Automated Risk Management Pipeline with Kubernetes Deployment

Design a Dockerized microservices architecture for a real-time financial risk assessment system using Python, Flask, and Kubernetes. Create a multi-stage CI/CD pipeline that automatically validates financial models, runs Monte Carlo simulations, and deploys risk scoring services with zero-downtime rolling updates. Include comprehensive error handling for financial data streams, implement Prometheus monitoring for service health, and ensure all infrastructure is defined using Terraform with AWS EKS. The solution must handle concurrent risk calculations for multiple financial instruments with sub-second latency and generate detailed compliance logging.