Spring Cloud Data Flow : native cloud orchestration services for microservice applications on modern runtimes / Felipe Gutierrez.
2021
QA76.73.J38 G88 2021
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Title
Spring Cloud Data Flow : native cloud orchestration services for microservice applications on modern runtimes / Felipe Gutierrez.
Author
ISBN
9781484212394 (electronic book)
1484212398 (electronic book)
1484212401
9781484212400
148421241X
9781484212417
9781484212400 (print)
9781484212417 (print)
1484212398 (electronic book)
1484212401
9781484212400
148421241X
9781484212417
9781484212400 (print)
9781484212417 (print)
Published
[Berkeley, CA] : Apress, [2021]
Language
English
Description
1 online resource (xv, 402 pages) : illustrations
Item Number
10.1007/978-1-4842-1239-4 doi
9781484212400
9781484212394
9781484212400
9781484212394
Call Number
QA76.73.J38 G88 2021
Dewey Decimal Classification
005.13/3
Summary
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. You will: 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Copyright Information
© Copyright 2021 Felipe Gutierrez. 2021
Digital File Characteristics
text file
Source of Description
Online resource; title from digital title page (viewed on February 05, 2021).
Available in Other Form
Print version: 9781484212400
Print version: 9781484212417
Print version: 9781484212417
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Table of Contents
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.
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.