Analytics Engine

High-throughput Event Processing & Live Dashboards

Project Summary

A large-scale telemetry and financial metrics data processing platform. It ingests massive transaction event streams and presents real-time visual summaries.

Challenge

Legacy batch-processing analytics systems were delayed by up to 4 hours in delivering critical financial transaction data to the fraud and operations teams.

Solution & Technical Architecture

Building an event streaming pipeline using Go worker pools, Apache Kafka for the ingestion queue, and Redis time-series for data aggregation before storing it in PostgreSQL.

Go ingestion pipeline with high goroutine concurrency processing millions of requests steadily.

Interactive telemetry dashboard with sub-second latency for live monitoring.

Automatic anomaly detection system that sends instant alerts on suspicious spikes.

Isolated cloud architecture with traffic-load-based auto-scaling.