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As Airflow is an automated process, it's probably a good idea to monitor carefully errors and send them to Sentry. The pillar file services/monitoring-reporting.sls allows to use `credentials.get_sentry_dsn` everywhere. References: - https://docs.sentry.io/platforms/python/guides/airflow/ - https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/errors.html Ref T1812

As Airflow is an automated process, it's probably a good idea to monitor carefully errors and send them to Sentry. A custom image installs `apache-airflow[sentry]` and so `sentry-sdk` Python package. The pillar file services/monitoring-reporting.sls allows to use `credentials.get_sentry_dsn` everywhere. References: - https://docs.sentry.io/platforms/python/guides/airflow/ - https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/errors.html Ref T1812

As Airflow is an automated process, it's probably a good idea to monitor carefully errors and send them to Sentry. A custom image installs `apache-airflow[sentry]` and so `sentry-sdk` Python package. The pillar file services/monitoring-reporting.sls allows to use `credentials.get_sentry_dsn` everywhere. References: - https://docs.sentry.io/platforms/python/guides/airflow/ - https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/errors.html Ref T1812