Azul Prime Enhances Transaction Capacity and Reduces Infrastructure Costs for Major Asian Digital Payments Platform
Azul, a leader in enterprise Java, announced that one of Asia’s largest digital payments platforms achieved up to 15% more concurrent transactions and over a 20% reduction in application instances through the pilot implementation of Azul Prime.
Digital payment platforms are tasked with processing thousands of requests per second while simultaneously managing operational costs. The specific customer’s transaction workflows involve numerous interconnected Java microservices, where even minor latency spikes can lead to service level agreement (SLA) breaches, failed transactions, and potential customer dissatisfaction.
By piloting Azul Prime across its production and staging workloads, the platform recorded a 20-30% reduction in application instances, alongside latency improvements of up to 30% across P50 through P99 percentiles. This also resulted in a 15% increase in concurrent transaction capacity. These improvements were achieved without any modifications to the existing application code. Azul Prime functions as a drop-in replacement for standard OpenJDK, allowing for deployment across dozens of production microservices without requiring re-architecting or disruptions to existing CI/CD pipelines.
Azul specializes in enterprise Java solutions for AI and cloud-first environments. Its open source-based Java platform aims to optimize the entire Java lifecycle, enhancing performance, strengthening security, reducing licensing and cloud expenses, and boosting developer productivity. Azul’s technology supports mission-critical systems for 36% of the Fortune 100, 50% of the Forbes Top 10 World’s Most Valuable Brands, and the top 10 financial trading companies globally. The adoption of a faster Java Virtual Machine (JVM) helps mitigate tail latency in payment microservice chains, which in turn improves system reliability without necessitating hardware overprovisioning.
