Apache Airflow

Apache Airflow is an open-source workflow orchestration platform used for building, scheduling, automating, and monitoring data pipelines and task-based workflows using Python-based DAGs (Directed Acyclic Graphs) with a web-based UI and API support.

• Web-based UI for monitoring and managing workflows.
• Supports DAG (Directed Acyclic Graph) based workflow design.
• Task scheduling, retries, and dependency management.
• Highly scalable distributed task execution architecture.
• Built-in logging, monitoring, and alerting system.
• REST API support for automation and integrations.

Airflow Usage:

$ sudo su
$ apt update
$ cd ~/airflow
$ docker compose restart

# View Airflow credentials:
$ cat /var/airflow/credentials.txt
 
# Open Airflow in your browser:
$ http://server-ip:8080
 
  

Disclaimer: Apache Airflow is a powerful workflow orchestration tool. For production usage, ensure proper authentication setup, secure database configuration, resource tuning, and DAG validation practices.