{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Integrates Apache Airflow with Microsoft Azure services, providing operators, hooks, and sensors to orchestrate Azure resources and data workflows.","skillfed_tags":["airflow-provider","azure-integration","workflow-orchestration"],"use_cases":["Schedule and monitor Azure Data Lake or Blob Storage data ingestion and transformation jobs within Airflow DAGs.","Orchestrate Azure Synapse Spark jobs, Batch compute tasks, or Container Instance deployments as part of multi-step workflows.","Automate Azure resource provisioning, scaling, and lifecycle management (compute, storage, container registry) via Airflow.","Build hybrid cloud pipelines that coordinate Azure services with AWS, GCP, or on-premises systems using Airflow's cross-provider support.","Manage secrets and authentication to Azure services through Azure Key Vault integration within Airflow task execution."],"what_it_does":"This is an Apache Airflow provider package that bridges Airflow's workflow orchestration engine to Microsoft Azure's cloud services. It exposes Azure resources\u2014storage accounts, data lakes, Cosmos DB, Synapse, Batch, Container Instances, and more\u2014as Airflow operators, hooks, and sensors, allowing you to define, schedule, and monitor Azure-based data pipelines and infrastructure tasks as DAGs.\n\nThe package wraps the official Azure SDK libraries (33 runtime dependencies covering storage, compute, identity, and data services) and integrates them into Airflow's task execution model. You install it on top of an existing Airflow deployment, define tasks using Azure operators, and Airflow handles scheduling, retry logic, and monitoring. It supports Python 3.10 through 3.14 and is actively maintained by the Apache Airflow project.","worth_installing":"Yes, if you run Apache Airflow and need to orchestrate Azure workloads. The package is production-stable, actively maintained, and permissively licensed. The 33 dependencies are substantial but expected for comprehensive Azure SDK coverage. Verify that your Airflow deployment meets the >=2.11.0 requirement and that your environment can accommodate the Azure SDK footprint; no known vulnerabilities as of the query date."},"id":"apache-airflow-providers-microsoft-azure","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-microsoft-azure","md":"https://skillfed.io/packages/apache-airflow-providers-microsoft-azure.md","pypi":"https://pypi.org/project/apache-airflow-providers-microsoft-azure/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-microsoft-azure","python_support":"supports_current","summary":"Provider package apache-airflow-providers-microsoft-azure for Apache Airflow"},"popularity":{"monthly_downloads":2092574,"position":3302,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"14.1.0"}