Exploring the Power of Apache Airflow’s Kubernetes Operator: A Comprehensive Overview
Understanding Apache Airflow Before diving into the details of the Kubernetes Operator, let’s briefly understand Apache Airflow itself. Apache Airflow is a platform designed to programmatically author, schedule, and monitor workflows. It allows users to define workflows as Directed Acyclic Graphs (DAGs) in Python, making it highly flexible and customizable. Airflow provides a rich set of features, including task dependencies, retries, scheduling, and monitoring, making it a popular choice