Google bought Cornerstone Technology, whose technology facilitates moving mainframe applications to the cloud. Credit: Thinkstock Google Cloud this week bought a mainframe cloud-migration service firm Cornerstone Technology with an eye toward helping Big Iron customers move workloads to the private and public cloud. Google said the Cornerstone technology – found in its G4 platform – will shape the foundation of its future mainframe-to-Google Cloud offerings and help mainframe customers modernize applications and infrastructure. “Through the use of automated processes, Cornerstone’s tools can break down your Cobol, PL/1, or Assembler programs into services and then make them cloud native, such as within a managed, containerized environment” wrote Howard Weale, Google’s director, Transformation Practice, in a blog about the buy. “As the industry increasingly builds applications as a set of services, many customers want to break their mainframe monolith programs into either Java monoliths or Java microservices,” Weale stated. Google Cloud’s Cornerstone service will: Develop a migration roadmap where Google will assess a customer’s mainframe environment and create a roadmap to a modern services architecture. Convert any language to any other language and any database to any other database to prepare applications for modern environments. Automate the migration of workloads to the Google Cloud. “Easy mainframe migration will go a long way as Google attracts large enterprises to its cloud,” said Matt Eastwood, senior vice president, Enterprise Infrastructure, Cloud, Developers and Alliances, IDC wrote in a statement. The Cornerstone move is also part of Google’s effort stay competitive in the face of mainframe-migration offerings from Amazon Web Services, IBM/RedHat and Microsoft. While the idea of moving legacy applications off the mainframe might indeed be beneficial to a business, Gartner last year warned that such decisions should be taken very deliberately. “The value gained by moving applications from the traditional enterprise platform onto the next ‘bright, shiny thing’ rarely provides an improvement in the business process or the company’s bottom line. A great deal of analysis must be performed and each cost accounted for,” Gartner stated in a report entitled Considering Leaving Legacy IBM Platforms? Beware, as Cost Savings May Disappoint, While Risking Quality. “Legacy platforms may seem old, outdated and due for replacement. Yet IBM and other vendors are continually integrating open-source tools to appeal to more developers while updating the hardware. Application leaders should reassess the capabilities and quality of these platforms before leaving them.” Related content news Cisco patches actively exploited zero-day flaw in Nexus switches The moderate-severity vulnerability has been observed being exploited in the wild by Chinese APT Velvet Ant. By Lucian Constantin Jul 02, 2024 1 min Network Switches Network Security news Nokia to buy optical networker Infinera for $2.3 billion Customers struggling with managing systems able to handle the scale and power needs of soaring generative AI and cloud operations is fueling the deal. By Evan Schuman Jul 02, 2024 4 mins Mergers and Acquisitions Networking news French antitrust charges threaten Nvidia amid AI chip market surge Enforcement of charges could significantly impact global AI markets and customers, prompting operational changes. By Prasanth Aby Thomas Jul 02, 2024 3 mins Technology Industry GPUs Cloud Computing news Lenovo adds new AI solutions, expands Neptune cooling range to enable heat reuse Lenovo’s updated liquid cooling addresses the heat generated by data centers running AI workloads, while new services help enterprises get started with AI. By Lynn Greiner Jul 02, 2024 4 mins Cooling Systems Generative AI Data Center PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe