Introduction

A client operating under this program faced significant challenges with their legacy system, which ran on on-premises servers. Issues included database choking, delays in data processing, and lack of on-demand scalability.

Concept and Opportunity

The client sought to modernize their infrastructure to address operational inefficiencies and ensure seamless scalability to support the program's growing demands. Migrating to a cloud-based solution was identified as the optimal path forward. 

Solution

The modernization was executed in two phases:

Immediate Resolution

  • The core engine was migrated to AWS, enabling on-demand infrastructure scaling.
  • This phased migration ensured a smooth transition with minimal disruption. 

System Update

  • The application architecture was redesigned to follow an event-driven pattern.
  • Distributed systems like Kafka, DynamoDB, and Amazon SQS were integrated to enhance scalability and reliability.
  • The database was upgraded to MongoDB, addressing issues of locking and slow query performance. Support was provided for infrastructure setup and log analysis to optimize query patterns. 

Technology Stack

The modernization leveraged the following technologies:

  • Database: MongoDB
  • Cloud Infrastructure: AWS ECS, Lambda, API Gateway, VPC, Transit Gateway, NAT, Elastic IP 
  • Messaging Systems: Managed Kafka, Amazon SQS
  • Storage: Amazon S3
  • Security and Management: IAM, Control Tower

Readiness and Adoption

The revamped platform is now fully operational and processes approximately 1 million transactions daily with exceptional efficiency. By addressing critical database locking issues, the system has achieved seamless performance and significantly reduced downtime. Additionally, the enhanced architecture ensures scalability, reliability, and the ability to handle future growth demands with ease.

Result

Result Illustration

The migration delivered significant and measurable benefits:

  • Cost Savings: By leveraging AWS's pay-as-you-go model, the client achieved substantial reductions in infrastructure costs, eliminating the need for expensive on-premises hardware.
  • Scalability: The platform now seamlessly handles unexpected traffic spikes, ensuring uninterrupted service during peak usage periods and future growth.
  • Reliability: Downtime has been minimized with a 99.7% uptime SLA, providing consistent availability and enhancing user trust and satisfaction.
  • Performance Optimization: The system's architecture improvements have significantly reduced latency and improved transaction processing speeds.

These outcomes underscore the success of the migration in transforming the client’s legacy system into a modern, efficient, and scalable solution capable of meeting current and future demands.

Conclusion

Modernizing the legacy system for the 340B program operations proved highly successful. The solution not only addressed immediate challenges but also positioned the client for future growth by leveraging scalable cloud technologies.

Recommendations

To build on this success:

  • Implement advanced analytics using AWS tools for real-time insights into program operations.
  • Expand the event-driven architecture to integrate additional healthcare services.
  • Continuously monitor system performance and optimize resource utilization using AWS management tools.

In This Case Study:

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