Phil de Valence

Enterprises are trapped by legacy monoliths that drain billions in maintenance while stifling innovation. Traditional event storming relies on fragmented human memory and disappearing institutional knowledge.

Legacy monolithic codebases trap organizations in technical debt and slow innovation. Generative AI tools, including Amazon Q and AWS Transform, accelerate modernization through automated dependency analysis, code refactoring, and microservices migration.

Mainframe estates often contain a diverse mix of legacy applications with varying requirements and objectives, necessitating the need for multiple toolsets, modernization patterns, and deployment options.

Replatforming modernizes infrastructure and processes while minimizing application changes. Whether you want to gain agility, reduce costs, or mitigate mainframe risks, the AWS Mainframe Modernization Replatform solution, which uses Micro Focus Enterprise technology, modernizes with speed and quality.

Join this session to hear about AWS Mainframe Modernization service, a new platform for migrating, modernizing, running, and operating mainframe applications. Learn how you can analyze, assess, migrate, and deploy on-premises mainframe workloads onto AWS.

Mainframe workloads are typically large, tightly coupled monoliths. Enterprises may initially choose a rip and replace approach and manually rewrite cloud-native microservices.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. Most enterprises or public institutions have some non-x86 legacy systems in their data centers.