Our development team proposed a strategic, phased approach to transition the customer's system to a microservices-based architecture using Java, Spring Boot, React, and SQL Server. Here’s how the solution unfolded:
Phase 1
Architectural Foundation
Integration with Existing Systems: We integrated the new microservices architecture with the existing identity manager and SQL Server database, ensuring continuity and minimal disruption.
Foundation for Scalability: This phase laid the groundwork for a scalable system that would allow for gradual integration of more complex functionalities.
Phase 2
Data Management Enhancement
Central Data Service: By establishing a central data service, we ensured uniform data handling and integration, which facilitated a smooth transition and parallel operation of both legacy and new applications.
Enhanced Data Flow Control: This approach allowed for more precise control and management of data, significantly improving data accuracy and accessibility.
Phase 3
Advanced Analytics and Cloud Migration
Analytical Capabilities: The introduction of advanced analytics empowered the customer to derive deeper insights from their data, enhancing decision-making and reporting capabilities.
Cloud-Based Database: Migrating the database to the cloud further enhanced the application’s functionality, leveraging cloud computing benefits such as scalability, reliability, and cost-effectiveness.