Project Case Study
Real-time Anti-Fraud System
Streaming data pipeline for detecting fraudulent transactions in real-time.
PythonApache FlinkKafkaClickHouse
The Challenge
"Analyzing 50k+ transactions per second with <50ms decision latency."
The Solution
Optimized Flink state management and used ClickHouse for immediate analytical OLAP response.
System Optimized & Validated
Technical Architecture
A high-level overview of the microservices orchestration, data flow, and infrastructure components implemented for this project.
Infrastructure Mapping
Low-level documentation pending for this specific module.