aws-transform

Automate AWS SDK migration across multiple repositories by providing target repositories and runtimes to AWS Transform. It matches applicable transformation definitions and executes changes, supporting local execution for small projects and remote execution via AWS Batch or Fargate for hundreds of repositories at scale.

Yes, you can upgrade Java and Python language versions automatically. AWS Transform automates language version upgrades by applying repeatable transformations across your repositories using target runtimes and matched transformation definitions.

The best way to handle large-scale framework migrations is using remote execution via AWS Batch and Fargate. AWS Transform automates framework migrations and library upgrades at scale, transforming hundreds of repositories concurrently using matched transformation definitions.

You do not need AWS Batch or Fargate for small-scale projects. AWS Transform supports local execution for small repository sets, but remote execution via AWS Batch and Fargate is required to automate code upgrades across hundreds of repositories at scale.

Yes, AWS Transform supports code analysis, documentation generation, and custom transformations via natural language. You provide the target repositories and desired transformations, and the system plans and executes the changes automatically.

Local execution for automated code upgrades is limited to small-scale projects. To execute transformations across hundreds of repositories, you must transition from local execution to remote execution using AWS Batch or Fargate infrastructure.