Building a scalable code modernization solution with AWS Transform custom

This article presents an open-source solution for scaling AWS Transform custom across enterprise codebases using AWS Batch and Fargate.

• Run transformations on 1000+ repositories concurrently with automatic queuing and resource management
• REST API with IAM authentication enables programmatic job submission and bulk batch processing
• Multi-language container supports Java, Python, Node.js with pre-installed build tools and AWS CLI
• Automatic IAM credential management with 45-minute refresh cycles for jobs up to 12 hours
• CloudWatch dashboard provides real-time job tracking, success/failure rates, and API health metrics
• CDK deployment automates Docker image building, ECR push, and all AWS resource provisioning
• Model Context Protocol (MCP) integration extends AI agent with additional tools
• Campaign management enables enterprise-wide migration tracking across multiple repositories

This production-ready infrastructure enables organizations to modernize large codebases efficiently with scalability, reliability, and comprehensive monitoring.