FintechScalabilityEvent-Driven
Real-Time Settlement Engine
High-volume financial transaction processing with sub-second latency.
Published on November 03, 2024
Context
The existing system could not handle volume peaks, causing queues and reconciliation delays.
Solution
Event-driven architecture with Spring Boot, Kafka, and natural-key idempotency.
Result
40% reduction in reconciliation time and 99.9% operational availability under heavy load.
-40%
Reconciliation
99.9%
Availability
12k tps
Throughput
Context
The legacy settlement core did not scale horizontally…
Technical decisions
- Kafka as the event backbone.
- Outbox pattern for at-least-once guarantees.
- Natural-key idempotency on consumers.
Result
Within three months reconciliation time dropped 40% with stable throughput above 12k tps.
Stack
Java 17Spring CloudKafkaPostgreSQL