LEADER 03563oam 2200445 450 001 9910484846803321 005 20220722044858.0 010 $a1-4842-1239-8 024 7 $a10.1007/978-1-4842-1239-4 035 $a(CKB)4100000011679214 035 $a(DE-He213)978-1-4842-1239-4 035 $a(MiAaPQ)EBC6446312 035 $a(CaSebORM)9781484212394 035 $a(PPN)252518292 035 $a(EXLCZ)994100000011679214 100 $a20210610d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpring cloud data flow $enative cloud orchestration services for microservice applications on modern runtimes /$fFelipe Gutierrez 205 $a1st ed. 2021. 210 1$a[Place of publication not identified] :$cApress,$d[2021] 210 4$dİ2021 215 $a1 online resource (XV, 402 p. 167 illus.) 311 $a1-4842-1240-1 327 $aPart 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. 330 $aWork 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. 606 $aJava (Computer program language) 615 0$aJava (Computer program language) 676 $a005.133 700 $aGutierrez$b Felipe$0917406 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910484846803321 996 $aSpring cloud data flow$92899856 997 $aUNINA