Master Data Orchestration with Technical Precision
This book is ideal for students, data engineers, analysts, and DevOps professionals who want to master Apache Airflow for orchestrating complex workflows in production environments. You will learn how to configure DAGs, work with operators, integrate external APIs, scale with Celery and Kubernetes, and apply best practices in security and observability. Explore concepts such as XCom, trigger rules, parallelism, remote logging, and DAG versioning, all with a focus on practical application.
Includes:
• Creation and execution of DAGs with native operators
• Integration with REST APIs, databases, and distributed systems
• Configuration of Celery and Kubernetes executors for high scalability
• Monitoring implementation with Prometheus and Grafana
• Automated deployments with Git and CI/CD pipelines
• Security strategies with RBAC, encryption, and secret protection
• Performance optimization and load balancing across workers
By the end, you will be ready to apply Apache Airflow strategically, ensuring reliable automation, scalability, and data governance in corporate projects.
airflow, data orchestration, pipelines, devops, ci/cd, monitoring, automation, scalability, big data, data engineering
Diego Rodrigues
Technical Author and Independent Researcher
ORCID: https://orcid.org/0009-0006-
StudioD21 Smart Tech Content & Intell Systems
E-mail: [email protected]
LinkedIn: www.linkedin.com/in/
An international technical author (tech writer) focused on structured production of applied knowledge. He is the founder of StudioD21 Smart Tech Content & Intell Systems, where he leads the creation of intelligent frameworks and the publication of didactic technical books supported by artificial intelligence, such as the Kali Linux Extreme series, SMARTBOOKS D21, among others.
Holder of 42 international certifications issued by institutions such as IBM, Google, Microsoft, AWS, Cisco, META, Ec-Council, Palo Alto, and Boston University, he operates in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking, and Threat Intelligence.
Since 2003, he has developed more than 200 technical projects for brands in Brazil, the USA, and Mexico. In 2024, he established himself as one of the leading technical authors of the new generation, with more than 180 titles published in six languages. His work is based on his proprietary TECHWRITE 2.2 applied technical writing protocol, focused on scalability, conceptual precision, and practical applicability in professional environments.