Identity and Fraud Prevention Platform Achieves 10x Transaction Throughput Scaling with Amazon Aurora Serverless

Alloy provides identity verification and fraud prevention software to financial institutions and fintech companies, helping them manage credit decisions, detect fraud, and monitor transactions at scale. The company had been using Amazon Aurora PostgreSQL for its database infrastructure, but as enterprise customers increased transaction volumes, Alloy needed to demonstrate that its platform could reliably handle the demanding workloads of large-scale financial operations. To validate scalability, Alloy worked with AWS solutions architects to build a sandbox environment that simulated enterprise-level transaction volumes using historical data, testing capacity limits before onboarding new high-volume clients.

Alloy adopted Amazon Aurora Serverless, an on-demand, auto-scaling database configuration that automatically adjusts capacity in response to application demand without manual intervention. The company also implemented Amazon RDS Proxy to efficiently manage database connections and prevent overloads during traffic spikes, and deployed Amazon Aurora I/O-Optimized cluster configurations for improved performance on read-write intensive workloads. Following AWS recommendations, Alloy increased overall transaction throughput by 10x, reduced operational overhead, and eliminated the need for manual capacity planning. The platform now ingests 3,200 events per second per customer, computes approximately 1,200 near real-time decisions per second, and onboards 600 entities per second, while maintaining consistent latency during demand spikes. Additionally, Alloy increased its customer onboarding workflow throughput by 5x, allowing faster deployment for new enterprise clients.

By moving to a serverless database architecture, Alloy freed its engineering team from infrastructure management tasks, enabling them to focus on product innovation and business growth rather than operational scaling challenges. The company can now confidently onboard new enterprise customers and handle seasonal traffic fluctuations typical in financial services without pre-provisioning excess capacity. As Alloy continues its cloud transformation, the company is exploring Aurora PostgreSQL scale-out capabilities to distribute database workloads across multiple writer instances for even greater scalability. Working alongside AWS solutions architects provided Alloy with the technical expertise and automation capabilities needed to build a data layer that reliably serves demanding enterprise clients at global scale.