Recorded at SpringOne2GX 2014.

Speaker: Lari Hotari

Essential Grails Track

Slides: http://www.slideshare.net/SpringCentral/grails-performanceoptimization-s2gx-2014-41177969

Grails has great performance characteristics but as with all full stack frameworks, attention must be paid to optimize performance.

Recorded at SpringOne2GX 2014.

Speaker: Dan Woods

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/4pieter-springone2gx2014distributedplatformdev

Building an Enterprise Application Stack means the necessity to have a service tier that can scale to the demands of business. This talk will discuss the approach to developing a scalable enterprise architecture, and will demonstrate implementations based on the variety of technologies available from the Groovy ecosystem, including Grails, Spring, Spring Boot, and Spring Integration.

Recorded at SpringOne2GX 2014.

Speaker: Kenneth Kousen

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/advanced-groovy-tips-and-tricks

Groovy has a very easy learning curve for Java developers, so many people become Groovy users without realizing all it can do. This presentation will examine features of Groovy that can make your life easier once you're past the initial adoption stage. Prerequisite: Some Groovy knowledge

Recorded at SpringOne2GX 2014.

Speaker: Paul King

More Groovy Track

Slides: http://www.slideshare.net/SpringCentral/groovy-asttransforms-paulkingsep2014b

In this talk you'll learn about some of Groovy's AST transformations.

Speaker: Scott Deeg

Slides: http://www.slideshare.net/sdeeg/spring-polymer-webinar-46514389

Polymer is the latest web framework out of Google. Designed completely around the emerging Web Components standards, it has the lofty goal of making it easy to build apps based on these low level primitives. Along with Polymer comes a new set of Elements (buttons, dialog boxes and such) based on the ideas of "Material Design". These technologies together make it easy to build responsive, componentized "Single Page" web applications that work for browsers on PCs or mobile devices. But what about the backend, and how do we make these apps secure? In this talk Scott Deeg will take you through an introduction to Polmyer and its related technologies, and then through the build out of a full blown cloud based app with a secure, RESTful backend based on Spring REST, Spring Cloud, and Spring Security and using Thymeleaf for backend rendering jobs. At the end he will show the principles applied in a tool he's currently building. The talk will be mainly code walk through and demo, and assumes familiarity with Java/Spring and JavaScript.

Learn about about Spring Security at http://projects.spring.io/spring-security

Learn about about Spring Cloud at http://projects.spring.io/spring-cloud

Speaker: Julien Dubois

Slides:http://www.slideshare.net/julien.dubois/jhipster-for-spring-boot-webinar

JHipster focuses on generating a high quality application with a Java back-end using an extensive set of Spring technologies; Spring Boot, Spring Security, Spring Data, Spring MVC (providing a framework for websockets, REST and MVC), etc. an Angular.js front-end and a suite of pre-configured development tools like Yeoman, Maven, Gradle, Grunt, Gulp.js and Bower. JHipster creates a fully configured Spring Boot application with a set of pre-defined screens for user management, monitoring, and logging. The generated Spring Boot application is specifically tailored to make working with Angular.js a smoother experience. Join Julien for a quick-live coding session to build a simple application, and deploy it to Cloud Foundry.

Learn about about Spring Boot at http://projects.spring.io/spring-boot

Recorded at SpringOne2GX 2014. Big Data in Memory

Speaker: John Davies, C24

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/spring-one2gx-2014-john-davies-41130273

OK so everyone’s into big data but they’re usually talking about persistence, disk or more recently SSD, how about memory? We could simply add a few terabytes of RAM but even at $100 per GB that’s going to cost a LOT. What if we could reduce the size of the data by 50 fold and effectively bring the cost RAM down towards cost of disk? Keep Spring Integration, Spring Batch, GemFire in-memory cache, RabbitMQ messaging but reduce your data down to binary, yes bits and bytes rather than objects. Less garbage, less network overhead, same APIs but big-data in memory. John will show a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.

Learn more about Spring XD: http://projects.spring.io/spring-xd

Learn more about Spring Integration: http://projects.spring.io/spring-integration

Learn more about Spring Batch: http://projects.spring.io/spring-batch

Recorded at SpringOne2GX 2014.

Speakers: Derek Beauregard, Phil Berman, Michael Minella, Darrel Sharpe

Big Data Track Slides: http://www.slideshare.net/SpringCentral/iot-realized-the-connected-car

For this session we will explore the power of Spring XD in the context of the Internet of Things (IoT). We will look at a solution developed with Spring XD to stream real time analytics from a moving car using open standards. Ingestion of the real time data (location, speed, engine diagnostics, etc), analyzing it to provide highly accurate MPG and vehicle range prediction, as well as providing real time dashboards will all be covered. Coming out of this session, you’ll understand how Spring XD can serve as “Legos®” for the IoT.

Learn more about Spring XD: http://projects.spring.io/spring-xd

Learn more about Spring Integration: http://projects.spring.io/spring-integration

Learn more about Spring Batch: http://projects.spring.io/spring-batch

Recorded at SpringOne2GX 2014.

Speaker: Peter Ledbrook

Core Groovy Track

Slides: http://www.slideshare.net/SpringCentral/groovy-forjavadeveloperss2gx2014

Java is a good all-purpose programming language, but does that mean it's the best tool for all jobs?