Modernizing mainframes that contain accumulated years of data is about creating intelligent systems, automated processes and digitizing an enterprise to respond to future needs. This requires gaining complete knowledge of IT infrastructure, and transitioning from monolithic legacy landscapes to an agile, cost effective environment. ShanSys helps clients do just that, non-disruptively.
Our Offerings
Find the right approach, solutions and tools for modernizing
API Enablement on Mainframe
Renew mainframes with APIs for new digital business capabilities
Accelerate enablement of new user experiences and functionalities through microservices and API’s in an incremental manner with ShanSys.
Shansys builds APIs as microservices using Shansys Cornerstone platform (PaaS) that simplifies creation of microservices for frequently consumed services and enables a caching framework, reducing microservices cost and time by 20-30% and enabling APIs rapidly through extreme automation.
How Shansys renews mainframe, enables APIs and helps achieve digital business capabilities
Using a number of in-house tools and frameworks, Shansys
Enables new business capabilities by exposing the services
Enhances customer experience by developing omni-channel experience
Eliminates paper- based and manual work, and improves employee productivity
Enables agility through reusability, reducing time to market
Batch Offloading
Migrate mainframe workloads to batch
Most mainframe workloads consist of expensive batch processes classifiable into one or more of these categories:
Migration of Mainframe Batch Workloads to ETL Platforms
End of day/month/year processes
Periodic batch/transactional processing
Report and statement generation
Data ingestion and extraction into mainframe database (DB2, IMS, VSAM)
Data transformation and transmission
Data archival and purge
Shansys helps clients identify and offload workloads on to the most suitable platform, deliver better performance, and reduce costs significantly, with leaner and lighter mainframe.
Low value, poorly performing jobs are best suited for Hadoop platform Periodic, mission critical jobs are ideal for Spring Batch Batch processes that are typically involved in Extract, Transform and Load are ideal for ETL platform