國立虎尾科技大學 |

Spring Cloud Data Flow = Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spring Cloud Data Flow/ by Felipe Gutierrez.
Reminder of title:	Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes /
Author:	Gutierrez, Felipe.
Description:	XV, 402 p. 167 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Java (Computer program language). -
Online resource:	https://doi.org/10.1007/978-1-4842-1239-4
ISBN:	9781484212394

Spring Cloud Data Flow = Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes /
Gutierrez, Felipe.

Spring Cloud Data FlowNative Cloud Orchestration Services for Microservice Applications on Modern Runtimes /[electronic resource] :by Felipe Gutierrez. - 1st ed. 2021. - XV, 402 p. 167 illus.online resource.

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.

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.

ISBN: 9781484212394

Standard No.: 10.1007/978-1-4842-1239-4doiSubjects--Topical Terms:

686374
Java (Computer program language).

LC Class. No.: QA76.73.J38

Dewey Class. No.: 005.133

Spring Cloud Data Flow = Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes /
LDR:03580nam a22003855i 4500 001 1051047
003 DE-He213
005 20210617084350.0
007 cr nn 008mamaa
008 220103s2021 xxu| s |||| 0|eng d
020 $a 9781484212394 $9 978-1-4842-1239-4
024 7 $a 10.1007/978-1-4842-1239-4 $2 doi
035 $a 978-1-4842-1239-4
050 4 $a QA76.73.J38
072 7 $a UMX $2 bicssc
072 7 $a COM051280 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
100 1 $a Gutierrez, Felipe. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1109644
245 1 0 $a Spring Cloud Data Flow $h [electronic resource] : $b Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes / $c by Felipe Gutierrez.
250 $a 1st ed. 2021.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a XV, 402 p. 167 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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.
650 0 $a Java (Computer program language). $3 686374
650 0 $a Computer science. $3 573171
650 0 $a Application software. $3 528147
650 1 4 $a Java. $3 1115949
650 2 4 $a Computer Science, general. $3 669807
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 669633
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484212400
776 0 8 $i Printed edition: $z 9781484212417
856 4 0 $u https://doi.org/10.1007/978-1-4842-1239-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)