Our team was tasked with developing a high-performance transaction management application using a microservices architecture. Here’s how we implemented the solution:
Phase 1
Modern Tech Stack
We utilized Java and Spring Boot to build several microservices, each responsible for different aspects of the transaction processing pipeline. Angular was used to create administrative dashboards for real-time monitoring of transaction flows. Kafka facilitated the robust and scalable dissemination of transaction data between services.
Phase 2
Microservices for Transaction Processing
We developed microservices specifically designed to:
Parse Transaction Files: Automatically parsing files containing transaction batches to extract transaction data efficiently.
Map and Validate Transactions: Implementing detailed mapping and validation rules in accordance with established financial standards to ensure accuracy and compliance.
Kafka Integration: After initial validations, transactions were sent to Kafka queues, from which they were picked up by another set of microservices responsible for further validations and then persisted into the database.
Phase 3
Streamlined Transaction Flow
By breaking down the transaction processing into distinct microservices, we achieved a more manageable, scalable, and reliable system. This approach not only enhanced processing speeds but also improved system resilience and fault tolerance.