Google Cloud Mainframe Modernization with generative AI

Assess and analyze your mainframe estate, applications, and data to determine the best path forward with modernization. Google Cloud Mainframe Assessment Tool (MAT), enhanced with Gemini models, provides comprehensive code analysis, code explanations, application logic, and specification summaries, automated application documentation creation, identification of application dependencies, and generation of test cases.

MAT leverages Gemini models that are customized with mainframe-specific context.

Reimagine and modernize your mainframe applications for the cloud era. Google Cloud's Mainframe Modernization Code Rewrite integrates with with Gemini Code Assist and leverages advanced generative AI to analyze and reimagine your legacy mainframe code into modern languages such as Java within an IDE that’s easy and natural for developers to use.

Benefit from fully modernized applications and application architectures with increased agility, scalability, and security, while reducing maintenance costs and complexity.

Modernize mainframe applications to Google Cloud using automated code refactoring, and deploy them on Google Kubernetes Engine (GKE), or Cloud Run. Google Cloud Mainframe Refactor allows for the refactoring of mainframe applications to Java, ensuring that the original functionality of the mainframe application is retained as it is modernized, significantly increasing agility and eliminating all dependencies on legacy technologies and skills.

Replatform your mainframe applications to Google Cloud with automated solutions from our certified technology partners. With Replatforming, your mainframe applications can run "as-is" in Google Cloud on Google Compute Engine (GCE), preserving existing application functionality, substantially reducing costs migrating away from the mainframe, and boosting developer productivity with access to modern IDEs.

Read more about best practices in our Modernizing Mainframes with Rocket Enterprise Server and Google Cloud whitepaper.

Google Cloud Dual Run enables testing, certifying, and de-risking of mainframe applications that are being modernized with Google Cloud. With Dual Run you can verify correctness, completeness, and performance of the modernized application during migration and before going live.

Dual Run replays live events from the production mainframe system onto the modernized cloud application and compares the outputs between the two systems, ensuring the correctness of the updated business logic within the modernized application. 

Use Google Cloud Mainframe Connector to copy mainframe data, from databases, VSAM, and data files, into Cloud Storage and BigQuery. Unlock previously siloed mainframe data while retaining your mainframe applications. Using Google Mainframe Connector, you can now leverage mainframe data for AI/ML and analytics solutions in Google Cloud, while lowering MIPS consumption used for analytics on the mainframe.

See Mainframe Connector in action.