Financial Network Anomaly Detection System

Create a distributed anomaly detection platform for identifying potential financial fraud and network irregularities. Design a microservices architecture using Docker and Kubernetes that: 1) Processes massive transaction datasets, 2) Implements advanced machine learning models, 3) Provides real-time threat detection, 4) Ensures comprehensive logging. Include automated incident response, performance optimization, and regulatory compliance checks.