Free Download Efficient Workflow Orchestration with Astronomer: The Complete Guide for Developers and Engineers
English | July 24, 2025 | ASIN: B0FJYF85Z2 | 238 pages | EPUB (True) | 1.43 MB
"Efficient Workflow Orchestration with Astronomer"
"Efficient Workflow Orchestration with Astronomer" is a comprehensive guide for data engineers, architects, and DevOps professionals seeking to master modern workflow orchestration using Astronomer and Apache Airflow. Through a detailed exploration of foundational workflow concepts-including dependency management, concurrency, scalability, and security-the book offers readers a solid grounding in both the theory and practical realities of orchestrating complex, distributed data pipelines. Readers will benefit from in-depth comparisons of orchestration platforms, thoughtful coverage of security and compliance requirements, and best practices for building reliable and scalable pipelines in production environments.
Delving deeply into the Astronomer platform, the book demystifies its architecture, covering managed Airflow environments, deployment workflows, and integrations with essential cloud and DevOps tooling. Concrete examples show how to efficiently design, develop, and test robust Airflow DAGs, customize operators and sensors for domain-specific needs, and manage deployment patterns using Kubernetes, Infrastructure as Code, and automated scaling strategies. Crucial topics such as observability, monitoring, disaster recovery, high availability, and incident response are addressed, empowering teams to troubleshoot, audit, and optimize their orchestration stacks for both performance and cost.
Looking to the future, "Efficient Workflow Orchestration with Astronomer" explores advanced patterns like cross-DAG dependencies and event-driven workflows, as well as the evolving landscape of open standards, serverless, and edge computing. With real-world case studies and insights into the Astronomer roadmap, the book equips readers not just with technical know-how, but with the foresight needed to extend their orchestration practices as technology evolves. Whether you are modernizing data infrastructure, scaling machine learning pipelines, or navigating regulatory requirements, this book is your indispensable roadmap to orchestrating workflows at scale with Astronomer.
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