A leading enterprise partnered with Iris to modernize its product data infrastructure, delivering a secure, scalable platform that streamlined access, ensured governance, and preserved continuity for critical services.
Client
A large NY-based life insurance and investment company
Goal
Unify product data access with secure APIs, modern architecture, and seamless integration while minimizing disruption
Tools and Technologies
Java 21, Spring Boot, AWS, Jenkins, Stone Branch, Jira, Microservices, Redshift, Aurora, DynamoDB
Business Challenge
A leading enterprise needed to modernize its product data infrastructure to meet evolving business and digital transformation needs. The existing data mart lacked a secure, standardized way to share information with downstream services, creating governance and consistency challenges. Meanwhile, a legacy system supported critical microservices, and moving to a new platform risked disrupting integrated data flows. The organization required a secure, scalable solution for future growth with continuity.
Solution
- Built Product Data Services, a Spring Boot and Java 21 microservices platform on AWS with Redshift and Aurora, enabling secure, flexible API access using tagged identifiers
- Deployed Product Data Submitter, a DynamoDB-powered service that populated data via Stone Branch workflows, ensuring existing microservices continued to function without change
- Designed a scalable architecture requiring minimal code changes for future expansion
Outcomes
- Centralized access to product and entity data with secure, tag-based APIs and a governed UI
- Seamless modernization of backend systems without disrupting existing microservices
- Accelerated delivery through microservices, CI/CD, and automated file-based updates
- Reduced manual effort and improved developer productivity with streamlined workflows
