DevCon – java dot net – Turning “community” into the killer app for Java Developers

Bio: John is the CTO of, founder and original community manager. As CTO, He is getting more involved within the community and focusing on the technologies of This includes letting the world know about cool technologies and projects on as well as looking for cool and new technologies to join He gets to write more code in this role and tinker with new technologies and that should be fun\! John will also be working to get more involvement out of the “Java Industry” and hopefully recruit more companies and industry groups to join and contribute.

Abstract: The killer app for Java Developers is collaboration and provides the ultimate online community for collaborative development. Feature rich with collaboration tools like Wikis, Blogs, CVS, Issue Tracking, Instant Messaging, and more, is a virtual playground for Java developers. With over 130,000 members and 1,800\+ projects, if there’s something new or cool going on in Java, it’s happening on Whether it’s Java3D, Project Looking Glass, Real Time Java, or Mustang, you will find it here. Learn how you can be part of these exciting innovations as they happen instead of just reading about them elsewhere.

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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.


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