Accelerate enterprise application modernization with Google Cloud AI

Legacy technical debt limits agility and blocks innovation. Google Cloud AI-powered application modernization automates the reverse engineering, transformation, and validation of your most complex mainframe, .NET, and Java workloads.

Banner
Mainframe
Mainframe to Cloud

Mainframe modernization with AI

Mainframes run your most valuable business processes. Google Cloud enables an incremental, continuous, and safe modernization strategy. We use mainframe-specific AI to help you safely isolate, optimize, and modernize mainframe workloads without interrupting business operations.

Mainframe modernization capabilities

  • Automated business rules extraction: Google Mainframe Assessment Tool (MAT) automatically separates core business rules from legacy execution details, creating natural-language documentation.
  • Risk-free parallel validation: Deploy Google Dual Run to process production traffic across legacy and modernized environments simultaneously. This verifies exact functional equivalence with real traffic and data before the new applications go live.
  • Hybrid data modernization: Integrate legacy mainframe datasets directly into Google Cloud services using Google Mainframe Connector to fuel modern analytics and provide valuable context to Agentic AI unlocking new cloud innovations.
  • Continuous modernization: Identify individual business functions to modernize, build iterative agentic code-development pipelines using our Mainframe Modernization Agents inside Google Antigravity.
Mainframe to Cloud

Mainframe modernization with AI

Mainframes run your most valuable business processes. Google Cloud enables an incremental, continuous, and safe modernization strategy. We use mainframe-specific AI to help you safely isolate, optimize, and modernize mainframe workloads without interrupting business operations.

Mainframe

Mainframe modernization capabilities

  • Automated business rules extraction: Google Mainframe Assessment Tool (MAT) automatically separates core business rules from legacy execution details, creating natural-language documentation.
  • Risk-free parallel validation: Deploy Google Dual Run to process production traffic across legacy and modernized environments simultaneously. This verifies exact functional equivalence with real traffic and data before the new applications go live.
  • Hybrid data modernization: Integrate legacy mainframe datasets directly into Google Cloud services using Google Mainframe Connector to fuel modern analytics and provide valuable context to Agentic AI unlocking new cloud innovations.
  • Continuous modernization: Identify individual business functions to modernize, build iterative agentic code-development pipelines using our Mainframe Modernization Agents inside Google Antigravity.
dotNET
Windows Modernization

Modernize .NET to .NET core

Automate the transformation of legacy .NET Framework applications to open-source, Linux-ready .NET core to reduce costs and increase innovation. With Google Cloud AI, you can parse monolithic, windows-based codebases, identify platform incompatibilities and dependencies, and use specialized agent skills to refactor legacy code into containerized microservices.

.NET modernization capabilities

  • Rapid automated assessments: Use Modernization Hub to analyze .NET code for technical debt, map architectural dependencies, identify modernization blockers and gain insights on recommendations on how to modernize.
  • Code transformation: Use Google Antigravity together with specialized .NET Agent Skills to translate legacy ASP.NET and WCF to modern .NET Core running on Linux containers.
  • Database schema and data modernization: Identify and convert legacy SQL Server stored procedures and database schemas into open-source AlloyDB or Cloud SQL instances.
Windows Modernization

Modernize .NET to .NET core

Automate the transformation of legacy .NET Framework applications to open-source, Linux-ready .NET core to reduce costs and increase innovation. With Google Cloud AI, you can parse monolithic, windows-based codebases, identify platform incompatibilities and dependencies, and use specialized agent skills to refactor legacy code into containerized microservices.

dotNET

.NET modernization capabilities

  • Rapid automated assessments: Use Modernization Hub to analyze .NET code for technical debt, map architectural dependencies, identify modernization blockers and gain insights on recommendations on how to modernize.
  • Code transformation: Use Google Antigravity together with specialized .NET Agent Skills to translate legacy ASP.NET and WCF to modern .NET Core running on Linux containers.
  • Database schema and data modernization: Identify and convert legacy SQL Server stored procedures and database schemas into open-source AlloyDB or Cloud SQL instances.
Java
Java Modernization

Modernize Java monoliths

Legacy Java applications running on outdated JDKs in heavy, proprietary application servers slow down developer velocity and expose organizations to unpatched security vulnerabilities. Google Cloud AI, combined with automated, recipe-driven refactoring, streamlines the partition of monolithic Java architectures into modular, secure microservices optimized for Google Kubernetes Engine (GKE) and Cloud Run.

Java modernization capabilities

  • Deconstruct monolithic applications: Extract business logic and modernize to lightweight, modern Java frameworks.
  • Accelerate framework and JDK upgrades: Modernize legacy Java 8 codebases to secure JDK 17 or 21 environments, while upgrading to remediate open CVEs at scale.
  • Eliminate application server overhead: Strip out proprietary APIs to modernize workloads onto lightweight, open-source container runtimes, lowering overhead and licensing costs.
Java Modernization

Modernize Java monoliths

Legacy Java applications running on outdated JDKs in heavy, proprietary application servers slow down developer velocity and expose organizations to unpatched security vulnerabilities. Google Cloud AI, combined with automated, recipe-driven refactoring, streamlines the partition of monolithic Java architectures into modular, secure microservices optimized for Google Kubernetes Engine (GKE) and Cloud Run.

Java

Java modernization capabilities

  • Deconstruct monolithic applications: Extract business logic and modernize to lightweight, modern Java frameworks.
  • Accelerate framework and JDK upgrades: Modernize legacy Java 8 codebases to secure JDK 17 or 21 environments, while upgrading to remediate open CVEs at scale.
  • Eliminate application server overhead: Strip out proprietary APIs to modernize workloads onto lightweight, open-source container runtimes, lowering overhead and licensing costs.

Customer showcase

Intesa Sanpaolo modernization of legacy core banking off the mainframe and onto Google Cloud

Learn more about Google Cloud Modernize

Modernization Hub is part of Google Cloud Modernize: our comprehensive suite of solutions designed to help organizations modernize legacy infrastructure and applications, accelerating cloud innovation and laying the foundation for the Agentic Enterprise.


Cloud logo
Google Cloud
send
    DocsSupport
    Console
    Sign in
    • Accelerate your digital transformation
    • Whether your business is early in its journey or well on its way to digital transformation, Google Cloud can help solve your toughest challenges.
    • Google Cloud products
    • Browse over 100 products. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits.
    • Save money with our transparent approach to pricing
    • Google Cloud's pay-as-you-go pricing offers automatic savings based on monthly usage and discounted rates for prepaid resources. Contact us today to get a quote.
    Google Cloud