AWS Transform Explained: What It Does, What It Costs, and Where It Stops

AWS Transform is an agentic AI workbench for migrating and modernizing selected legacy workloads to AWS, including VMware and other infrastructure estates, Windows and .NET applications, SQL Server databases, mainframes, storage systems, AI workloads, and custom codebases. It uses shared workspaces where specialized agents perform discovery, dependency analysis, migration planning, and code transformation under human approval, building on services such as AWS Migration Hub, AWS Transform MGN, DMS, and Schema Conversion Tool. Most core migration capabilities are described as free, while custom code transformations and continuous modernization are billed at $0.035 per agent-minute; however, organizations must also account for the ongoing cost of the AWS infrastructure that receives the workloads. The service delivers modernized code and applications running on AWS services such as EC2, ECS, EKS, Aurora PostgreSQL, EBS, FSx, and Bedrock, but it does not provide post-migration developer-platform functions such as self-service deployments, preview environments, environment management, RBAC, cluster operations, cost controls, or operational runbooks. The discussion positions AWS Transform as most suitable for large, complex AWS-bound legacy estates and distinguishes it from Migration Hub’s portfolio tracking and MGN’s server rehosting, while arguing that teams may need to build or adopt a separate internal developer platform, such as Qovery or other tooling, to manage day-two application delivery and operations.

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