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

Apache Airflow is a widely-used open-source platform for authoring, scheduling, and monitoring workflows, particularly for complex data pipelines. The Airflow UI initially offers a straightforward interface with grid and graph views to monitor DAGs (Directed Acyclic Graphs) and tasks, but as systems scale, it may become insufficient for effectively managing errors and SLA (Service Level Agreement) breaches. Notifications for task successes, failures, retries, or SLA misses can be integrated with platforms like email, Slack, or PagerDuty, though SLA alerts are limited to scheduled DAGs. For more comprehensive monitoring, organizations may employ custom dashboards or integrate with third-party observability tools like Grafana, though these require significant expertise and maintenance. Alternatively, the Airflow REST API can be used to export performance metrics for visualization with BI tools such as Looker or Tableau. Astro offers a managed Airflow experience, providing out-of-the-box observability and simplified management across multi-cloud environments, making it easier for teams to monitor and optimize their workflows.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.