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

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. 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. In Pro Spring Xd, You'll Develop A Foundation For Creating Applications That Use Real-time Data Streaming Starting With Your First Spring Xd Application. Then, You'll Examine The Spring Xd Internals Such As Xd Components Such As Jobs, Taps And Even More On Streams. Additionally, You'll Understand The Spring Xd Architecture, Messaging, And Dsls. Furthermore, While Building Up Your Case Study Application, You'll Learn And Examine Spring Xd's Administration And Monitoring Tools, Development And Deployment Tools, The Spring Xd Rest Apis. Finally, You'll Learn How To Extend And Use The Available Spring Xd Modules And Extensions And Integrate With The Spring Integration Framework For A Most Robust Spring Xd Application. Pro Spring Xd Is Your Authoritative Guide To Using The Spring Xd Platform. This Integral Spring Set Of Tools Lets You Build Applications Or Application Aspects That Take Advantage Of Big Data. Spring Xd Is Essentially A Unified, Distributed, And Extensible System For Data Ingestion, Real Time Analytics, Batch Processing, And Data Export. It Also Lets You Work With Third Party Big Data Processing Engines Like The Very Popular Hadoop And More. What You’ll Learn How To Use Spring Xd And Integrate It With The Spring Platform To Build Complex Data-rich Enterprise Cloud Applications How To Use Spring Xd With The Popular Hadoop And Other Big Data Processing Engines And Frameworks How To Use Spring Xd Components: Streams, Jobs, Taps How To Use Other Spring Xd Internals Like Xd Architecture, Xd Messaging And Xd Dsl How To Use Advanced Techniques Like Spring Xd Administration And Monitoring, Development And Deployment, The Spring Xd Rest Apis How To Extend Spring Xd Using Its Modules And Extensions How To Use Spring Integration With Spring Xd And More Who This Book Is For This Book Is For Experienced Java And Enterprise Java Programmers/developers Who Have At Least Some Prior Experience With Using The Popular Spring Framework And Platform.