A major logistics company sought to modernize its technology infrastructure by migrating from legacy mainframe systems to a scalable cloud-based solution. The goal was to decompose monolithic applications into microservices to enable seamless data exchange between core systems. This middleware API solution was vital to several business-critical functions and required robust performance, flexibility, and internationalization capabilities.

To tackle this transformation, our team adopted Agile methodology, working within a dedicated scrum unit. The project was phased to include development, deployment, load balancing, and continuous monitoring. Our consultant, a software engineer specializing in Java and Spring Boot, was responsible for:

• Building scalable APIs using Java 8 and Spring Boot
  
• Migrating customer data from the legacy system to the new architecture using Oracle DB
  
• Creating and managing automated SQL-based scheduled jobs to ensure clean and reliable data migration
  
• Implementing internationalization (i18n) to support global users across multiple languages and regions
  
• Automating performance reporting, reducing manual work for the support team

A key innovation was the development of scripts that automatically generated API performance reports and emailed them to stakeholders, eliminating the need for manual reporting and enhancing operational transparency.

• High-Performance APIs: Achieved API response times of ~150ms through caching strategies and database replication, exceeding business performance benchmarks.
  
• Resilience at Scale: Integrated Resilience4j for fault tolerance and implemented retry logic, reducing production failures from 100 to just 20 during high-load scenarios.
  
• Global Readiness: Successfully supported multiple country codes and languages, expanding the system’s global reach and compliance.
  

Operational Efficiency: Automated reporting workflows saved significant time for production support teams, improving visibility and decision-making.