Category: AWS Transform

Traditional VMware migrations have long suffered from fragmentation and inflexibility. Enterprises had to cobble together disconnected tools for discovery, planning, network configuration, and rehosting, each requiring specialized expertise and lengthy manually orchestrated handoffs. These rigid, rules-based tools can’t adapt to each customer’s unique environment, resulting in compounding costs, expensive customizations, and timelines that stretch into […]

Introduction AWS Transform Custom (ATX) automates code modernization at scale. What makes it different from running an AI coding assistant on each repo is that it learns. Each execution captures patterns, fixes, and edge cases as reusable knowledge, so transformations get faster and more reliable with every run. If you’ve got hundreds of Java 8 […]

A year ago, we launched AWS Transform with one mission: modernize the world’s infrastructure and applications. 12 months in, here’s what 4.5+ billion lines of code processed, hundreds of thousands of servers migrated, and saving customers 1.6+ million hours taught us about migration, modernization, and why this work cannot wait. Why this matters more than […]

Migrating hundreds of servers from an on-premises VMware environment to AWS involves coordinating across teams, accounts, and tools. You need to set up your target environments, plan waves, deploy replication agents, monitor their progress, run tests, and perform cutover, often across multiple AWS accounts. Each step can be challenging on its own, requiring careful planning […]

Introduction If you’re migrating code at scale across hundreds of repositories, you need reproducible results across runs. Large language model (LLM)-based agents, by definition, rely on the probabilistic nature of LLMs where each result is generated from a variety of potentially probable outcomes. In a short-horizon task, this nondeterminism is manageable. In a long-horizon task […]

AWS Transform for mainframe replatform is a migration service that helps organizations accelerate the modernization of their mainframe workloads to AWS. As organizations pursue their mainframe modernization journey, migrating mainframe systems to AWS has become a strategic imperative. The service provides an end-to-end automated migration pathway, including tooling, guidance, and self-managed runtime environments with Rocket […]

Introduction When planning or executing a cloud migration, you face a choice between migration strategies: rehost your applications quickly to meet data center exit deadlines, or invest the time to modernize and replatform them into cloud-native architectures. Modernization can take many forms, from serverless architectures, managed services, containers, or a combination, depending on the workload […]

Introduction AWS Transform is an AI-powered service that accelerates enterprise modernization of VMware workloads, Windows, mainframe, and application code. It provides two key offerings for VMware migration planning: AWS Transform Assessments generates a complimentary, data-driven business case for your VMware infrastructure, including cost analysis, right-sizing recommendations, and migration planning. AWS Transform for VMware automates the […]

Estimated time to complete: 90–120 minutes  Level: Advanced (400)   Microsoft ended extended support for Visual Basic 6.0 (VB6) in 2008, yet thousands of mission-critical applications across financial services, insurance, healthcare, and manufacturing still depend on it.  These applications contain decades of business logic, but maintaining them becomes more difficult each year.  VB6 developers are increasingly expensive to hire as fewer remain in the […]

Application modernization often begins with a difficult task: comprehensive legacy codebase analysis to understand how the system works. Many legacy applications evolve over years of incremental changes, leaving teams with limited documentation, tightly coupled dependencies, and business logic spread across multiple services and modules. For engineering teams, this lack of visibility creates a common challenge. […]