A global leader in financial technology solutions, providing software, services, and infrastructure to banks, capital markets, and merchants to facilitate secure, scalable financial transactions and operations.

The client's legacy monolithic architecture struggled with scalability, data processing, and complex integrations with third-party platforms, leading to operational inefficiencies and potential security vulnerabilities. The need for a modern, scalable solution was critical to address these issues and support the company's growth.

The client, with Turing's support, implemented a comprehensive microservices architecture leveraging AWS technologies to enhance scalability and operational efficiency:

• Microservices architecture: Turing transitioned the client's system to a microservices architecture, utilizing AWS Lambda, API Gateway, DynamoDB, and Step Functions for seamless deployment and management. This architecture supported core services such as risk analysis, data ingestion, and third-party integrations.
• Data lake ingestion: AWS Glue and Lake Formation were employed to streamline data ingestion from multiple sources, enabling efficient data processing and analysis. The new system also facilitated advanced risk management and automated chargeback processing, mitigating financial risks.

• 50% reduction in deployment time: Enhanced the speed of feature releases and updates, accelerating the time-to-market for new services.
• 40% increase in data processing efficiency: Improved data processing enabled faster and more accurate risk assessments.
• 50% improvement in scalability: The microservices architecture allowed the system to handle a 50% increase in transaction volume without performance degradation.
• 30% more seamless third-party integrations: Enhanced integration capabilities led to more efficient connections with external platforms.
• 20% reduction in operational costs: Optimized resource utilization through AWS services reduced overall costs.