Airflow monitoring combines the web interface (run states, logs, durations), alerts (callbacks, emails, SLAs, notifications), and metrics exported to observability tools. It makes it possible to quickly detect a DAG that is failing, stuck, or slower than usual.
Example
default_args={'email_on_failure': True, 'email': ['equipe-data@exemple.fr']}