Unlock innovation, increase agility, and reduce costs by modernizing mainframe applications to Google Cloud, leveraging Gemini and generative AI, Google Cloud made solutions, industry expertise, and a robust partner ecosystem
Visão geral
Comprehensive solutions for most in-demand Mainframe Modernization patterns including mainframe assessment, application rewrite, code refactoring, application replatforming, data augmentation, and migration de-risking and testing.
Leverage Google's Gemini models to transform and reimagine existing mainframe applications for the cloud. With the power of generative AI infused with mainframe-specific context, you can rewrite your mainframe applications codebase faster and at a lower cost.
Deploy and operate your modernized mainframe applications on Google Cloud's secure, highly available, scalable, and cost-efficient infrastructure.
Como funciona
Accelerate and de-risk the modernization of mainframe applications and data with comprehensive solutions for most in-demand modernization patterns including assessment, refactor, rewrite, replatform, rehost, and augmentation of mainframes with Google Cloud.
Usos comuns
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.
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. Benefit from fully modernized applications and application architectures with increased agility, scalability, and security, while reducing maintenance costs and complexity.
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. 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.
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.
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.
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.
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.
Caso de negócios
Learn more about how customers accelerate their digital transformation journey through the modernization of mainframe applications using Google Cloud solutions
"BoaVista migrates from mainframe to Google cloud and reduces infrastructure costs by 30%."
Learn moreCustomer success stories
Arek Oy leverages Anthos and other Google Cloud solutions with the help of partners Tietoevry, Accenture, and Heirloom to boost capacity for its core applications and improve pension management for customers.
BoaVista is able to leap forward with the company’s digital transformation journey, leveraging data analytics, reducing the time to ingest large volumes of data from 24+ hours to a few minutes and with a 9x increase in analytical models created.
UNITEC benefits from virtually infinite scalability on migrating eight servers, 22 zones, and 25 TB of data to Google Cloud in 24 days.
Parceiros e integração
Certified technology partners specialize in products and solutions for accelerating Mainframe Modernization to Google Cloud. Certified delivery and gen AI partners specialize in end-to-end Mainframe Modernization projects, scoping, implementation, and support.