Airflow

Apache Airflow 2.10.5 on openSUSE Leap 15.6 with Free Maintenance Support by Pcloudhosting

Apache Airflow is an open-source workflow orchestration platform used to programmatically author, schedule, and monitor batch-oriented data and infrastructure workflows. This AZURE Marketplace image delivers a production-ready Apache Airflow deployment on openSUSE Leap 15.6, engineered for reliability, extensibility, and operational clarity.

Workflows as Code

All workflows in Apache Airflow are defined as Python-based DAGs, enabling:

• Dynamic DAG generation
• Parameterized and reusable pipelines
• Version control through Git
• Unit and integration testing of workflows

Extensible Framework

Apache Airflow is designed as a modular and extensible orchestration framework. Developers can:

• Create custom operators, sensors, and hooks
• Develop executors and plugins
• Integrate with internal platforms and external services
• Maintain explicit and readable execution logic

Airflow emphasizes explicit dependency management and deterministic execution behavior. Native Jinja templating is supported for runtime configuration and parameter substitution.

Key Platform Components

• Python-native workflow development
• Web-based user interface for monitoring and control
• Rich integration ecosystem
• Flexible scheduling and execution semantics
• Scalable and maintainable deployment characteristics

Supported Runtime Environment

• Python: 3.10 – 3.13
• Databases: PostgreSQL 13+, MySQL 8.0+, SQLite (development/testing)
• Kubernetes: Supported for executor-based scaling
• Memory: Minimum 4 GB RAM recommended (scales with workload)

AZURE-Optimized Deployment Model

• Preinstalled Apache Airflow core components
• Secure and protected default configuration
• Optimized for AZURE Virtual Machine deployments
• Compatible with load balancers, external databases, and object storage services

What Airflow Is (and Is Not)

Ideal Use Cases

• Batch data pipelines
• ETL and ELT orchestration
• Machine learning training and evaluation workflows
• Infrastructure and operations automation
• Scheduled operational jobs

Not Intended For

• Long-running streaming workloads
• Real-time event processing

Real-time and streaming workloads are typically handled by specialized streaming platforms, while Apache Airflow coordinates batch processing and orchestration logic.

Licensing & Support

Apache Airflow is open-source software distributed under the Apache License. This AZURE Marketplace image is independently packaged, maintained, and supported by Pcloudhosting. Optional paid support plans are available. No warranty, express or implied, is provided.