Integrating Spring Batch and Spring Integration

Integrating Spring Batch and Spring Integration

August 20, 2013

This talk is for everyone who wants to efficiently use Spring Batch and Spring Integration together. Users of Spring Batch often have the requirements to interact with other systems, to schedule the periodic execution Batch jobs and to monitor the execution of Batch jobs. Conversely, Spring Integration users periodically have Big Data processing requirements, be it for example the handling of large traditional batch files or the execution of Apache Hadoop jobs. For these scenarios, Spring Batch is the ideal solution. This session will introduce Spring Batch Integration, a project that provides support to easily tie Spring Batch and Spring Integration together. We will cover the following scenarios:

  • Launch Batch Jobs through Spring Integration Messages
  • Generate Informational Messages
  • Externalize Batch Process Execution using Spring Integration
  • Create Big Data Pipelines with Spring Batch and Spring Integration

About the Speaker

Gunnar Hillert is a member of technical staff (MTS) at SpringSource, a division of VMware, Inc. He is a committer of the Spring Integration project and also contributes to the Cloud Foundry project.
A native of Berlin, Germany, Gunnar has been living in Atlanta for the past 10 years. He enjoys developing web applications but also has a background in business integration. He graduated in 2002 from the University of Applied Sciences (HTW) Berlin in applied computer science after defending his thesis.
If not playing with and learning the latest and greatest technologies, Gunnar is an avid gardener specializing in anything sub-tropical such as bananas, palm trees and bamboo. Furthermore, Gunnar has been learning Spanish for the past three years. He and his wife Alysa have one daughter and a son and are raising both tri-lingually (English, German, Spanish). As time permits, Gunnar blogs at: http://blog.hillert.com/
Posted in Meetings
AJUG Meetup

Data Microservices with Spring Cloud Stream, Task, and Data Flow

Tuesday, July 19, 2016

Microservice based architectures are not just for distributed web applications! They are also a powerful approach for creating distributed stream and batch processing.

Spring Cloud Data Flow enables you to create and orchestrate standalone executable applications that communicate over messaging middleware such as Kafka and RabbitMQ that when run together, form a distributed stream processing application. It also allows users to create and orchestrate short lived microservices like batch jobs or boot applications that perform a task and then terminate when complete.

This allows you to scale, version and operationalize stream processing and task applications following microservice based patterns and practices on a variety of runtime platforms such as Cloud Foundry, Apache YARN and others.

Location:


Holiday Inn Atlanta-Perimeter/Dunwoody

4386 Chamblee Dunwoody Road,
Atlanta, GA (map)

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