At the same time as AWS Transform has hit General Availability, AWS updated its service terms with a new requirement.

AWS Transform integrates with AI coding agents via Model Context Protocol to enable migration planning and execution directly within developer workflows.

This post is co-written with Sudeesh Sasidharan and Nick Sciarrilli from OpenAI AWS Transform for mainframe handles the reverse engineering of the critical business logic embedded in your COBOL, PL/I, and JCL codebase, discovering business functions, extracting business rules with source-line traceability, and generating technology-agnostic requirements in a structured format. Modernization at enterprise scale demands [...]

Introduction If you already work with an AI coding agent, you know how much they can do. Tools like Kiro, Claude Code, and Cursor read repositories, reason over code, and drive multi-step tasks from an IDE or terminal. They’re excellent general-purpose AI coding agents, built to help with everyday software development tasks. But planning and [...]

Guide to resolving PV driver and boot failures when migrating Windows Server 2008 to AWS Xen-based EC2 instances using AWS Transform MGN.

Groups Conversations All groups and messages Sign in     Experience AWS Transform through interactive demos 0 views Eyal Estrin unread, 7:27 AM (27 minutes ago)    to https://aws.amazon.com/blogs/migration-and-modernization/explore-aws-transform-through-interactive-demos/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Groups Conversations All groups and messages Sign in     Forward engineering AWS Transform-generated business requirements with OpenAI Codex 0 views Eyal Estrin unread, 10:28 AM (8 minutes ago)    to https://aws.amazon.com/blogs/migration-and-modernization/forward-engineering-aws-transform-generated-business-requirements-with-openai-codex/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Groups Conversations All groups and messages Sign in     Modernize .NET repos at scale with the AWS Transform web experience 0 views Eyal Estrin unread, 10:27 AM (26 minutes ago)    to https://aws.amazon.com/blogs/dotnet/modernize-net-repos-at-scale-with-the-aws-transform-web-experience/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

This post is written by Uma Ramadoss, Principal Specialist SA, Serverless and Dhiraj Mahapatro, Principal Specialist SA, Amazon Bedrock AWS Step Functions is introducing variables and JSONata data…

AWS and SAP have announced an expanded collaboration to enhance cloud ERP experiences and unlock new enterprise innovation with Gen AI

Overview Many organizations still run Windows Server 2008 workloads that cannot be upgraded before migration due to application dependencies, vendor support constraints, or licensing limitations. When migrating these servers to AWS using AWS Transform MGN, the choice of target Amazon EC2 instance type determines which drivers the guest operating system needs to communicate with the [...]

At the same time as AWS Transform has hit General Availability, AWS updated its service terms with a new requirement.

Perform extract, transform, load (ETL) operations on data by using AWS Glue

AWS Transform and OpenAI Codex enable mainframe modernization by reverse-engineering legacy COBOL/PL/I code into business requirements, then forward-engineering them into cloud-native microservices with full traceability and automated validation.

An intent-based multi-agent workflow can transform how cloud operations and application workflows are designed on AWS. Instead of relying on a single AI agent, the architecture separates responsibilities across specialized agents that collaborate based on the user's intent.

Modernize applications at scale with this new AI-powered service that learns your organization's patterns, automates transformations across repositories, and cuts execution time by up to 80% through b...

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In my first AWS Builder Center article, I share how learning from other creators inspired me to transform curiosity into projects, document my journey, and build with purpose

AWS Transform expands its assessment capability with a new storage analysis feature, helping customers analyze their on-premises detached storage infrastructure and determine the Total Cost of Ownership (TCO) for migrating to AWS. AWS Transform assessment now evaluates customers' existing storage infrastructure, including Storage Area Network (SAN), Network Attached Storage (NAS), file servers, object storage, and virtual environments, providing detailed migration recommendations to AWS services such as Amazon S3 for object storage, Amazon EBS for block storage, and Amazon FSx for specialized file systems. The assessment delivers a comprehensive TCO comparison between current and AWS environments, along with performance and cost optimization recommendations for compute and storage workloads. With storage accounting for up to 45% of total migration opportunities, AWS Transform assessment helps customers visualize the benefits of different AWS migration options. AWS Transform assessments is available in the following AWS Regions: US East (N. Virginia) and Europe (Frankfurt). To get started, visit the AWS Transform web experience.

Groups Conversations All groups and messages Sign in Machine Learning, Deep Learning and AI Conversations About Privacy • Terms     How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore 0 views Eyal Estrin unread, 11:58 AM (14 minutes ago)    to https://aws.amazon.com/blogs/machine-learning/how-aws-smgs-uses-an-ai-powered-conversational-assistant-to-transform-business-management-with-amazon-bedrock-agentcore/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Insights and Lessons Learned from Wix's Implementation of AWS SageMaker Batch Transform for Streamlined ML Deployment at scale. Photo by Lajos Szabo on UnsplashIntroductionHello, fellow data enthusiasts! Today, I'm excited to share a behind-the-scenes look at a project we did at Wix — we're implementing AWS SageMaker Batch Transform to run machine learning models at scale. As I started working with SageMaker Batch Transform, I realized that practical documentation and examples were lacking, part