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Accelerate the modernization of Mainframe and VMware workloads with AWS Transform
- Generative AI has empowered organizations to modernize legacy systems, including mainframes and VMware workloads, to unlock trapped value in internal data.
- AWS Transform addresses challenges in legacy modernization by leveraging agentic AI, automating assessment, planning, and transformation of mainframe and VMware workloads into cloud-based architectures.
- For mainframe migration, AWS Transform automates complex tasks like code analysis, documentation creation, business rule extraction, code decomposition, refactoring, and deployments, accelerating modernization timelines.
- For VMware modernization, AWS Transform automates application discovery, dependency mapping, migration planning, network conversion, and EC2 instance optimization, streamlining the process and reducing manual efforts.
- Key features include code refactoring, prioritized modernization wave planning, network configuration conversion, and dependency-aware migration waves for seamless cutovers.
- AWS Transform enables users to set up the service, manage admin access, interact through a web interface, discover VMware environments, provision resources, and deploy migration waves efficiently.
- With agentic AI capabilities, AWS Transform accelerates and de-risks mainframe and VMware modernization, reducing migration time, minimizing errors, and fostering agile and future-ready IT environments.
- AWS Transform for mainframe is currently available in US East (N. Virginia) and Europe (Frankfurt) Regions, with core features offered at no cost to AWS customers.
- Further resources include in-depth information on mainframe and VMware modernization with AWS Transform, interactive demos, and a survey on AWS News Blog performance.
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