**Airflow at Scale: A Practical Guide to Efficient Workflow Orchestration with Astronomer** is a comprehensive guide for data engineers, architects, and DevOps professionals who want to master modern workflow orchestration with Apache Airflow and the Astronomer platform. It begins with the core principles behind reliable orchestration, including dependency management, concurrency, scalability, and security, while also comparing leading orchestration approaches and outlining the operational and compliance considerations needed to build resilient data pipelines in production. The book then takes a practical, hands-on look at Astronomer and its managed Airflow environment, explaining how its architecture supports efficient deployment, integration with cloud and DevOps tooling, and seamless day-to-day operations. Readers will learn how to design, develop, test, and deploy robust Airflow DAGs; extend Airflow with custom operators and sensors; and implement deployment patterns using Kubernetes, Infrastructure as Code, and automated scaling techniques. It also covers essential topics such as observability, monitoring, disaster recovery, high availability, and incident response, helping teams troubleshoot issues, improve reliability, and optimize performance and cost. Looking ahead, the book explores advanced orchestration patterns such as cross-DAG dependencies and event-driven workflows, along with emerging trends in open standards, serverless computing, and edge execution. Through real-world case studies and insights into the Astronomer roadmap, it equips readers with the practical skills and strategic perspective needed to evolve their orchestration practices as their systems and workloads grow. Whether you are modernizing data infrastructure, scaling machine learning pipelines, or operating in regulated environments, this book provides a clear roadmap for orchestrating workflows at scale with Astronomer.
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