Airflow

Apache Airflow is an open-source workflow orchestration platform designed for creating, scheduling, and monitoring complex data pipelines. It allows users to define workflows as code using Directed Acyclic Graphs (DAGs), making it highly flexible and scalable for automation tasks in data engineering, ETL processes, and machine learning pipelines.

• Workflow orchestration using Directed Acyclic Graphs (DAGs).
• Powerful scheduling and task dependency management system.
• Scalable architecture supporting distributed task execution.
• Rich web-based UI for monitoring and managing workflows.
• Extensive integration support with cloud services, databases, and APIs.
• Retry mechanisms, logging, and alerting for failed tasks.

Airflow Usage:

# Switch to root user
$ sudo su

# Navigate to Airflow directory
$ cd airflow

# Start or restart Airflow services using Docker
$ docker compose restart

# View Airflow credentials:
$ cat /var/air/credentials.txt

# Access Airflow in your browser:
$ http://your-server-ip:8080
  

Disclaimer: Apache Airflow is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. It is an open-source project and is not affiliated with, endorsed by, or sponsored by any commercial entity. The developers and contributors of Apache Airflow are not responsible for any damages, losses, or consequences resulting from its use.