東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Spring Cloud data flow = native clou...

Gutierrez, Felipe.

Linked to FindBook

Google Book

Amazon

博客來

Spring Cloud data flow = native cloud orchestration services for microservice applications on modern runtimes /

Record Type:	Electronic resources : 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.
Published:	Berkeley, CA :Apress : : 2021.,
Description:	xv, 402 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
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. - Berkeley, CA :Apress :2021. - xv, 402 p. :ill., digital ;24 cm.

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:

522522
Java (Computer program language)

LC Class. No.: QA76.73.J38 / G88 2021

Dewey Class. No.: 005.133

Spring Cloud data flow = native cloud orchestration services for microservice applications on modern runtimes /
LDR:03291nmm a2200325 a 4500 001 2237144
003 DE-He213
005 20201224124948.0
006 m d
007 cr nn 008maaau
008 211111s2021 cau s 0 eng d
020 $a 9781484212394 $q (electronic bk.)
020 $a 9781484212400 $q (paper)
024 7 $a 10.1007/978-1-4842-1239-4 $2 doi
035 $a 978-1-4842-1239-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.J38 $b G88 2021
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
090 $a QA76.73.J38 $b G984 2021
100 1 $a Gutierrez, Felipe. $3 2072986
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.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xv, 402 p. : $b ill., digital ; $c 24 cm.
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 522522
650 0 $a Application software $x Development. $3 539563
650 0 $a Cloud computing. $3 1016782
650 0 $a Computer science. $3 523869
650 0 $a Application software. $3 527258
650 1 4 $a Java. $3 517732
650 2 4 $a Computer Science, general. $3 892601
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 892567
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-1239-4
950 $a Professional and Applied Computing (SpringerNature-12059)