Google Cloud Mainframe Modernization with generative AI
Accelerate digital transformation with Mainframe Modernization, enhanced by Gemini models
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
Overview
Google Cloud made products for mainframe application modernization, testing, and augmentation
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.
Solutions enhanced by Google Gemini models
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 on secure, reliable, scalable, and cost-effective cloud infrastructure
Deploy and operate your modernized mainframe applications on Google Cloud's secure, highly available, scalable, and cost-efficient infrastructure.
How It Works
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.
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.
Common Uses
Assess your mainframe applications for modernization
Mainframe Assessment Tool (MAT), enhanced with Gemini and 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.
How-tos
Mainframe Assessment Tool (MAT), enhanced with Gemini and 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.
Rewrite and modernize your mainframe applications
Mainframe Code Rewrite, enhanced by Gemini and generative AI
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.
How-tos
Mainframe Code Rewrite, enhanced by Gemini and generative AI
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.
Refactor and modernize your mainframe applications
Mainframe Refactor for Batch
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.
How-tos
Mainframe Refactor for Batch
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.
De-risk and test your modernized mainframe applications
Dual Run
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.
How-tos
Dual Run
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.
Augment your mainframe with cloud-native capabilities
Mainframe Connector
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.
How-tos
Mainframe Connector
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.
Start your Mainframe Modernization journey
Kickstart your Mainframe Modernization and unlock modernization insights. Start with a detailed assessment enhanced with generative AI capabilities. Identify opportunities to modernize and transform your legacy applications, reduce costs, innovate with new business functions, and accelerate agility.
Interested in learning more about Google Cloud solutions for Mainframe Modernization?
Learn more about Google Cloud’s Mainframe Modernization solutions for most in-demand modernization patterns, including code assessment, application code rewrite enhanced by generative AI, automatic code refactoring, testing, and augmentation of mainframe applications.
Harness the potential of Google Gemini models and generative AI to gain insights about your current mainframe estate and applications, including automatic creation of code logic summaries, code documentation, test cases, application dependencies, and more. Make informed decisions regarding your Mainframe Modernization using Google Mainframe Assessment Tool (MAT).
Unlock the full potential of your most critical business data and extract maximum value from your mainframe applications by augmenting them with Google Cloud capabilities and services. Seamlessly copy data from mainframe databases and datasets to Google Cloud and BigQuery using the Google Cloud Mainframe Connector, with automatic conversion of codepages, data types, and encodings between mainframe and non-mainframe formats.
Business Case
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 more
Customer 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.
Partners & Integration
Google Mainframe Modernization certified partners
Delivery and generative AI partners
Technology partners
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.
