Challenge
The company’s lab and clinical trial data collection process relied on a legacy system that had not been maintained for over a decade. The outdated infrastructure lacked scalability, efficiency, and modern security protocols, making it increasingly difficult to manage large datasets and integrate new functionalities. Performance bottlenecks and data management challenges slowed down operations, limiting the organization’s ability to optimize workflows and meet evolving business needs.
To modernize its system, the company needed a solution that would improve performance, enhance deployment efficiency, and ensure seamless data migration without disrupting ongoing lab operations. The transition involved moving a complex 200+ table application from Oracle to AWS Aurora Postgres while ensuring that all critical functionalities remained intact. Additionally, the project required careful reverse engineering of the existing system to guarantee that all dependencies and workflows were accurately replicated and improved in the new cloud environment.
Solution
Technology Partners led a comprehensive cloud migration strategy, ensuring a seamless transition from the legacy system to AWS. The team began by reverse engineering the existing application and database schema, gaining a complete understanding of system dependencies and functionality.
The new infrastructure was built to be scalable, efficient, and future-proof. The database migration from Oracle to AWS Aurora Postgres provided improved performance and manageability, while moving the application server from JBoss to AWS ECS Fargate introduced a containerized environment that enhanced deployment flexibility and operational efficiency.
Throughout the project, Technology Partners worked closely with key stakeholders to ensure a smooth transition, validate functionality, and optimize system performance. The project utilized Java, Spring Boot, Docker, AWS ECS, AWS Database Migration Service, Liquibase, Terraform, Gitlab, and Angular to build a robust and scalable solution.
Results
The successful cloud migration transformed lab data collection, providing a modern, maintainable application that significantly improved operational efficiency and data management.
The transition to AWS Aurora Postgres enhanced database performance, enabling better scalability and system responsiveness. By adopting AWS ECS Fargate for application deployment, the company gained greater flexibility and automation, reducing the complexity of managing infrastructure.
This project modernized critical lab data collection processes, ensuring better performance, scalability, and long-term efficiency. By transitioning to AWS, we provided a sustainable infrastructure that supports both current needs and future innovations.
Delivery Lead
Technology Partners
With the new system in place, the organization streamlined lab operations, reduced downtime, and positioned itself for future growth. The modern infrastructure ensures that lab teams can efficiently collect, manage, and analyze data, supporting both current and future diagnostic advancements.
Key Outcomes
- Seamless migration from Oracle to AWS Aurora Postgres, improving system performance.
- Transition to AWS ECS Fargate, enabling flexible and scalable application deployment.
- More efficient data collection and management, reducing reliance on outdated infrastructure.
- Future-proof architecture, allowing for continued enhancements and innovation.
- Improved operational efficiency, optimizing workflows and reducing downtime.
