Case Study: Mastercard achieves real-time fraud detection with Azul Systems

Azul helps power the systems that identify fraud in microseconds at high volumes

Mastercard needed to detect and stop fraud in real time while processing tens of thousands of transactions per second, but Java garbage collection pauses were creating delays in its high-volume systems. To protect cardholders and make instant go/no-go decisions, Mastercard turned to Azul Systems and its Azul Prime Java runtime.

Azul Systems implemented Azul Prime to improve performance and scalability without constant tuning by developers. The result was a drop from nearly 10,000 full garbage collection pauses per day to virtually none, delivering flatter and more consistent performance and giving Mastercard a major advantage in real-time risk analytics.

Mastercard

Ted Boehm

Senior Technical Consultant