Overview
- Demonstrates how to use Spring Cloud Data Flow for data ingestion, analytics, batch processing, and export
- Integrates Spring Cloud Data flow with Apache Mesos, Yarn, and Kubernetes
- Shows how to create applications that use real time data streaming
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About this book
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 For
Those with some experience with the Spring Framework, Microservices and Cloud Native Applications. Java experience is recommended.
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Keywords
Table of contents (12 chapters)
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Spring Cloud Data Flow: Internals
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Spring Cloud Data Flow
Book Subtitle: Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes
Authors: Felipe Gutierrez
DOI: https://doi.org/10.1007/978-1-4842-1239-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Felipe Gutierrez 2021
Softcover ISBN: 978-1-4842-1240-0Published: 25 December 2020
eBook ISBN: 978-1-4842-1239-4Published: 24 December 2020
Edition Number: 1
Number of Pages: XV, 402
Number of Illustrations: 167 b/w illustrations
Topics: Java, Computer Science, general, Computer Appl. in Administrative Data Processing