• Unified Management UI: Created a single interface to manage multiple trading platforms, eliminating the need to switch between different systems.
• Enhanced Business Intelligence: Built comprehensive analytics and reporting capabilities for trading operations.
• Trading Platform Monitoring: Implemented real-time monitoring and alerting for trading platform health and performance.
• Risk Analysis: Developed sophisticated risk analysis tools to help firms manage exposure and compliance.
• B2B White-Label Scaling: The most significant challenge was scaling this product due to its B2B white-label nature, requiring careful architecture to balance multi-tenancy with data isolation.

The architecture is built on event-driven principles using Kafka as the backbone for real-time data processing. This allows for high throughput and resilience when handling trading data from multiple platforms simultaneously.

For analytics, we leveraged ClickHouse's columnar storage to achieve exceptional query performance on large datasets. ElasticSearch provides full-text search capabilities and powers the monitoring dashboards.

The hybrid single-tenant design was a breakthrough solution that allowed us to maintain strict data separation for white-label clients while sharing infrastructure efficiently. This approach reduced operational costs by over 80% compared to traditional multi-tenant or fully isolated architectures.

• 80% Cost Reduction: Created hybrid single-tenant design that dramatically reduced infrastructure costs while maintaining data separation.
• 70x Faster Analytics: Achieved 95th percentile analytical queries 70 times faster than the previous solution.
• Efficient Resource Usage: Optimized resource allocation while keeping data completely separated between clients.
• Scalable Architecture: Built a system that can onboard new white-label clients without significant infrastructure changes.