Google Cloud Mainframe Refactor

Google Cloud · Beginner ·☁️ DevOps & Cloud ·1y ago

Key Takeaways

Demonstrates Google Cloud Mainframe Refactor for modernizing mainframe applications to Google Cloud using COBOL, JCL, and Google Kubernetes Engine

Full Transcript

Welcome to Google Cloud mainframe modernization enhanced with Gemini models. In this video, we'll present Google Cloud mainframe refactor which allows customers to modernize mainframe applications written in Cobalt and JCL to Google Cloud and deploy them on Google Kubernetes Engine, Compute Engine or Cloudr Run. Google mainframe refactor is our highly automatic algorithmic based code modernization offering. It stands alongside our separate AI enhanced offerings for assessment and code modernization known as mainframe assessment tool and mainframe rewrite. Customers are seeking ways to modernize mainframe applications to reduce costs, increase agility and innovation and reduce decadesl long technical debt. Google Cloud mainframe refactor allows for automated refactoring of mainframe applications to Java, ensuring that the original functionality of the mainframe application is retained as it is modernized. With mainframe refactor, customers can substantially reduce the risks and complexities of modernizing mainframe applications while simultaneously accelerating modernization timelines. Mainframe refactor has two parts. A development environment for code conversion and specialized Java library supporting the modernized application as it is running in the target Google cloud environment. Mainframe refactor supports both batch and online workloads. Here we are presenting an example of a batch job that was modernized. We can see an illustration of the application components on the mainframe and in Google cloud. On the left, we see a mainframe hosting a Cobalt application that uses DB2, QAM, and VSAM files. On the main frame, these Cobalt batch jobs were invoked from a JCL and with the scheduler responsible for submitting the JCL jobs for execution. On the right, we see one of the potential target architectures for the modernized application. Since the refactored application is transformed into Java, multiple target architectures and deployment models are supported. This includes using cloudnative solutions to replace mainframe batch processes, including using GKE or using Cloudr Run and submitting jobs through PubSub. With Google Cloud's monitoring solutions, the modern application can be operationally monitored with proactive alerts during the entire execution process. With Google Cloud's mainframe modernization solutions, you can reduce costs, increase agility, and build a future ready enterprise. Discover how Google Cloud can transform your mainframe. Learn more at cloud.google.com/solutions/mainframe-modernization and start modernizing today.

Original Description

Learn more: https://goo.gle/4khAClk Google Cloud Mainframe Refactor allows customers to modernize mainframe applications, written in COBOL and JCL, to Google Cloud, and deploy them on Google Kubernetes Engine, Compute Engine or Cloud-Run. Gogle Mainframe Refactor is our highly automatic algorithmic-based code modernization offering. It stands alongside our separate AI enhanced offerings for assessment and code modernization known as Mainframe Assessment Tool and Mainframe Rewrite.
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