Real-Time Analytics Dashboard
Our Role: Backend architecture and data pipeline
Architecture
Designed as an event-driven architecture with Kafka as the central streaming backbone. Go-based consumers process and aggregate incoming events in real time, writing materialized views to ClickHouse for fast analytical queries. The React frontend connects via WebSocket for live dashboard updates, while Kubernetes orchestrates auto-scaling of processing nodes based on event throughput.
Real-Time Analytics Dashboard
This project focused on building a data pipeline and visualization layer capable of handling massive event volumes with minimal latency. The system ingests clickstream data, application metrics, and business events, transforming them into actionable insights displayed on customizable dashboards. Our team architected the streaming infrastructure and built the high-performance query layer.