Apache Airflow is one of the most widely used orchestration tools in data engineering. It enables teams to schedule, monitor, and manage complex workflows using Directed Acyclic Graphs, commonly known as DAGs. Running Airflow inside Docker containers improves portability and simplifies environment setup for developers and organizations. Why Containerize Apache Airflow? Traditional Airflow installations can be difficult to configure because they require multiple components such as the scheduler, webserver, database, and executor. Docker solves this challenge by packaging all dependencies into isolated environments that are easy to reproduce.…