Jon works with the Spring Data, Grails, RabbitMQ, and other teams to provide next-generation data and messaging capabilities for modern Ajax and mobile applications. He's been working with Spring Data to provide mapping capabilities for NoSQL databases like MongoDB and Riak and he's working with RabbitMQ and NoSQL to provide modern evented and message-driven data utilities. He authored the Grails support for Riak as well as contributes Erlang-based utilities for the Riak and RabbitMQ communities.
Prior to SpringSource, Jon developed private cloud architectures at the world's largest Pizza Hut franchisee, developed Lotus Domino, J2EE, PHP and even Perl CGI applications in BBEdit on an aged Mac, and got his start in web-based development 15 years ago, as an intelligence analyst for the US Air Force, when NCSA Mosaic 1.0 was cool.
The Spring Data support for NoSQL databases is designed to be useful from Java. But it's even more so from Groovy. In combination with the RabbitMQ DSL for Groovy, we'll look at making NoSQL at home in the Groovy/Grails world. We'll look at Closures as consumers, the Riak data access DSL that's part of Spring Data for Riak, and using the MongoDB support in Spring Data to NoSQL-enable a Groovy application.
The demands of modern applications are changing to be more asynchronous in nature. With the increasing popularity of event frameworks like Node.js for building applications, it's possible to event data such that updates to data in the datastore trigger a series of events in the application to do things like freshen caches, perform summary calculations, and sundry other things. This presentation will demonstrate how to event data using the Riak datastore and a postcommit hook that will send an AMQP message through RabbitMQ that can be consumed by Spring Integeration, Spring AMQP, Grails, Node.js, Ruby, or other application backends.