Category: AWS Transform

Introduction 20× faster. That’s what customers are seeing when AI-powered automation replaces the manual containerization work that used to consume days of senior engineer time per application. “AWS Transform took our applications from source code to running containers on EKS in just 4-8 hours per app. What used to take 8-10 days is now 20 […]

Mainframe modernization has entered the agentic era. At AWS re:Invent 2026, customers will show how AWS Transform, the agentic AI service for migration and modernization, makes decades of business logic visible across mainframe, midrange, and distributed systems. Kiro, the AI-powered development environment from AWS, brings agentic coding to forward engineering. Together, they compress a journey […]

Choose the right workspace and job isolation model so multiple migration teams can run concurrently without conflicts

Migrating an enterprise Java application from Oracle to PostgreSQL is often described as a database project — but with tools like AWS Transform custom, most of the real work lands in the application code. A large Java or Kotlin codebase can carry thousands of Oracle-specific SQL statements, Java Database Connectivity (JDBC) type assumptions, object-relational mapping […]

A Canadian investment management firm needed to exit VMware on a hard deadline. See how they ran two parallel teams on AWS Transform, with AWS Professional Services, to get there safely.

Storage is a crucial component of every enterprise application, and it has the potential to be the most complex part of any cloud migration. Many migration approaches work around that complexity by starting with compute and network, leaving storage as an afterthought and this can lead to storage becoming a late-stage bottleneck. In addition to […]

AccessDenied during an AWS Transform migration is often a missing or incorrect tag. This post shows you how to diagnose and resolve it.

Introduction AWS Transform for migrations lets you orchestrate a centralized, multi-account migration of your workloads to Amazon EC2 from a single location. It coordinates the migration across all your target accounts and applies AI-powered automation to dependency mapping, wave planning, and network configuration, so dependent workloads move together while landing in their intended destination accounts. […]

Moving off on-premises infrastructure used to mean months of discovery spreadsheets, dependency mapping workshops, and hand-built wave plans before a single server moved. At AWS re:Invent 2026, running November 30 to December 4 in Las Vegas, you can see how agentic AI is changing that. AWS Transform uses purpose-built AI agents to automate the migration […]

When you migrate a portfolio of MuleSoft applications to AWS serverless, each application brings its own decisions: how every connector maps to an AWS service, how DataWeave scripts translate to AWS equivalents, and how error-handling strategies carry over. Multiply those decisions across a portfolio, and each migration becomes a one-off exercise. In this post, explore […]