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View logs

View Airflow task and component logs to troubleshoot your data pipelines and better understand the behavior of your tasks and their execution environment.

View Airflow task logs​

Airflow task logs for both local Airflow environments and Deployments on Astro are available in the Airflow UI. Task logs can help you troubleshoot a specific task instance that failed or retried.

On Astro, Airflow task logs are stored in the data plane on your cloud. On Amazon Web Services (AWS), they are stored in S3. On Google Cloud Platform (GCP), they are stored in Cloud Storage. Task logs are stored indefinitely for existing Astro clusters. The task log retention policy is not currently configurable.

  1. Access the Airflow UI. To access the Airflow UI for a Deployment, open the Deployment in the Cloud UI and click Open Airflow. To access the Airflow UI in a local environment, open a browser and go to http://localhost:8080.
  2. Click a DAG.
  3. Click Graph.
  4. Click a task run.
  5. Click Instance Details.
  6. Click Log.

Access Airflow component logs locally​

To show logs for your Airflow scheduler, webserver, or triggerer locally, run the following Astro CLI command:

astro dev logs

Once you run this command, the most recent logs for these components appear in your terminal window.

By default, running astro dev logs shows logs for all Airflow components. To see logs only for a specific component, add any of the following flags to your command:

  • --scheduler
  • --webserver
  • --triggerer

To continue monitoring logs, run astro dev logs --follow. The --follow flag ensures that the latest logs continue to appear in your terminal window. For more information about this command, see CLI Command Reference.

Logs for the Airflow webserver, worker, and triggerer are not available for Deployments on Astro.

View Airflow scheduler logs​

You can access the past 24 hours of scheduler logs for any Deployment on its Logs page. Logs are color-coded according to their type. Scheduler logs can help you understand scheduler performance and indicate if a task failed due to an issue with the scheduler. For more information on configuring the scheduler on Astro, see Scheduler resources.

  1. In the Cloud UI, select a Workspace and then a Deployment.

  2. Click the Logs tab.

  3. Optional. Select one or more options in the Log Level menu and click Apply. These are the available options:

    • Error: Emitted when a process fails or does not complete. For example, these logs might indicate a missing DAG file, an issue with your scheduler's connection to the Airflow database, or an irregularity with your scheduler's heartbeat.
    • Warn: Emitted when Airflow detects an issue that may or may not be of concern but does not require immediate action. This often includes deprecation notices marked as DeprecationWarning. For example, Airflow might recommend that you upgrade your Deployment if there was a change to the Airflow database or task execution logic.
    • Info: Emitted frequently by Airflow to show that a standard scheduler process, such as DAG parsing, has started. These logs are frequent but can contain useful information. If you run dynamically generated DAGs, for example, these logs will show how many DAGs were created per DAG file and how long it took the scheduler to parse each of them.

When a Deployment generates more than 500 lines of logs in 24 hours, only the most recent 500 lines are shown. If there are no scheduler logs available for a given Deployment, the following message appears:

No matching events have been recorded in the past 24 hours.

Typically, this indicates that the Deployment you selected does not currently have any DAGs running.

Export task logs to Datadog (AWS only)​

Astro supports forwarding Airflow task logs to Datadog. You only need to enable Datadog once for each Astro cluster. After you enable Datadog, task logs from all Deployments in the cluster are exported.

  1. Create a new Datadog API key or copy an existing API key. See API and Application Keys.
  2. Identify the Astro cluster from which you want to forward task logs.
  3. Submit a request to Astronomer support with your Datadog API key, the name of your Astro cluster, and the Datadog Site where you want the logs forwarded.

Astro also supports exporting Airflow metrics to Datadog. See Export Airflow metrics to Datadog.