Case Study: IBM Product Master achieves faster, scalable, cloud-ready deployments with Persistent Systems

A Persistent Systems Case Study

Preview of the IBM Product Master Case Study

IBM Product Master - Customer Case Study

Persistent Systems helped IBM Product Master address the growing need for faster deployments, better scalability, and multi-cloud readiness. As demand increased for product information management and master data management across retail, manufacturing, banking, telecom, and government, IBM Product Master’s on-premises deployment model became too manual and slow, often taking days or even a week to get up and running.

Persistent Systems containerized IBM Product Master using Docker, Kubernetes, and Red Hat OpenShift, breaking the application into microservices and automating deployment, scaling, and orchestration. The results were significant: new instances now go live in about 10 minutes, scaling happens automatically in minutes with no manual intervention, and the solution is now cloud-native and deployable across AWS, Microsoft Azure, IBM Cloud, and other leading platforms.


Open case study document...

IBM Product Master

Anup Gandhi

Chief Product Architect & Offering Manager


Persistent Systems

416 Case Studies