Apache Airflow Observability with Databand

Your data’s health is more complicated than a task or run failure. You need to know your Airflow pipelines are going to deliver complete and accurate data on time. Even more important, you need alerts on data quality issues before they are used by downstream consumers.

When you integrate Databand to your Airflow environments, you get continuous Airflow observability. This allows you to centralize the pipeline metadata, logs, and statuses to get the insights you need to consistently deliver high quality data.

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume,  gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.