database-migrations-migration-observability

Real-time database migration monitoring is achieved by capturing CDC pipeline metrics for migration duration, data lag, rows processed, and errors. You configure your migration workflow to emit metrics to Prometheus for live visibility and anomaly detection.

CDC-based observability uses change data capture pipelines, such as Debezium, to track data movement across relational and NoSQL databases during migrations. It provides visibility into data lag and processed rows to detect anomalies.

Yes, Grafana dashboards integrate directly to track Debezium data lag, rows processed, and error metrics. You can programmatically configure these dashboards via CI/CD for end-to-end pipeline health checks.

Yes, migration observability applies to CDC pipelines across both relational and NoSQL databases. It supports metrics for migration duration, data lag, and error tracking regardless of the database type.

Automated alerts for migration anomalies are set up by configuring alerting channels and integrating them with your CI/CD pipelines. The observability stack uses Prometheus metrics to trigger alerts for data lag and errors.