Apache Airflow Workflow Orchestration

Apache Airflow is an open-source workflow orchestration platform used to create, schedule, automate, and monitor data pipelines and task-based workflows through programmable DAGs and a web-based management interface.

• Web-based UI for workflow scheduling and monitoring.
• Create and manage DAG-based workflows.
• Task dependency and scheduling management.
• Distributed and scalable task execution support.
• Built-in logging, retries, and monitoring features.
• REST API support for automation and integrations.
• Supports plugins and multiple provider integrations.
• Works with databases, cloud services, and DevOps tools.
• Role-based authentication and access management.
• Widely used for ETL, automation, and data engineering pipelines.

To check version for Apache Airflow:

$ sudo su
$ cd /opt 
$ cd ~/airflow
$ source airflow_venv/bin/activate
$ pip show apache-airflow

To create Apache Airflow admin user:

$ airflow users create \
  --username newuser \
  --firstname New \
  --lastname User \
  --role Admin \
  --email newuser@example.com

Enter password when prompted.

To start Apache Airflow API Server:

$ airflow api-server -p 8080

To get Already created login details: cat /var/apache-airflow/credentials.txt

To access Apache Airflow Web Interface: http://your-ip:8080

Disclaimer: Apache Airflow is designed for workflow orchestration and automation. Proper authentication, database configuration, DAG validation, resource management, and production-grade deployment practices are recommended before using it in enterprise or production environments.