Re-engineer a trade surveillance platform for performance and scalability
- Develop state-of-the-art trade surveillance platform, meeting 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
- Remove batch processing to real-time while delivering aggregate and alert infrastructure and technology to generate alerts from pattern matching and aggregate calculations
- Produce a flexible deployment design enabling cloud and on-premises target infrastructures, and provide scalability features to allow tuning for different volume requirements
Develop a high-performant and scalable solution
- Google Cloud and Google Kubernetes Engine was used to deploy the proposed architectures on different scales and shape of infrastructures; helping to test and benchmark the solution
- A Cloud Load Balancer was used as a front-end access point so that end-user clients can easily control and limit the cost of the infrastructure using specific quotas
- The Google Container Engine was used for running continuous integration and deployment worker nodes in the development tools environment
- A Google Identity-Aware Proxy protected access to the development tools and reporting area, whilst GSuite provided the environment for all documentation, design, plans and collaboration tools
Efficiency and scale, with a future-proof system that can help drive growth
- Utilising Google Cloud, we 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, whilst still making it securely accessible from the internet
- GSuite has worked very well as a productive collaboration tool for a global team from the client and within GFT distributed across many countries
- The latest AI technology has been utilised to predict patterns in the captured data allowing for a standardised and efficient method of onboarding new customers
