Continuous Monitoring After Deployment in MLOps and Production AI
Post-Deployment Monitoring
CI/CD does not end after deployment. Continuous monitoring validates model behavior in real-world environments.
Monitoring Focus
- Prediction drift
- Latency changes
- Error rate tracking
Monitoring completes the automated ML lifecycle loop.

