Monitoring & Observability in Deployed ML Systems in MLOps and Production AI
Deployment Monitoring
After deployment, monitoring ensures consistent model performance and system stability.
Key Metrics
- Prediction latency
- Error rate
- Drift detection
Observability completes the deployment lifecycle.

