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 ForThose with some experience with the Spring Framework Microservices and Cloud
Native Applications. Java experience is recommended.
