Unlocking Value in Your Legacy Programs
CloudFrame offers a suite of products that unlock the value of decades-old legacy programs, bringing a fresh approach to mainframe modernization that significantly reduces the risk, time and costs of migrating mission-critical business applications. As a result, project success rates are much higher.
CloudFrame Migration Suite provides the legacy code conversion tools, automation and DevOps integration to deliver modular Java that can integrate with modern technology available within your open architecture. As part of an open architecture, your new business requirements can be elevated to a whole new level by leveraging AI, Machine Learning, Cloud and Big Data technologies like NoSQL and Kafka. CloudFrame generated modular Java is designed to transition to these open technologies.
CloudFrame Data Connect provides the runtime Java libraries that contain legacy data handlers for accessing legacy data formats to ensure your business data is processes exactly as its COBOL predecessor. These libraries ensure a like-for-like match between your legacy computations and data with its modern Java counterpart.
CloudFrame DevOps provides the operational tools and seamless integration for your developers and change management/DevOps teams. It offers automated code promotion, tools to set up runtime environment configurations and an activity monitoring dashboard to monitor activity.
Key Features for Modern Capabilities
Converts to Modular Java: CloudFrame scans your monolithic Batch and CICS COBOL and some Assembler program code and generates modular Java code with the business logic separated from the legacy data interfaces and process triggers. It also supports COBOL with DB2 Stored Procedure calls. CloudFrame continues to add capabilities to its products meet customer’s modernization needs.
Access Legacy Data Formats from Java: One key differentiator of CloudFrame is its ability to allow the new Java code running on Cloud to access data in its legacy format while running on any platform. The data can continue to reside on the mainframe or move to Cloud. Modernizing your application becomes significantly quicker and a lot less risky.
Retains Numeric Precision: CloudFrame carries forward the numeric precision programmed in COBOL into the new Java programs. This allows business calculations performed on the new Java code to match exactly with the legacy programs. This feature makes business data validation a snap by simplifying and shortening Java testing.
Plug & Play New Technologies: CloudFrame generates Java modules for each legacy data interface that is separate from the business logic. With modularization, developers can modernize individual interfaces to newer technologies simply by replacing the legacy module with a modern equivalent. For example, replacing MQ with Kafka or DB2 database to a NoSQL database.