Recorded at SpringOne2GX 2013 in Santa Clara, CA.

Speakers: Alvaro Videla, Jan Machacek

Jan will show how to use RabbitMQ to connect components on different platforms. After a few introductory slides explaining the main concepts, the rest of the talk will be live code. The coding will begin by showing Spring Integration code to connect to RabbitMQ to send and receive messages--think byte[] values back and forth to start with. Jan will then show the real power of RabbitMQ by replacing the RPC server component by native code in C++: we will write image processing component. To make matters even better--faster--we will then use CUDA to perform the image processing. Come to Jan's talk and demo if you want to find out how to use RabbitMQ in the core of your application, especially if your application needs to tie together code on completely different platforms and if it performs heavy number crunching or image processing. You do not need to have deep knowledge of Spring Integration, AMQP or OpenCV, ...; all that you will need is your inner geek.

Learn more about RabbitMQ at

http://www.gopivotal.com/products/pivotal-rabbitmq

and

http://www.rabbitmq.com

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speakers: Peter Bell (MongoDB Master), Costin Leau (Elasticsearch), Christoph Strobl (Solr) and Michael Nitschinger (Couchbase)

Spring Data has started as an umbrella project consisting of many individual modules - per supported data store. While some of these data store modules - like the JPA and MongoDB ones - are maintained by Pivotal engineers a lot of community implementations have popped up lately. They build on the foundations of the Spring Data Core module and expose the Spring Data programming model for others stores. The session will feature maintainers and contributors of the community modules for Solr (Christoph Strobl), Elasticsearch (Costin Leau), Couchbase (Michael Nitschinger) and MongoDB (Peter Bell), who will talk about the latest and greatest features of the upcoming releases and give an impression of how they used the APIs of Spring Data Core to build the module. Spring Data has stared as an umbrella project consisting of many individual modules - per supported data store. While some of these data store modules - like the JPA and MongoDB ones - are maintained by Pivotal engineers a lot of community implementations have popped up lately. They build on the foundations of the Spring Data Core module and expose the Spring Data programming model for others stores. The session will feature maintainers and contributors of the community modules for Solr (Christoph Strobl), Elasticsearch (Costin Leau), Couchbase (Michael Nitschinger) and MongoDB (Peter Bell), who will talk about the latest and greatest features of the upcoming releases and give an impression of how they used the APIs of Spring Data Core to build the module.

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speakers: Smitha Gudur, Manoj Joshi, Redbasin Networks

Cancer/life science drug research models are very rich in relationships, relationship heterogeneity and entity inter-dependencies. Most entity metadata is dynamic and unpredictable making it difficult to fit such models in traditional relational landscape. Redbasin Networks uses a hybrid Nosql strategy that supports composite and rich document metadata that is interconnected pervasively. Cancer and life science data is excessively nested. You will find this useful if you are building complex engineering and/or scientific applications, and need insights on how to merge data from many diverse data-sets and map it to an intuitive and effective graph database model. We will show using code examples how complex metadata can be engineered using Spring, Neo4J and Mongo, to create useful drug insights for the drug researcher, and also provide a platform for technologists to build sophisticated life science applications.

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speakers: Lou Crocker, John Ferguson

Much like Spring burst onto the scene and became a defacto standard for Java, Sencha is vying for a similar role in the world of HTML5. From Ext JS for desktop development, Sencha Touch for mobile, and Sencha Architect as a design tool, it has become a pervasive technology in the new paradigm of multi-client development. In this session we will use our own SpringTrader reference application to illustrate integration techniques of Spring with Sencha. We will go beyond the basic wiring of a REST call with binding results to UI components, and look at mapping the Spring MVC and Sencha MVC architectures, along with other tips and tricks to streamline your mobile application development efforts.

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Rob Harrop

Running applications in the cloud presents a set of interesting new problems, constraints and opportunities. In this talk, attendees will learn how best to deploy, run and manage their Spring applications in the Amazon cloud. Covering everything from basic applications in Amazon Beanstalk to large-scale applications that span multiple regions and interact closely with on-premise resources, this talk will equip attendees with the knowledge they need to be successful running Spring in the cloud.

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Speakers: Daniel Mikusa and Stuart Williams

Slides: https://speakerdeck.com/dmikusapivotal/apache-tomcat-8-preview

Apache Tomcat 8 implements new versions of the Servlet, JSP and EL specifications as well as adding support for the new WebSocket specification. Work has also been completed on internal refactoring in a number of areas that will impact a number of Tomcat specific features. This presentation will provide an overview of the changes and new features introduced by both the updated specifications and the Tomcat specific changes. This session will enable attendees to identify the Tomcat 8 features of greatest interest to them and provide them with the information required to start planning their migration to Tomcat 8.

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Speaker: Juergen Hoeller

Spring has a track record of providing dedicated support for new Java generations in a timely fashion, and now it’s right about time to go Java 8: With Spring Framework 4.0, we're providing in-depth support for all relevant OpenJDK 8 features, including lambda expressions, JSR-310 Date and Time, parameter name discovery, and java.util.concurrent enhancements. This talk will illustrate basic Spring Framework 4.0 concepts, and selected Java 8 features within Spring's programming model, exploring the impact on application architectures.

Tuesday, March 25, 2014 2:00 pm GMT Time (London, GMT) Register

Tuesday, March 25, 2014 10:00 am Pacific Daylight Time (San Francisco, GMT-07:00) Register

Speaker: Mattias Arthusson

The recently released 2.0 version has given the Spring LDAP project a significant facelift. With new features like Spring Data Repository and QueryDSL support, a fluent LDAP query builder, and XML namespace configuration, LDAP administration applications can now be built more efficiently than ever. This webinar will provide an overview of the goals and scope of Spring LDAP and demonstrate all the improvements in version 2.0, giving you plenty of hands-on tips along the way on how to make maximum use of the library.

Tuesday, March 18, 2014 2:00 pm GMT Time (London, GMT) Register

Tuesday, March 18, 2014 10:00 am Pacific Daylight Time (San Francisco, GMT-07:00) Register

Recorded at SpringOne2GX 2013 in Santa Clara, CA.

Speaker: Michael Hunger

Spring Data Neo4j in its 2.x version is a mature implementation of an object graph mapping framework, that both closely integrates with the Spring Framework and also offers unique modeling and querying opportunities by having chosen the property graph data model. This talk presents how several Neo Technology customers already put Spring Data Neo4j into production. They stem from a variety of domains -- gaming, server center monitoring, education, appliance management, energy market simulation and more. Based on those use-cases we discuss how to implement real-world applications with Spring Data Neo4j and the Spring Framework. First we want to discuss the business problems they had to solve and why a graph database was a good fit for them. After a quick intro to Spring Data Neo4j and Neo4j, we will talk about modeling choices and the benefits and implications of choosing a rich data model. We'll follow the example domains into code, from annotated domain entities, to the usage of the powerful repository abstractions. Showing how to use Neo4jTemplate to implement some lower level functionality will round off the core library usage. Building on this, we look into the integration aspects, how Spring Data Neo4j can be combined with other Spring projects, like Spring Data MongoDB, Spring Data REST, and Spring Batch. A quick demonstration shows on how to access Spring Data Neo4j from the (Web)-UI layer. The talk will close of with a glimpse into the future: Neo4j added some very interesting features in its 2.0 release. From node labels, automatic indexes and constraints to a transactional http endpoint for Cypher. These changes make it possible to rethink some aspects of Spring Data Neo4j, like type representation and indexing. But also some bigger ideas for changes ahead like basing the object graph mapping completely on Neo4j's Cypher Graph Query Language will be touched.

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