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Expert tips for monitoring the health and SLAs of your Apache Airflow DAGs

Metrics in the form of tables, charts, or graphs are useful for monitoring the health of your Airflow system and maintaining the SLA of your data pipelines. They provide a quick and easy way to identify issues and take corrective actions. While Airflow's built-in UI is a good starting point along with notifications, using Airflow’s REST API to extract metadata about your DAGs and tasks provides advanced observability options with an added overhead of cost and maintenance.

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