Modernize your mainframe applications with Google Cloud and unlock a new era of innovation, agility, and cost savings. Leverage our mainframe-specific generative AI solutions, industry expertise, and partner ecosystem to accelerate your digital transformation journey.
Overview
Comprehensive and proven solutions made by Google Cloud for most in-demand mainframe modernization patterns. Our mainframe specific solutions include assessment and reverse engineering of legacy mainframe applications, rewriting and reimagination of mainframe applications powered by generative AI, automatic code refactoring, mainframe application replatforming, mainframe augmentation, and solutions for de-risking the modernization journey.
Leverage Google's Gemini models to reverse-engineer, forward-engineer, transform and reimagine your mainframe applications for the cloud. With the power of generative AI infused with mainframe-specific context and knowledge, you can now rewrite your mainframe codebase faster, more confidently and at a lower cost.
Deploy and operate your modernized mainframe applications on Google Cloud's secure, highly available, scalable, and cost-efficient infrastructure.
Common Uses
Jumpstart your mainframe modernization with the Google Cloud Mainframe Assessment Tool (MAT), powered by Gemini models and mainframe-specific agentic workflows. MAT assesses and reverse-engineers your mainframe applications and data, generating a comprehensive knowledge base that includes detailed code explanations, application logic, dependency insights, automated documentation, and generated test cases, empowering you to confidently determine the best modernization strategy.
Jumpstart your mainframe modernization with the Google Cloud Mainframe Assessment Tool (MAT), powered by Gemini models and mainframe-specific agentic workflows. MAT assesses and reverse-engineers your mainframe applications and data, generating a comprehensive knowledge base that includes detailed code explanations, application logic, dependency insights, automated documentation, and generated test cases, empowering you to confidently determine the best modernization strategy.
Reimagine your mainframe applications for the cloud era to gain increased agility, scalability, and security, all while reducing costs and complexity.
Google Cloud's Mainframe Modernization Code Rewrite leverages Gemini models with mainframe-specific context to transform legacy mainframe code into modern languages like Java. By integrating with Gemini Code Assist and Visual Studio Code, it empower your developers and engineers to work within a familiar and intuitive IDE infused with Google Cloud's generative AI mainframe application modernization capabilities.
Reimagine your mainframe applications for the cloud era to gain increased agility, scalability, and security, all while reducing costs and complexity.
Google Cloud's Mainframe Modernization Code Rewrite leverages Gemini models with mainframe-specific context to transform legacy mainframe code into modern languages like Java. By integrating with Gemini Code Assist and Visual Studio Code, it empower your developers and engineers to work within a familiar and intuitive IDE infused with Google Cloud's generative AI mainframe application modernization capabilities.
Test, certify, and de-risk your mainframe modernization with Google Cloud Dual Run. With it, you can capture and replay live production events originating on your mainframe onto your modernized cloud application, comparing outputs to ensure the correctness, completeness, and performance of the updated business logic throughout the modernization journey and prior to going live.
Test, certify, and de-risk your mainframe modernization with Google Cloud Dual Run. With it, you can capture and replay live production events originating on your mainframe onto your modernized cloud application, comparing outputs to ensure the correctness, completeness, and performance of the updated business logic throughout the modernization journey and prior to going live.
Modernize your mainframe applications to Google Cloud with highly automated code refactoring, deploying them on Google Kubernetes Engine (GKE), or Cloud Run. Google Cloud Mainframe Refactor (previously known as Google Cloud G4) automatically converts mainframe code to Java, preserving original functionality while significantly increasing agility and eliminating dependencies on legacy technologies and skills.
Mainframe Refactor focuses on algorithmic code conversion and sits alongside our Gemini powered Mainframe Rewrite with AI solution.
Modernize your mainframe applications to Google Cloud with highly automated code refactoring, deploying them on Google Kubernetes Engine (GKE), or Cloud Run. Google Cloud Mainframe Refactor (previously known as Google Cloud G4) automatically converts mainframe code to Java, preserving original functionality while significantly increasing agility and eliminating dependencies on legacy technologies and skills.
Mainframe Refactor focuses on algorithmic code conversion and sits alongside our Gemini powered Mainframe Rewrite with AI solution.
Seamlessly integrate your mainframe data and applications with Google Cloud using Google Cloud Mainframe Connector. Unlock previously siloed information, making it fully accessible to Google Cloud services and build new business functions, including advanced AI/ML and analytics solutions. By copying data directly from mainframe data stores and datasets into Google Cloud, Mainframe Connector allows you to reduce MIPS usage by leveraging cloud processing, all while keeping your existing mainframe applications intact.
Seamlessly integrate your mainframe data and applications with Google Cloud using Google Cloud Mainframe Connector. Unlock previously siloed information, making it fully accessible to Google Cloud services and build new business functions, including advanced AI/ML and analytics solutions. By copying data directly from mainframe data stores and datasets into Google Cloud, Mainframe Connector allows you to reduce MIPS usage by leveraging cloud processing, all while keeping your existing mainframe applications intact.
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 Compute Engine, 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 white paper.
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 Compute Engine, 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 white paper.
Business Case
Learn more about how customers have successfully modernized mainframe applications using Google Cloud solutions
Intesa Sanpaolo Mainframe Modernization Success Story
Claudio Balbo, Head of IT Architecture at Intesa Sanpaolo
"To confidently move forward with Mainframe Modernization, we will need to provide confidence and assure the bank's leadership and internal control units as well as get approval from the regulators. One of the enablers for this is Google Cloud Dual Run, which is gradually providing the evidences to build such confidence to all three groups"
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
Our generative AI and implementation partners handle end-to-end project services, including scoping, implementation, and support. Our technology partners provide products and platforms for accelerating Mainframe Modernization to Google Cloud.