to analyze existing on-premises and legacy systems, develop migration plans, automatically convert code, and auto-generate tests. Projects that previously took months to years can be completed in significantly less time.

Use Cases

Migrating from mainframes to cloud-native architectures, .NET Framework to .NET Core migration, containerizing Java applications, large-scale database migration projects, legacy codebase modernization, and converting VMware environments to cloud-native.

Everyday Analogy

Think of building renovation. When converting an old building (legacy system) into a modern smart building (cloud-native), an architect (AWS expert) and AI assistant collaborate to create blueprints and automate the construction process, minimizing disruption to tenants (users) while efficiently completing the renovation.

What Is AWS Transform?

AWS Transform is a generative AI-powered cloud transformation service announced at AWS re:Invent 2024. Using Amazon Q and specialized AI agents, it automates everything from legacy system analysis to modernization planning, code conversion, and test generation. The collaboration between AWS professional services teams and AI delivers significant efficiency gains compared to traditional manual approaches.

Key Features

AWS Transform consists of multiple AI agents. The Discovery agent automatically analyzes existing system architecture, dependencies, and codebases, assessing migration complexity and risk. The Planning agent proposes optimal migration paths and priorities. The Transformation agent executes automatic code conversion and refactoring. The Testing agent auto-generates test cases for converted code to ensure quality.

Supported Transformation Patterns

AWS Transform supports diverse transformation patterns: mainframe (COBOL, PL/I) to cloud-native languages, Windows workloads (.NET Framework) to Linux/containers, VMware environments to AWS-native services, and monolithic applications to microservices. Specialized AI models apply optimal conversion logic for each pattern. For a structured approach to learning about supported transformation patterns, specialized books on Amazon are a useful reference.

Getting Started

To use AWS Transform, initiate an engagement through your AWS account team or partner. The Discovery phase automatically analyzes your existing environment and presents target workloads with recommended transformation paths. After approval, AI agents and AWS experts collaborate to execute the transformation. Progress is tracked in real time via a dashboard, and deliverables from each phase are available for review.

Things to Watch Out For

  • AWS Transform is an engagement-based service requiring a contract through your AWS account team or partner
  • AI-generated conversion results always require human review - it's a human-AI collaboration model, not full automation
  • A phased approach is recommended for large transformation projects - proceed workload by workload rather than converting everything at once
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