Services
One of the largest providers of financial markets data.
BUSINESS CHALLENGE
The client faced several significant challenges that necessitated modernization:
• The existing systems were fragmented, leading to inefficiencies and difficulties in managing trade operations seamlessly.
• The legacy exception management process was outdated, causing delays and inaccuracies in handling exceptions.
To address these challenges, they needed a unified platform for Trade Operations Management and modernize their exception management process. They also needed to leverage their vast data resources to create new revenue streams and support business growth.
Mphasis implemented a cutting-edge solution that involved a Hybrid Cloud platform with Mainframe and AWS, with some third-party applications and solutions used, including the AWS suite of services, IIB/ACE, Lambda/API function builders, AWS Lambda, DynamoDB, Amazon API Gateway, among others. The modernization project involved the Post Trade Ops Platform mainframe application, which had both online (CICS, COBOL) and batch (JCL, COBOL) components.
The solution involved integration and exposure of mainframe functionality/data to external and cloud applications, providing a modernized, workflow-based platform for B2B end clients for exception management. The project also included creating RESTful services to expose mainframe application and data to external systems, managing delivery without impacting multiple stakeholders, and handling a huge and complex environment.
First Workload Deployed in AWS Tenant: Successfully deployed the first workload in AWS tenant, marking a significant milestone in the client's cloud journey.
Hybrid Cloud Architecture: Reduced operational costs and improved processing performance by keeping non-real-time data in the AWS data lake, leveraging the advantages of cloud computing.
CI/CD and Time-to-Market: Accelerated time-to-market with CI/CD pipelines, enabling rapid deployment and iteration of applications.
Data Synchronization and Interconnected Services: Ensured data synchronization and managed interconnected services and dependencies, maintaining data integrity and smooth operations.
Terraform Automation and Service-Based Architecture: Utilized Terraform automation for consistent deployment and implemented a service-based architecture to streamline and optimize the platform.