JRuby

May 19, 2009 – JRuby

Description

Java has been around for over ten years and has served us well. But the strength of Java is not the language, but the JVM. Now we are seeing a renaissance of new languages for the JVM with some of the better known ones being Jython, Groovy, Scala, Clojure and Jruby. While Java has allowed to to do a lot, it also has shortcomings that many seasoned Java developers find themselves having to code around on a day to day basis. In order to get around these we often find ourselves adopting complex frameworks, having to implement design patterns and utilizing other tricks to make Java more like theses other languages that are already available on the JVM.

So why not use the tool that is appropriate for the Job? That is where Jruby comes in. We get the agility of Ruby, the ability to leverage a large number of existing Ruby libraries and frameworks with the Power of Java packaged into one. Is it the only tool available on the JVM that offers agility? No, but there are a lot of compelling reasons to use it.

In this discussion we will cover:
* What is Ruby
* What are it’s strengths?
* What are it’s weaknesses?
* What is JRuby?
* Can I run Rails on Jruby?
* When should I continue to use Java?
* What are some of the key differences between Jruby and Groovy?
* Is Jruby right for my project?

Speaker

Lance Gleason is currently a senior software engineer doing full time Ruby development for Cox communications. He has been in the software industry for over 12 years for large and small organizations including Eastman Kodak, Lockheed Martin, McKesson, and CNN. He is an avid technologist who enjoys playing with new technical gadgets, experimenting with new software languages, or figuring out new ways to use his closet of 4 servers and 4 laptops. You can find out more information about him at [http://www.lancegleason.com/].

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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.

Location:


Holiday Inn Atlanta-Perimeter/Dunwoody

4386 Chamblee Dunwoody Road,
Atlanta, GA (map)

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