UI / Screenshots

The Airflow UI makes it easy to monitor and troubleshoot your data pipelines. Here’s a quick overview of some of the features and visualizations you can find in the Airflow UI.

DAGs View

List of the DAGs in your environment, and a set of shortcuts to useful pages. You can see exactly how many tasks succeeded, failed, or are currently running at a glance.

In order to filter DAGs (e.g by team), you can add tags in each dag. The filter is saved in a cookie and can be reset by the reset button. For example:

dag = DAG('dag', tags=['team1', 'sql'])

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Tree View

A tree representation of the DAG that spans across time. If a pipeline is late, you can quickly see where the different steps are and identify the blocking ones.


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Graph View

The graph view is perhaps the most comprehensive. Visualize your DAG’s dependencies and their current status for a specific run.


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Variable View

The variable view allows you to list, create, edit or delete the key-value pair of a variable used during jobs. Value of a variable will be hidden if the key contains any words in (‘password’, ‘secret’, ‘passwd’, ‘authorization’, ‘api_key’, ‘apikey’, ‘access_token’) by default, but can be configured to show in clear-text.


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Gantt Chart

The Gantt chart lets you analyse task duration and overlap. You can quickly identify bottlenecks and where the bulk of the time is spent for specific DAG runs.


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Task Duration

The duration of your different tasks over the past N runs. This view lets you find outliers and quickly understand where the time is spent in your DAG over many runs.


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Code View

Transparency is everything. While the code for your pipeline is in source control, this is a quick way to get to the code that generates the DAG and provide yet more context.


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Task Instance Context Menu

From the pages seen above (tree view, graph view, gantt, …), it is always possible to click on a task instance, and get to this rich context menu that can take you to more detailed metadata, and perform some actions.


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