AWS' platform is a leading cloud computing platform, offering insights into cloud infrastructure, services, and solutions for developers, businesses, and IT professionals. Through articles, whitepapers, and documentation, AWS offers insights into cloud architecture, serverless computing, and machine learning on AWS. Developers and architects can learn about AWS services like EC2, S3, Lambda, and more to build scalable, secure, and cost-effective cloud applications.

AWS Transform custom is an AI agent that automates code transformations at scale, including Lambda runtime upgrades. Using a SAM-based Python CRUD sample app, the walkthrough shows how to migrate Lambda functions from Python 3.8 to Python 3.13 with a single CLI command. The agent handles planning, code changes, dependency updates, IaC template modifications, and validation end-to-end. It supports interactive mode for hands-on use and non-interactive mode for CI/CD pipelines. For enterprise-scale rollouts, two options are available: batch script execution across multiple repos and containerized execution on AWS Batch with Fargate, both deployable without moving code off existing infrastructure.

Automate AWS Lambda Runtime Upgrades with AWS Transform custom

How to scale this to multiple Lambda function upgrades?