Schroders: Serverless Architecture Migration
Delivered end-to-end serverless solution for Fraud and Financial Crime, reducing cloud expenditure by 20%.
April 2021 - December 2022
Cross-functional development team
£2M
Completed
The Challenge
Schroders Personal Wealth needed to modernize their fraud detection and financial crime prevention systems while reducing operational costs. The legacy system faced: • High cloud infrastructure costs due to inefficient architecture • Scalability limitations during peak transaction periods • Slow response times affecting fraud detection capabilities • Complex maintenance requirements for monolithic architecture • Need for enhanced security and compliance features
The Solution
Led the complete architectural transformation to serverless infrastructure: **Serverless Architecture:** • Designed and implemented AWS Lambda-based event-driven architecture • Migrated from EC2-based infrastructure to fully serverless stack • Implemented auto-scaling capabilities for variable workloads • Created microservices for fraud detection and financial crime analysis **Application Modernization:** • Containerization of legacy components using Docker • Event-driven communication patterns using AWS SNS/SQS • API Gateway implementation for secure service exposure • DynamoDB and RDS integration for optimal data storage **Cost Optimization:** • Detailed cost analysis and optimization strategies • Right-sizing of resources based on usage patterns • Implementation of cost monitoring and alerting • Migration of batch processes to cost-effective Lambda execution
Results & Impact
Reduction in cloud infrastructure expenditure
Programme value delivered through modernization
Migration to serverless architecture completed
Fraud detection capabilities with improved response times
Technologies & Methodologies
The serverless migration not only reduced our costs significantly but also improved our system's responsiveness and scalability. The architectural approach has become a model for our other modernization initiatives.
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