In the world of data engineering, managing workflows efficiently is crucial to ensuring that tasks are executed in the right order, with minimal failures and optimal performance. One of the key players in this area is Apache Airflow, a popular open-source platform designed to programmatically author, schedule, and monitor workflows. However, as the complexity of workflows increases, so does the need for powerful monitoring tools that ensure everything runs smoothly. This is where Airflow Monitor steps in, providing a comprehensive solution to keep track of your workflows and ensure the reliability of your tasks.