Data Pipeline Monitoring

Only monitor whether the pipeline job completed without errors Monitor data freshness, schema validity, feature distribution shifts, missing value rates, volume anomalies, and upstream source health Monitoring is unnecessary if the pipeline passed initial testing Only monitor the final model predictions, not the input data