Apache Airflow is a robust and versatile platform that enables users to create, manage, and supervise workflows in an automated manner. This system provides the flexibility to design workflows that are in line with your operational needs and requirements. Developed by the Apache Software Foundation, it serves as an incredible tool for handling complex computational jobs.
Within its rich feature set, Apache Airflow allows you to script workflows using Python code. This gives you the freedom to define tasks and dependencies programmatically, leading to dynamic workflow creation. Furthermore, its scheduling capabilities ensure that your tasks run at the appropriate times and in the correct order.
Airflow's monitoring feature stands out as it offers detailed insights into your workflow's performance. It provides visual representations of pipelines running in production, monitoring their progress and spotting potential issues quickly. It also supports various types of operators for different tasks such as executing Python code, running bash commands, or executing SQL queries on databases.
Overall, Apache Airflow is a powerful ally in managing complex workflows while providing flexibility and detailed performance tracking.