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Spring Cloud Data Flow Developer

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Spring Cloud Data Flow is a cloud-native programming and operating model for creating, orchestrating and deploying composable data microservices on modern runtimes. It is an updated successor to our Spring Enterprise course.

This 2-day course provides participants with the skills needed to leverage Spring Cloud Data Flow for real-time and batch data extraction, processing, and ingestion.

The course offers hands-on experience with installation and administration of Spring Cloud Data Flow; usage of the Spring Cloud Data Flow shell; creating, configuring, deploying, and scaling streams and tasks; as well as the development of custom modules including sink, processor, and source stream applications by using Spring Boot and Spring Cloud Stream.

Upon completion of this course, participants will understand the following:

  • Spring Cloud Data Flow and the associated technologies used for processing data streams and batches
  • How to install Spring Cloud Data Flow
  • Spring Cloud Data Flow architecture
  • How to create and leverage Spring Cloud Data Flow Streams
  • How to create custom Spring Cloud Data Flow Stream applications by using Spring Boot and Spring Cloud Stream
  • How to create and leverage Spring Cloud Data Flow Tasks by using Spring Cloud Task and Spring Batch
  • Spring Cloud Data Flow analytics by using counters and gauges


1. Introduction

  • What is Data Ingestion?
  • What is Spring Cloud Data Flow?
  • When to use Spring Cloud Data Flow

2. Architecture

  • Spring Boot and Data Microservices
  • Spring Cloud Data Flow Components

3. Introduction to Streams

  • Overview
  • Stream App Starters
  • Sources, Sinks, Processors
  • Examples
  • Taps
  • Custom Sources and Sinks

4. Spring Cloud Stream

  • Main Concepts
  • Application Model
  • Binders, Configuration, Content Type and Transformation
  • Defining, Deploying & Managing Streams
  • Testing

5. Using Docker

  • Running Spring Cloud Data Flow using Docker containers

6. Using the Dashboard

  • Dataflow UI
  • Grafana Integration

7. Spring Batch

  • Main Concepts
  • Jobs, Steps and the Job Repository
  • Item Readers, Processors and Writers
  • Examples

8. Spring Cloud Task

  • Main Concepts
  • Creating Tasks
  • Managing Tasks
  • Triggering Tasks from Streams

9. Analytics

  • Counters
  • Discover available metrics via RES


  • Basic understanding of Spring and/or completion of the Core Spring course
  • Familiarity with running basic OS commands from a shell/command-prompt
  • Basic Java development skills, including ability to run Apache Maven command


  • Developers and architects interested in using Spring Cloud Data Flow for handling their data processing use cases.
  • Individuals who want to migrate existing Spring Integration or Spring Batch projects to Spring Cloud Data Flow.

2 Days Course

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