Speaker: Scott Deeg

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.

Tuesday, March 24th, 2015 10:00AM PDT (San Francisco GMT-07:00) Register

Recorded at SpringOne2GX 2014

Speakers: Roy Clarkson, Greg Turnquist

Slides: http://www.slideshare.net/SpringCentral/spring-one2gx-2014widedatameetshypermedia

Spring Data REST bridges the gap between the convenient data access layers provided by Spring Data's repository abstraction and hypermedia-driven REST web services, effectively taking out the boilerplate needed during implementation. This talk will give a quick overview of the project, explain fundamental design decisions and introduce new features of the latest version (namely service documentation and discoverability). We will then look at the Spring-A-Gram sample application (built using Spring Data REST), focusing on the implementation of the frontend bits and pieces.

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

Maven's dependency management includes the concept of a bill-of-materials (bom). A bom is a special kind of pom that is used to control the versions of a project's dependencies and provides a central place to define and update those versions.

A number of Spring projects including Spring Framework, Spring Cloud, Spring Boot, and the Spring IO Platform provide boms to make things easier for Maven users. Unfortunately, things haven't been quite so easy if you're using Gradle.

Dependency management in Gradle

Gradle's dependency management uses a ResolutionStrategy to take control of a project's dependency versions. This offers a lot of power and flexibility but doesn't provide a way to reuse the dependency management that's already been declared in a Maven bom. As a result, you have to do so manually. Depending on the bom, this can easily equate to tens of additional lines in your build.gradle…

Recorded at SpringOne2GX 2014.

Speakers: Erdem Gunay, Turkcell - Tim Hobson, Intuit - Zach Lendon, Independent

Slides: http://www.slideshare.net/SpringCentral/spring-one2gx-2014wideerdemgunay-41125935

Core Spring Track

In this Panel session, each of these presenters will have 20 minutes to respond to the question: tell us about your experiences with Spring Boot? Following that is about 30 minutes of moderated panel discussion. Erdem Gunay from Turkcell will present his experience of re-writing a Mobile BaaS originally written with Spring 3.x. He wrote the service from scratch using Boot in one week, integrating spring security, elasticsearch, mongodb, camel, angular.js, for the win: 40x throughput, 100% availability - zero crashes, 3x the users - used on 300k mobile devices. Tim Hobson from Intuit will present his lessons learned from using with Boot - he will take you through what configuration was necessary, what needed to be built, and how the project leveraged Boot to minimize cross-cutting code and configuration, maximize testability, and focus on the application domain. Zach will present a view of Boot from the hospitality industry, where they are using JAX-RS, DropWizard, and Spring Boot to create micro-service applications. He will help you understand which dropwizard-spring integrations work, and which one's don't, what to watch out for, and how to integrate your Spring applications into dropwizard whether you configure your Spring applications with xml, annotations, and/or java config files.

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

Recorded at SpringOne2GX 2014.

Speakers: Michael Hunger, Lorenzo Speranzoni - Neo Technology

Slides: http://www.slideshare.net/SpringCentral/artistic-spring-data-neo4j-3x-with-spring-boot-and-van-gogh

This session will show, how easy it is to get started with Spring Data Neo4j using Spring Boot. After a quick introduction of the concepts behind the Neo4j NoSQL graph database and its Spring Data integration library, we will discuss the general approach used in Spring Data Neo4j and highlight the exciting, new features of the new 3.x releases which now works with the most recent Neo4j 2.x versions. During the session we'll demonstrate the development steps of an exciting and unusual application - tracking an famous' artists journey connecting him to the places, paintings, people and other aspects that influenced him. Having this data in a graph allows us to find new insights and conclusions as well as quickly adding different aspects to it. This application will use Spring Boot and Spring Data Neo4j to get started quickly. We import the data, look at it as a graph visualization and then build a web-application using Spring Boot's supporting infrastructure. As a final step we show how evolving this application from being a just Neo4j client application to a REST extension of the Neo4j server requires only a few steps and can leverage Spring Data REST to provide the neccessary endpoints for consumers.

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

Recorded at SpringOne2GX 2014.

Speakers: Gunnar Hillert, Chris Schaefer Slides: Data / Integration Track

Slides: http://www.slideshare.net/SpringCentral/spring-batch-performance-tuning

In this presentation we will examine various scalability options in order to improve the robustness and performance of your Spring Batch applications. We start out with a single threaded Spring Batch application that we will refactor so we can demonstrate how to run it using: * Concurrent Steps * Remote Chunking * AsyncItemProcessor and AsyncItemWriter * Remote Partitioning Additionally, we will show how you can deploy Spring Batch applications to Spring XD which provides high availability and failover capabilities. Spring XD also allows you to integrate Spring Batch applications with other Big Data processing needs.

It’s my pleasure to announce that Spring Framework 4.1.5 has been released and is available now from repo.spring.io and Maven Central.

This maintenance release includes 49 fixes and enhancements from 4.1.4 and is a strongly recommended upgrade for all 4.x users.

Project Page | GitHub | Issues | Documentation

Stay tuned for 4.2 RC1, coming up in May!

Speakers: Sabby Anandan, Mark Fisher & Mark Pollack

Slides: https://speakerdeck.com/sabbyanandan/2015

Worried about Big Data and the challenges inherent in making a real application? You don’t have to worry anymore! Spring XD provides a one-stop shop solution that spans traditional enterprise to Big Data use cases - both batch and streaming. It's important to choose the right tool for each use-case, which is why Spring XD integrates with technologies such as Spark, Reactor and RxJava to demonstrate the flexibility and the unified programming model to support complex data computation use-cases. In this webinar, we'll show you how to develop data-driven use cases much faster than other big data solutions on the out of the box XD runtime.

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

Learn more about Spring Data: http://projects.spring.io/spring-data

This tip is drawn heavily from this Wiki-page on Spring XD's streaming support by various Spring XD team-members, and particularly the amazing Ilayaperumal Gopinathan

Spring XD 1.1 is here and is packed with lots of new features. One theme for this release is rich stream processing support. Spring XD 1.1 provides integration with Project Reactor Streams, RxJava Observables, and Spark's streaming.

Let's look specifically at using Reactor, though the concepts are similar across all of the supported streaming APIs.

Messages that are delivered on the Message Bus are accessed from the input Stream. The return value is the output Stream that is the result of applying various operations to the input stream. The content of the output Stream is sent to the message bus for consumption by other processors or sinks. To implement a Stream-based processor module you need to implement the interface org.springframework.xd.reactor.Processor…