Advanced Canary Deployment with Machine Learning Traffic Routing

Develop a sophisticated canary deployment mechanism using machine learning algorithms to dynamically route traffic based on real-time performance metrics. Create a system that can automatically detect performance regressions, adjust traffic distribution, and roll back deployments with sub-second precision. Include integration with observability platforms and implement a decision matrix that considers latency, error rates, and custom business metrics.