Socure achieved a 50% cost reduction by migrating to Amazon EMR Serverless (aws.amazon.com)

Socure, a leader in digital identity verification, has successfully migrated its streaming data pipeline, Transaction ETL (TETL), from a self-managed Apache Spark environment on Amazon EKS to Amazon EMR Serverless. This transition resulted in an impressive 50% reduction in operational costs while simultaneously improving data processing performance. The company faced significant challenges with latency and resource limitations in its previous setup, which led to increased job delays and operational overhead. By leveraging EMR Serverless, Socure was able to enhance autoscaling efficiency, effectively address out-of-memory issues, and streamline workflows, thereby enabling faster delivery of identity verification results to its customers. The new architecture employs a two-stage processing pipeline, integrating data from Amazon Kinesis and enhancing it through a refined transformation process before storage. Benchmarking results indicated that both latency and overall costs improved dramatically, with average latency reduced by over 50% and processing costs cut by more than half. These advancements not only bolster Socure's operational capabilities but also strengthen its competitive edge in the growing identity verification market, illustrating how cloud-based solutions can drive efficiency and scalability in AI/ML-driven applications.