Apache Airflow

Apache Airflow 3.3.2 is an open source workflow orchestration platform that enables users to programmatically author, schedule, and monitor data pipelines using Python-based Directed Acyclic Graphs (DAGs). It provides a web-based user interface for workflow management, task monitoring, scheduling, logging, and operational visibility.

The solution includes Apache Airflow version 3.3.2 with the Airflow Web UI. It is suitable for workflow automation, ETL processes, data engineering, machine learning pipelines, analytics workloads, and enterprise data orchestration.

Features of Apache Airflow:

• Apache Airflow version 3.3.2.
• Web-based Airflow UI for workflow monitoring and administration.
• Create workflows using Python-based DAGs.
• Powerful scheduler for automated task execution.
• Task dependency management and workflow orchestration.
• Real-time monitoring of DAG runs and task execution.
• Built-in logging and troubleshooting capabilities.
• REST API support for management and integration.
• Supports SQLite, PostgreSQL, and MySQL metadata databases.
• Extensible architecture with numerous provider packages and integrations.
• Suitable for ETL, data engineering, machine learning, analytics, and automation workloads.

Usage Instructions for Apache Airflow
$ sudo su
$ cd /opt
$ cd ~/airflow
$ source venv/bin/activate
$ airflow api-server --port 8080
$ airflow version
$ pip show apache-airflow

Credentials Saved in: cat /root/airflow/simple_auth_manager_passwords.json.generated

Access the Airflow Web UI:

Open your browser and navigate to:

http://your-server-ip:8080

Airflow Version:
3.3.2

Web UI Port:
8080

Disclaimer: Apache Airflow is provided “as is” under its applicable open source license terms. Users are responsible for secure deployment, authentication configuration, firewall rules, SSL/TLS setup, user access management, backups, and protection of workflow and application data. For production environments, it is recommended to use a dedicated metadata database such as PostgreSQL and restrict access to the Airflow Web UI appropriately.