Can you explain what Apache Airflow is and how it is used for workflow orchestration?

Apache Airflow is a platform for programmatic workflow orchestration. It allows describing, scheduling, and monitoring the execution of complex task chains that may depend on each other.

Main features:

• Workflows are described as Directed Acyclic Graphs (DAGs) in Python.
• Airflow manages task execution, retries on failure, logging, and monitoring.
• Supports integration with various systems and services.

Example of use: if you need to regularly run an ETL process that first loads data, then processes it, and finally saves it to a database, Airflow helps automate and control this process, ensuring order and repeatability.

Thus, Airflow helps manage complex processes by breaking them into individual tasks and ensuring their reliable execution.