Monitor your Apache Airflow Workflows with Twilio

This tutorial demonstrates how to leverage Twilio's Programmable Messaging feature to set up an alerting system for Airflow jobs. It begins by setting up an Airflow instance locally, creating a DAG, and fetching data from the Star Wars API. The code then writes the fetched data to JSON files that can be used as fixtures for a database. To integrate Twilio with the Airflow Docker image, a new version of the image is created with the Twilio package installed, and an environment file is added to store the Twilio account SID and Auth Token. A callback function `on_failure` is defined to send SMS notifications when a task fails. The tutorial concludes by applying the changes to a running instance of Airflow and demonstrating how to use this feature for monitoring Airflow DAGs.

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