Unlock innovation with AI-powered modernization
Turn monolithic legacy applications into flexible, cloud-native services. Use AI to analyze existing code, reduce technical debt, and prepare your systems for modern AI workflows.
Unlock deep application insights to accelerate cloud transformation
Assess and modernize your mainframe, .NET, and Java applications in one place with modernization hub.
Agentify existing systems without costly replatforming
Add AI capabilities to existing business systems without rebuilding from scratch. Use Google Kubernetes Engine (GKE) as a containerized layer to connect modern cloud services directly to your core applications.
Modernize mainframes faster and safer
Move off mainframes with less risk. Use the mainframe assessment tool to extract business rules, mainframe connector to sync data, and dual run to test live traffic in parallel, accelerating your mainframe modernization.
Transform legacy Windows and .NET applications
Convert legacy .NET apps into modern cross-platform workloads. Use Antigravity and CodMod to map dependencies, update APIs, and deploy directly to Linux containers on Cloud Run or GKE.
Unlock innovation with AI-powered modernization
Turn monolithic legacy applications into flexible, cloud-native services. Use AI to analyze existing code, reduce technical debt, and prepare your systems for modern AI workflows.
Unlock deep application insights to accelerate cloud transformation
Assess and modernize your mainframe, .NET, and Java applications in one place with modernization hub.
Agentify existing systems without costly replatforming
Add AI capabilities to existing business systems without rebuilding from scratch. Use Google Kubernetes Engine (GKE) as a containerized layer to connect modern cloud services directly to your core applications.
Modernize mainframes faster and safer
Move off mainframes with less risk. Use the mainframe assessment tool to extract business rules, mainframe connector to sync data, and dual run to test live traffic in parallel, accelerating your mainframe modernization.
Transform legacy Windows and .NET applications
Convert legacy .NET apps into modern cross-platform workloads. Use Antigravity and CodMod to map dependencies, update APIs, and deploy directly to Linux containers on Cloud Run or GKE.
AI-driven platform modernization
Take the risk and guesswork out of cloud migration. Use AI tools to map workload dependencies, right-size infrastructure, and move in planned waves with predictable timelines.
Plan your transition with confidence
Estimate costs and map server dependencies in minutes. Migration center and built-in AI tools and agentic capabilities recommend optimal cloud configurations to simplify your migration planning.
End-to-end container relocation
Move Kubernetes workloads from AWS to Google Cloud without manual refactoring. The EKS-to-GKE Agentic migration automatically converts manifests and aligns namespaces to eliminate errors.
Accelerate secure data center exits
Retire physical data centers faster. A robust migration portfolio and the Rapid migration and modernization program (RaMP) provides practical guidance, funding, and tools to streamline your projects.
Keep network setups completely uninterrupted
Migrate workloads without changing public IP addresses or breaking external connections. Bring Your Own IP (BYOIP) keeps your existing IP reputation and API routing intact.
Minimize data transfer latency
Place large datasets directly next to your AI workloads. Google Cloud NetApp Volumes (GCNV) delivers sub-millisecond file access, cutting latency and data transfer costs.
AI-driven platform modernization
Take the risk and guesswork out of cloud migration. Use AI tools to map workload dependencies, right-size infrastructure, and move in planned waves with predictable timelines.
Plan your transition with confidence
Estimate costs and map server dependencies in minutes. Migration center and built-in AI tools and agentic capabilities recommend optimal cloud configurations to simplify your migration planning.
End-to-end container relocation
Move Kubernetes workloads from AWS to Google Cloud without manual refactoring. The EKS-to-GKE Agentic migration automatically converts manifests and aligns namespaces to eliminate errors.
Accelerate secure data center exits
Retire physical data centers faster. A robust migration portfolio and the Rapid migration and modernization program (RaMP) provides practical guidance, funding, and tools to streamline your projects.
Keep network setups completely uninterrupted
Migrate workloads without changing public IP addresses or breaking external connections. Bring Your Own IP (BYOIP) keeps your existing IP reputation and API routing intact.
Minimize data transfer latency
Place large datasets directly next to your AI workloads. Google Cloud NetApp Volumes (GCNV) delivers sub-millisecond file access, cutting latency and data transfer costs.
Intelligent, autonomous operations
Automate routine cloud maintenance and troubleshooting. AI-driven operations help platform teams diagnose root causes faster, optimize performance, and keep costs under control.
Troubleshoot operational issues automatically
Diagnose and resolve cloud incidents faster. Gemini Cloud Assist monitors system health and gives step-by-step troubleshooting recommendations in plain language.
Optimize cloud spend
Cut cloud waste automatically. Active recommendations identify idle resources and suggest right-sizing actions to lower infrastructure costs.
Enhance application reliability and uptime
Prevent outages before they affect users. SRE agents monitors performance trends, flags anomalies early, and automates root-cause analysis.
Enforce financial guardrails
Keep multi-cloud spending on budget. Finops agents track cost trends and recommend scaling policies to prevent unexpected bill spikes.
Intelligent, autonomous operations
Automate routine cloud maintenance and troubleshooting. AI-driven operations help platform teams diagnose root causes faster, optimize performance, and keep costs under control.
Troubleshoot operational issues automatically
Diagnose and resolve cloud incidents faster. Gemini Cloud Assist monitors system health and gives step-by-step troubleshooting recommendations in plain language.
Optimize cloud spend
Cut cloud waste automatically. Active recommendations identify idle resources and suggest right-sizing actions to lower infrastructure costs.
Enhance application reliability and uptime
Prevent outages before they affect users. SRE agents monitors performance trends, flags anomalies early, and automates root-cause analysis.
Enforce financial guardrails
Keep multi-cloud spending on budget. Finops agents track cost trends and recommend scaling policies to prevent unexpected bill spikes.
Customer success
Customer success
PayPal paving the way for the future of agentic commerce with Google Cloud
Digital payments leader PayPal is pioneering the next era of digital commerce, moving from simple chatbots to production-grade agents with Google Cloud. After migrating over 300 petabytes of data to BigQuery in one of the largest data transformations in the industry, PayPal built its entire AI stack on Google Cloud AI infrastructure, including Google Kubernetes Engine (GKE) to gain the power and flexibility for scaling complex, multi-step agent workflows. In addition, PayPal developed a unified large language model (LLM) stack on Gemini Enterprise Agent Platform with all the models, tools, and infrastructure needed to build, scale, govern, and manage agents. This unified approach has already made an impact, delivering 99.999% availability for critical AI workloads, reducing model deployment from weeks to minutes, and empowering 10,000 engineers to focus on creating agentic commerce capabilities over 400 million users can trust—everyday, everywhere.
PayPal paving the way for the future of agentic commerce with Google Cloud
PayPal paving the way for the future of agentic commerce with Google Cloud
Digital payments leader PayPal is pioneering the next era of digital commerce, moving from simple chatbots to production-grade agents with Google Cloud. After migrating over 300 petabytes of data to BigQuery in one of the largest data transformations in the industry, PayPal built its entire AI stack on Google Cloud AI infrastructure, including Google Kubernetes Engine (GKE) to gain the power and flexibility for scaling complex, multi-step agent workflows. In addition, PayPal developed a unified large language model (LLM) stack on Gemini Enterprise Agent Platform with all the models, tools, and infrastructure needed to build, scale, govern, and manage agents. This unified approach has already made an impact, delivering 99.999% availability for critical AI workloads, reducing model deployment from weeks to minutes, and empowering 10,000 engineers to focus on creating agentic commerce capabilities over 400 million users can trust—everyday, everywhere.
CGI modernizes thirty years of code with Gemini
CGI modernizes thirty years of code with Gemini
CGI, a global IT and business consulting firm, uses Gemini Code Assist and Gemini CLI to manage the complexity of codebases developed over 30 years. By integrating these AI tools across the entire software development lifecycle, CGI has seen a significant increase in developer velocity, producing 30-40% more output after just three months of ramp-up. The solution allows developers to navigate legacy estates, automate mundane tasks like test coverage, and perform sophisticated agentic development—all while maintaining high code quality and avoiding task switching.
Intesa Sanpaolo: Modernizing Mainframes with Google Cloud and Dual Run
Intesa Sanpaolo: Modernizing Mainframes with Google Cloud and Dual Run
Claudio Balbo, Senior Director, Head of IT Architecture at Intesa Sanpaolo, discusses the bank modernization journey with Google Cloud, highlighting their successful migration of workloads, the strategic decision to partner with Google Cloud, and the benefits of using dual run for de-risking and testing their new core banking platform and securing the required regulatory and internal approvals.
Accelerate digital transformation with mainframe modernization solutions from Google, read more and access our portfolio of solutions here: https://goo.gle/4lgqMky.
KeyBank saves more than 400 hours on deployments with Gemini
KeyBank saves more than 400 hours on deployments with Gemini
KeyBank, a leading financial institution, needed to modernize legacy codebases and eliminate manual bottlenecks that slowed down development cycles. By adopting Gemini CLI and Gemini Code Assist, KeyBank transformed its software delivery process, reducing the time to move from ideation to proof of concept (POC) from months to just days. The bank is now saving 300-400 hours on internal deployment processes, allowing engineers to shift from repetitive manual tasks to more meaningful work. These tools have also mitigated risk by generating real-time documentation for legacy code and reducing release cycles through AI-augmented peer reviews.
Orica unearths data-driven success with Google Cloud and SAP
Orica unearths data-driven success with Google Cloud and SAP
Orica, a global leader in mining and infrastructure solutions, set out to simplify and modernize its IT infrastructure, migrating its extensive SAP enterprise resource planning system to Google Cloud in just eighteen weeks. Orica also seized the opportunity to redesign its backup processes with Backup and Disaster Recovery Service, improving the resilience of its environment. The move has already delivered significant results: 18.5% faster response times across business-critical SAP applications and databases, reduced backup times from 16 hours to 20 minutes, and other performance improvements—one monthly business planning job now takes 50% less time, eliminating the need to schedule it on weekends. In addition, Orica can now tap Google Cloud powerful ecosystem to support its data transformation journey, including building an enterprise data warehouse on BigQuery and using Vertex AI to train custom models on SAP data to enable faster insights and better decision-making.
Elasticsearch delivers 40% faster performance on Google Infrastructure
Elasticsearch delivers 40% faster performance on Google Infrastructure
Elastic, the Search AI company behind Elasticsearch, partnered with Google Cloud to create the fastest way to start and scale search-powered experiences. To help users manage less, Elastic is bringing the industry-leading performance and efficiency of Google Axion Processors to Elastic Cloud Serverless, its fully managed, stateless architecture that automatically provisions, manages, and scales Elasticsearch resources based on demand. Powered by Google first custom Arm-based processors, Elastic Cloud Serverless delivers up to 40% higher indexing throughput and significantly lower query latency, ensuring Elastic users can support even the most demanding AI-driven applications, hassle-free. This new, more efficient fleet is a win across the board: Reduced building times for developers, cost savings for Elastic, and lower costs for customers—all without compromising on speed or scale.
Partners and Google Cloud Modernize
Partners and Google Cloud Modernize
Resources
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Migrating to an AI-ready cloud: Your roadmap to modernization e-bookExecuting an AI strategy at scale depends on a modern, AI-ready infrastructure. Legacy systems can throttle innovation, but a strategic migration to the cloud can unlock new potential. This guide provides a roadmap to help you modernize for the age of AI.12-min read
Download ebook
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State of infrastructure in the agentic AI eraOur research shows 83% of organizations require infrastructure upgrades to support production-grade autonomous systems. Discover how innovative organizations are reimagining their entire architectural approach to scale AI with confidence.10-min read
Download report
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Architecting for autonomy: Moving AI agents from pilot to enterprise scale with Agentic Data CloudScale autonomous AI from pilot to production. Discover how a unified data foundation overcomes architectural bottlenecks to power secure, accurate, and scalable enterprise agent workflows.5-min read
Download report
