DatadogHook

Datadog

Uses datadog API to send metrics of practically anything measurable, so it’s possible to track # of db records inserted/deleted, records read from file and many other useful metrics.

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Last Updated: Mar. 26, 2021

Access Instructions

Install the Datadog provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Documentation

Uses datadog API to send metrics of practically anything measurable, so it’s possible to track # of db records inserted/deleted, records read from file and many other useful metrics.

Depends on the datadog API, which has to be deployed on the same server where Airflow runs.

Example DAGs

Improve this module by creating an example DAG.

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  1. Add an `example_dags` directory to the top-level source of the provider package with an empty `__init__.py` file.
  2. Add your DAG to this directory. Be sure to include a well-written and descriptive docstring
  3. Create a pull request against the source code. Once the package gets released, your DAG will show up on the Registry.

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