Upgrading Lambda function runtimes at scale with AWS Transform custom

This article explains how to use AWS Transform custom, an agentic AI service, to upgrade Lambda function runtimes at scale while managing deprecation timelines and code modernization challenges.

• AWS Transform custom automates runtime upgrades, handling code refactoring like converting callback-based handlers to async/await patterns
• Application teams can run documentation transforms to assess upgrade effort, then execute transformations with validation before deployment
• Platform teams use campaigns to orchestrate upgrades across thousands of functions in multiple AWS accounts with progress tracking
• Cloud infrastructure with AWS Batch and Fargate enables parallel transformation execution supporting up to 128 concurrent jobs
• Charges apply only for active agent work during server-side operations, not for idle time or client-side processing

AWS Transform custom streamlines Lambda runtime upgrades across the software development lifecycle, from risk assessment through validation and deployment.