News / Infrastructure, Cloud & Telecom
Google Cloud Modernize: A Turnkey Portfolio to Modernize Infrastructure with AI Published on 6 October 2026 by Lawing Tech Newsroom (3 min read)
Google Cloud announces on October 6, 2026, the launch of Google Cloud Modernize, a portfolio of integrated solutions to accelerate migration and modernization of infrastructures using artificial intelligence. This new ecosystem combines analysis tools, automation, and cost optimization, targeting environments such as VMware, mainframe, and Kubernetes.
Video: Intesa Sanpaolo: Modernizing Mainframes with Google Cloud and Dual Run (Google Cloud, YouTube) A Unified Ecosystem to Migrate to the Modern Cloud
Google Cloud Modernize centralizes existing and new solutions to provide a unified approach to infrastructure modernization. Among the integrated tools are the Migration Center , which simplifies the transition to cloud environments, and the Google Cloud VMware Engine , enabling a seamless migration of VMware environments to Google Cloud while preserving existing licenses and configurations.
The Modernization Hub stands out as a dedicated interface for source code analysis and dependency mapping, specifically designed for Java, .NET, and mainframe applications. This tool uses advanced algorithms to identify technical bottlenecks and propose tailored modernization paths, thereby reducing migration-related risks.
By integrating diverse compute instances and powerful orchestration, businesses transform their infrastructure into a competitive advantage, as demonstrated by NetEase Games in the global gaming sector.
Logo: Google Cloud (Google, Public domain) AI at the Heart of Optimization and Decision-Making
One of the key strengths of Google Cloud Modernize lies in its use of AI, particularly through Gemini Enterprise . For example, the Agentic Quick Estimator leverages this technology to convert VMware inventory exports into precise total cost of ownership (TCO) projections for Compute Engine . Teams can thus evaluate the financial impact of their migration in real time, accounting for variables such as multi-region configurations or Bring Your Own License (BYOL) licenses.
An interactive chat interface also allows for real-time adjustments to modeling assumptions, offering unparalleled flexibility to refine modernization strategies. This approach reduces uncertainties and accelerates the validation of technical and financial decisions.
Automation and Performance: Concrete Gains for Critical Workloads
Google Cloud Modernize includes specialized tools for demanding use cases. The EKS-to-GKE Migration Agent for example automates the transition of workloads from Amazon Elastic Kubernetes Service (EKS) to Google Kubernetes Engine (GKE), with a secure pipeline including approval gates to ensure compliance. This solution is backed by real-world examples, such as NetEase Games , which reduced its scaling times from several hours to five minutes and cut server costs by 40 percent thanks to GKE, according to their engineering team director.
On the infrastructure side, new virtual machine series (such as the X5 series for SAP S/4HANA, now supporting up to 43 TiB of memory compared to 29 TiB previously) or the Z4D/Z4M series (with up to 168,000 GiB of NVMe SSD storage) meet the needs of the most resource-intensive workloads. These innovations aim to eliminate bottlenecks while optimizing costs, a crucial balance for companies undergoing digital transformation.
What this means here: opportunities for African businesses and administrations
For businesses and administrations in Benin and West Africa, many of which still rely on legacy infrastructures or on-premise solutions, Google Cloud Modernize could provide an accelerated path to modernization. Automated analytics tools and AI-based cost projections would, for example, allow ministries or telecom operators to quickly assess the impact of migrating to the cloud without requiring deep internal engineering expertise.
Solutions like Google Cloud VMware Engine could be particularly appealing to organizations that have invested in VMware environments, allowing them to retain their licenses while benefiting from cloud advantages (scalability, integration with services like BigQuery or Gemini Enterprise). For public-sector entities, where budgets are often tight, the cost reductions seen by players like NetEase Games (a 40 percent cut in server costs) could serve as a benchmark to justify modernization investments.
Finally, the automation of cloud platform migrations (such as EKS-to-GKE) would reduce operational risks for African companies using hybrid or multi-cloud infrastructures. This could be a major advantage for tech startups or fintechs, often dependent on agile and scalable solutions.
Sources Prepared by Lawing Tech's technology watch from the sources cited. Our editorial charter
