Customizing the UI¶

Customizing Dag UI Header and Airflow Page Titles¶

Airflow now allows you to customize the Dag home page header and page title. This will help distinguish between various installations of Airflow or simply amend the page text.

Note

The custom title will be applied to both the page header and the page title.

To make this change, simply:

Add the configuration option of instance_name under the [webserver] section inside airflow.cfg:

[webserver]

instance_name = "DevEnv"

Alternatively, you can set a custom title using the environment variable:

AIRFLOW__WEBSERVER__INSTANCE_NAME = "DevEnv"

Screenshots¶

Before¶

../_images/default_instance_name_configuration.png

After¶

../_images/example_instance_name_configuration.png

Adding Dashboard Alert Messages¶

Extra alert messages can be shown on the Airflow dashboard. This can be useful for warning about setup issues, announcing changes to end users, or providing real-time status information. Dashboard alerts support both static and dynamic content.

Basic Static Alerts¶

To add static alert messages that remain constant until the webserver is restarted:

Create an airflow_local_settings.py file and place it in $PYTHONPATH or in the $AIRFLOW_HOME/config folder. (Airflow adds $AIRFLOW_HOME/config to PYTHONPATH when Airflow is initialized)
Add the following contents to airflow_local_settings.py:

Note

See Configuring local settings for details on how to configure local settings.
from airflow.www.utils import UIAlert

DASHBOARD_UIALERTS = [
    UIAlert("Welcome to Airflow"),
]

Restart the Airflow webserver, and you should now see the alert message displayed on the dashboard.

Alert Categories¶

You can control the category of the alert message. Available categories include:

"info" (default) - Blue informational alerts
"warning" - Yellow warning alerts
"error" - Red error alerts

from airflow.api_fastapi.common.types import UIAlert

DASHBOARD_UIALERTS = [
    UIAlert(text="Welcome to Airflow.", category="info"),
    UIAlert(text="Airflow server downtime scheduled for tomorrow at 10:00 AM.", category="warning"),
    UIAlert(text="Critical error detected!", category="error"),
]

Markdown Content in Alerts¶

Markdown can be included in alert messages for richer formatting. In the following example, we show an alert message of heading 2 with a link included:

from airflow.www.utils import UIAlert

DASHBOARD_UIALERTS = [
    UIAlert(text="## Visit [airflow.apache.org](https://airflow.apache.org)", category="info"),
]

../_images/ui-alert-message-markdown.png

Dynamic Dashboard Alerts¶

Dashboard alerts support dynamic content that updates each time the dashboard page is refreshed. This allows for real-time status updates without requiring webserver restarts. Dynamic alerts must be defined as an instance of an iterable object. The recommended approach is to create a class that subclasses list and implements a custom __iter__ method that yields fresh alerts each time Airflow iterates over the alerts.

Note

When implementing dynamic alerts it is important to keep alert generation logic lightweight to avoid impacting dashboard load times. Consider caching results for expensive operations and handle exceptions gracefully to prevent alert generation from breaking the UI.

Dynamic alerts are particularly useful for:

Real-time notifications: Display current status updates or announcements
Deployment notifications: Show current deployment status, build progress, or GitOps state
Temporary maintenance alerts: Provide time-sensitive information about ongoing maintenance or issues
Environment-specific warnings: Display different alerts based on current environment conditions
External service status: Show the availability of dependent services or APIs

Creating Dynamic Alerts¶

To create dynamic alerts, define DASHBOARD_UIALERTS as an instance of a class that subclasses list and implements the __iter__ method. The UI will iterate over any number UIAlert instances yielded by this method and expose them as alerts on the dashboard page.

The example below demonstrates how logic can be applied to yield alerts dynamically. More practical use cases might include alerts yielded from APIs, database queries or files.

import random
from airflow.www.utils import UIAlert


class DynamicAlerts(list):
    def __iter__(self):
        # This method is called each time Airflow iterates over DASHBOARD_UIALERTS
        # Example: Flip a coin
        if random.choice([True, False]):
            yield UIAlert("Heads!", category="info")
        else:
            yield UIAlert("Tails!", category="warning")


# Create an instance of the class
DASHBOARD_UIALERTS = DynamicAlerts()