Mainframe Modernization and Cloud Migration Solution for Legacy Systems

The client relies on outdated mainframe technology, causing operational inefficiencies, high maintenance costs, and limited flexibility in deploying modern applications. Their legacy systems, including COBOL, PL/I, and batch processing engines, restrict innovation and scalability, necessitating a comprehensive modernization strategy.

A large enterprise financial institution seeking to modernize its mainframe systems and migrate legacy applications to a cloud environment to enhance agility and reduce costs.

• Develop a transformation platform that enables seamless migration of mainframe applications to cloud environments.
• Create a compiler that refactors legacy COBOL code into modern, object-oriented Java for deployment across any cloud platform.
• Design a transpiler to convert PL/I applications into Java source code, ensuring smooth modernization of batch processing routines.
• Integrate legacy batch processing engines (e.g., JES/JCL) into the new cloud-based infrastructure.
• Reduce migration time and operational costs by implementing high-value software components and automation tools.
• Empower the client with full control over their modernization journey through transpiler-centric solutions.

• A COBOL refactoring compiler that converts legacy code into cloud-deployable object-oriented Java.
• A PL/I to Java transpiler that dynamically translates batch application source code.
• Integration with legacy batch processing engines (JES/JCL) to manage workload execution within the cloud environment.
• An intuitive user interface for managing job processing, monitoring, and system control.
• A workload analyzer for assessing mainframe workload characteristics and performance analysis.
• A high-performance, multithreaded mainframe-compatible sorting utility.
• Additional components such as a workload analysis tool and optimized sorting utilities.

• Legacy batch processing engines (e.g., JES/JCL) for workload management
• Existing mainframe data stores and application interfaces
• Monitoring tools and workload analyzers for performance assessment

• Scalability to handle large mainframe workloads and support multiple concurrent users
• High performance with minimal latency during code parsing and transpilation processes
• Security measures to protect sensitive legacy data and code
• Availability with 99.9% uptime for mission-critical migration tools
• Flexibility for future extension to support other legacy languages or systems

The implementation of this modernization platform is expected to significantly reduce application migration costs by up to 40%, accelerate deployment timelines by up to 50%, and enhance operational agility. Additionally, it will empower the client to modernize their IT infrastructure, improve scalability, and reduce reliance on costly legacy hardware, thus enabling faster innovation in financial services offerings.