DuitHape needed a complete overhaul of their fintech backend to support explosive growth. We rebuilt their entire architecture using microservices, achieving 100x throughput improvement while adding real-time fraud detection and transaction monitoring.
Client
DuitHape
Industry
Digital Payments
Team
12 Engineers
Duration
9 Months
DuitHape's monolithic Java application was buckling under the weight of 2 million daily transactions. Batch processing created 15-minute settlement delays, their single-database architecture had no horizontal scaling path, and the lack of real-time monitoring meant fraud detection was purely reactive. They needed to handle 10x projected growth within 12 months while meeting new regulatory requirements for real-time reporting.
Decomposed the monolith into 14 domain-driven microservices using Kotlin and Spring Boot, each independently deployable and scalable based on load patterns.
Implemented Apache Kafka as the central event bus, enabling real-time transaction streaming, asynchronous processing, and exactly-once delivery guarantees.
Built a streaming fraud detection engine using rule-based and ML models that evaluates every transaction in under 50ms, blocking suspicious activity before settlement.
Deployed on AWS with auto-scaling ECS clusters, multi-AZ Redis caching, and RDS PostgreSQL with read replicas, achieving 99.99% availability.
Technologies used
"Their dedicated offshore teams integrated perfectly into our daily workflows. We scaled our engineering capacity by 3x without sacrificing quality."
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