Scaling Financial Transactions to 10k TPS

Enterprise financial environments require sub-millisecond latency and absolute data consistency. Atlantic Data Group was engaged to architect a matching engine capable of handling institutional-grade volumes while ensuring high availability and fault tolerance.

The Challenge

Legacy systems struggled with concurrent transaction spikes, leading to increased latency during high volatility. The requirement was a system that could process up to 10,000 transactions per second (TPS) while maintaining a strict audit trail in a partitioned database environment.

The Solution

We engineered a custom high-performance engine utilizing modern distributed systems principles. Key technical implementations included:

• PostgreSQL Partitioning: Implemented time-series partitioning for multi-year options data to maintain query performance at scale.
• Concurrency Management: Optimized threading models to maximize throughput on Ryzen-based server hardware.
• Data Integrity: Developed a robust transaction logging system that ensures zero data loss even in the event of hardware failure.

Impact & Results

The final deployment resulted in a 40% reduction in order processing latency and provided the client with a scalable foundation for future expansion into high-frequency trading segments.