Trade Surveillance Platform operating in the Google Cloud Platform

The need for a cohesive approach to trade surveillance

• Re-engineer a trade surveillance platform for performance and scalability by developing a state-of-the-art trade surveillance platform, meeting quantitative scale, performance, on-boarding and implementation requirements
• Ingest incoming trade, market and reference data from disparate different sources in wide range of formats and delivery protocols
• Transformed batch processing to real-time while delivering aggregate and alert infrastructure and technology to generate alerts from pattern matching and aggregate calculations

Business process re-engineering

• Google Cloud and Kubernetes selected to deploy the proposed architectures on different scales  to benchmark the solution
• Cloud Load Balancer used as a front-end access point so clients can control and limit the cost of infrastructure using specific quotas
• Google Container Engine used to run continuous integration and deployment worker nodes in the development tools environment
• A Google Identity-Aware Proxy protects access to the development tools and reporting area; GSuite provides the environment for all documentation, design, plans and collaboration tools

A business insulated from technical change

• GFT delivered a highly scalable, performant, robust environment for the development of this complex platform; the infrastructure-as-code approach enabled rapid deployment and testing of the solution on different sized virtual hardware scenarios
• Identity-Aware Proxy simplifies the protection of the development environment, while ensuring securely access from the internet
• Artificial Intelligence predicts patterns in the captured data and enables efficient onboarding new customers