Monitor Apache Airflow with Datadog

Apache Airflow is an open source system used to create, schedule, and monitor complex workflows including data processing pipelines. Originally developed by Airbnb in 2014, it is now part of the Apache Software Foundation with a community of contributing developers. Workflows are represented as Directed Acyclic Graphs (DAGs) made up of tasks written in Python. Datadog has introduced an integration with Apache Airflow that collects metrics using Airflow's StatsD plugin and provides an out-of-the-box dashboard for immediate insight into workloads. The integration allows users to monitor key metrics like DAG duration and task status, ensuring efficient execution of tasks within the DAGs.