Spring Cloud Data Flow

Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes

Felipe Gutierrez (Autor)

Buch | Softcover

402 Seiten

2020 | 1st ed.
Apress (Verlag)
978-1-4842-1240-0 (ISBN)

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Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. With this book you will develop a foundation for creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow. The first part of Spring Cloud Data Flow introduces the concepts you will need in the rest of the book. It begins with an overview of the cloud, microservices, and big data, before moving on to the Spring projects essential to modern big data applications in Java: Spring Integration, Spring Batch, Spring Cloud Stream, and Spring Cloud Task. The second part of the book covers the internals of Spring Cloud Data Flow, giving you the insights and knowledge required to build the applications you need. You'll learn how to use Spring Data Flow's DSL and how to integrate with third-party cloud platform solutions, such as Kubernetes. Finally, the book covers Spring Cloud Data Flow applications to impart practical, useful skills for real-world applications of the technologies covered throughout the rest of the book. What You Will Learn

See the Spring Cloud Data Flow internals
Create your own Binder using NATs as Broker
Mater Spring Cloud Data Flow architecture, data processing, and DSL
Integrate Spring Cloud Data Flow with Kubernetes
Use Spring Cloud Data Flow local server, Docker Compose, and Kubernetes
Discover the Spring Cloud Data Flow applications and how to use them
Work with source, processor, sink, tasks, Spring Flo and its GUI, and analytics via the new Micrometer stack for realtime visibility with Prometheus and Grafana

Who This Book Is ForThose with some experience with the Spring Framework, Microservices and Cloud Native Applications. Java experience is recommended.

Felipe Gutierrez is a solutions software architect, with a bachelors and master degree in computer science from Instituto Tecnologico y de Estudios Superiores de Monterrey Campus Ciudad de Mexico. With over 20 years of IT experience, during which time he developed programs for companies in multiple vertical industries, such as government, retail, healthcare, education, and banking. Right now, he is currently working as a principal technical instructor for Pivotal, specializing in Cloud Foundry, Spring Framework, Spring Cloud Native Applications, Groovy, and RabbitMQ, among other technologies. He has worked as a solutions architect for big companies like Nokia, Apple, Redbox, and Qualcomm, among others. He is also the author of Introducing Spring Framework, Pro Spring Boot and Spring Boot Messaging, all published by Apress.

Part I. Introductions.- 1 - Cloud and Big Data.- 2 - Spring Boot.- 3 - Spring Integration.- 4 - Spring Batch.- 5 - Spring Cloud.- 6 - Spring Cloud Stream.- 7 - Spring Cloud Stream Binders.- 8 – Spring Cloud Data Flow Introduction & Installation.- Part II. Spring Cloud Data Flow: Internals.- 9 - Spring Cloud Data Flow Internals.- 10 - Custom Streams Apps with Spring Cloud Data Flow.- 11 - Task and Batch Apps with Spring Cloud Data Flow.- 12 - Monitoring.

Erscheint lt. Verlag	25.12.2020
Zusatzinfo	167 Illustrations, black and white; XV, 402 p. 167 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung
ISBN-10	1-4842-1240-1 / 1484212401
ISBN-13	978-1-4842-1240-0 / 9781484212400
Zustand	Neuware