Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Mike Wiesner

Creating a secure application involves more then just applying Spring Security to it. This is of course not a new topic, but with the increased popularity of much more dynamic configurations for Servlet Containers and various Spring Projects, like Spring MVC and Spring Integration, it becomes more important to know about the Security tradeoffs we might get with that, and how to tackle them.

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

Learn more about Spring MVC at http://projects.spring.io/spring-framework

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

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Spring Security OAuth 2.0.0.RC1 is available now from the Spring Repo. This is a huge step in the direction of modernisation and ease of use for OAuth server and client apps on Spring.

The headline feature is support for @Configuration(for OAuth2 only) and if you use Spring Boot to write your app you can serve tokens and protect the API resources in about 25 lines of code:

@Configuration
@EnableAutoConfiguration
@EnableResourceServer
@RestController
public class Application {

	public static void main(String[] args) {
		SpringApplication.run(Application.class, args…

As I'm sure most readers are aware, Java SE 8 was released last month. In conjunction with the recent release of STS 3.5.0 and its complete support for JDK 8, we thought now would be an ideal time to upgrade Sagan to take advantage of the new language features and APIs.

Note: Not yet familiar with the Sagan project? It's the Spring reference application that powers this blog and everything else at spring.io. Check out the first three posts in this series for more details.

Cloud Foundry's Java buildpack has provided support for JDK 8 since the day it was released. To begin using it, we've created our own fork of the buildpack, bumped the JDK version from 1.7.0 to 1.8.0, and configured our Gradle build…

The Spring XD team is pleased to announce that Spring XD Milestone 6 is now available for download.

This is our biggest release yet! The team has been hard at work, and Milestone 6 contains a wealth of new features that meet enterprise requirements in terms of reliability, performance, and user experience. Below is a quick Top Ten (in no particular order), but if you checkout the release notes you will realize how difficult it is to pick out 10 from the list of 299.

• Distributed and Fault Tolerant Runtime: Leader election among multiple xd-admin servers and automatic redeployment of modules to other xd-containers in the case of failure. ZooKeeper is introduced to manage the cluster and its deployment state.

• Support for running XD on YARN: Run admin and container nodes on a Hadoop YARN cluster rather than on VMs or physical servers that you need to manage. There are simple configuration and shell scripts that make this process very easy.

• Deployment Manifests: When deploying a stream you can provide a deployment manifest that describes how to transform the logical stream definition (e.g. http | hdfs) to a physical deployment on the cluster. You can specify the number of instances of each module to deploy and also a criteria expression (using SpEL) that evaluates each of the available containers in the cluster to determine the best matches for those module instances. This will be an area of active development for the next release as we extend the manifest to include support for data partitioning strategies.

  …

I am happy to announce the second service release of the Spring Data release train named Codd. The full list of participating modules looks as follows:

• Spring Data Commons 1.7.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.5.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.4.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 3.0.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Solr 1.1.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data REST 2.0.2 - Artifacts - JavaDocs - Documentation - Changelog
…

Recorded at SpringOne2GX 2013, in Santa Clara, CA

Speakers: Josh Long

Alright, so maybe "bootiful" won't ever work, but I tried, and it was worth it too because you're reading this. Spring Boot, the new convention-over-configuration centric framework from the Spring team at Pivotal, marries Spring's flexibility with conventional, common sense defaults to make application development not just fly, but pleasant! Join Spring developer advocate Josh Long for a look at what Spring Boot is, why it's turning heads, why you should consider it for your next application (REST, micro services, web, batch, big data, integration, whatever!) and how to get started.

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

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

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We are pleased to announce that the Spring Integration 4.0 release candidate (4.0.0.RC1) is now available. Please use the Milestone Repository with maven or gradle, download a distribution archive, or see the project home page for links to the updated documentation, and Maven/Gradle configuration details.

The release includes several bug fixes, some new features and further improvements with the GA release due near the end of April.

Here is a summary of major changes since the last milestone

@Poller and @InboundChannelAdapter

Building on the extensive improvements to annotation support announced in M4 Release, the new @Poller annotation has been added to each of the Messaging Annotations (@ServiceActivator, @Router etc.). The @Poller annotation attribute enables configuration of poller options for the inputChannel of the Messaging Annotation. This allows annotated endpoints to be PollingConsumers. Previously, annotated endpoints could only use SubscribableChannel…

Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speakers: Thomas Risberg, Janne Valkealahti

Big data and Hadoop is widely considered to be the next generation data platform. Hadoop is notoriously difficult to work with and just diving in and starting coding can easily lead to frustration. A better way is to leverage your existing Java and Spring skills to take advantage of these new technologies. In this presentation we will introduce Spring Data for Apache Hadoop and see how it can make working with Hadoop easier. We will also cover several ways to install a small Hadoop cluster that can be used to test your new Hadoop applications.

Learn More about Spring for Apache Hadoop at: http://projects.spring.io/spring-hadoop

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Jags Ramnarayan, Anthony Baker

Hadoop gives us dramatic volume scalability at a cheap price. But core Hadoop is designed for sequential access - write once and read many times; making it impossible to use hadoop from a real-time/online application. Add a distributed in-memory tier in front and you could get the best of two worlds - very high speed, concurrency and the ability to scale to very large volume. We present the seamless integration of in-memory data grids with hadoop to achieve interesting new design patterns - ingesting raw or processed data into hadoop, random read-writes on operational data in memory or massive historical data in Hadoop with O(1) lookup times, zero ETL Map-reduce processing, enabling deep-scale SQL processing on data in Hadoop or the ability to easily output analytic models from hadoop into memory. We introduce and present the ideas and code samples through Pivotal in-memory real-time and the Hadoop platform.

Learn more about Gemfire and Spring at: http://projects.spring.io/spring-data-gemfire

Learn more about Spring and Hadoop at: http://projects.spring.io/spring-hadoop

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

Learn more about Pivotal HD http://www.gopivotal.com/products/pivotal-hd

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