Spring Boot 1.1.10 has been released and is available now from repo.spring.io and Maven Central.

This maintenance release includes a small number of fixes and enhancements and is recommended for anyone that doesn't yet want to upgrade to the new 1.2.0 release.

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Welcome to another installment of This Week in Spring! In a few short weeks we'll be in 2015! Will that be exciting? Of course. But this week's pretty exciting as well! So much good stuff this week.

• Spring Boot 1.2.0 is here! So many new features for Java EE (Servlet 3.1-baseline, JTA, JMS and JNDI support) and improved Jackson output, Actuator endpoints, CLI updates and performance. Spring Cloud is already tracking 1.2 and will be based on this soon, as well. Get the bits.

• Spring Boot 1.1.10 is now available with numerous fixes.

• Resident mad-scientist Andy Wilkinson just announced the latest cut of the Spring IO platform library. There are lots of things of note, but in particular it's added support for Spring Integration Flow 1.0, Spring Integration Java DSL 1.0, and Spring Integration Splunk 1.1 and updated revisions for several projects besides.

  …

On behalf of the team I am pleased to announce the immediate availability of Spring Framework 4.1.3.

Spring Framework 4.1.3 is our third maintenance release in the 4.1.x line and comes with over 50 fixes and improvements. It was initially scheduled for late December but we decided to release it early to incorporate user-suggested and user-contributed improvements right in time for the scheduled Spring Boot 1.2 release this week.

We are still planning on another release later this month (4.1.4) at which point 4.1.x will turn into a maintenance branch, with active development on 4.2 happening on…

Spring XD - A Guided Tour

Recorded at SpringOne2GX 2014.

Speakers: Patrick Peralta, David Turanski

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/spring-xd-guided-tour

What happens when a Stream is deployed to a Spring XD cluster? How does Stream processing and data partitioning work? How does the cluster recover when a Spring XD container goes down? How does Spring XD create and manage application contexts? What is a Plugin? How does Spring XD support extensibility? Our experienced guides will take you on a tour of the Spring XD runtime environment, navigating Streams and observing how Modules thrive in their natural habitat. We will explore the role of ZooKeeper, Spring Integration, and Spring Boot through beautiful panoramas, code samples, and daring demonstrations.

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Recorded at SpringOne2GX 2014.

Speaker: Carlos Queiroz

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

Big Data Track

The lambda architecture has been proposed as a general purpose data system that aims to solve the problem of computing arbitrary functions on an arbitrary dataset in (near) real-time. In this talk we introduce the lambda architecture and show how it can be implemented with SpringXD, GemFireXD and Hadoop (HDFS and MapReduce) as the foundation of the architecture implementation. To validate the architecture we introduce a CDR (Call Detail Record) mining application as use case of the lambda architecture. We finalise by showing a demo of the CDR (Call Detail Record) mining application.

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Recorded at SpringOne2GX 2014.

Speakers: Vineet Goel, Girish Lingappa, Rodrigo Meneses

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

Big Data Track

As Hadoop goes mainstream in enterprise big data deployments, IT organizations expect and demand enhanced operational management of their Hadoop clusters in production. Admins require more than just cluster health monitoring; they need the ability to do real time workload analysis for performance tuning and troubleshooting. Real-time log analysis of jobs at a user or application level can allow admins to manage and tune workloads better, especially in multi-tenancy Hadoop cluster services. Join us to learn how Pivotal team leveraged Spring XD data ingestion and batch processing framework, GemFire XD & other components to solve this interesting challenge on a large 1000-node (Analytics Workbench) cluster. Using Spring XD to ingest YARN service and MapReduce application logs through a real-time data pipeline into HDFS, the team leveraged familiar SQL-based queries to analyze fine-grained cluster utilization.

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Recorded at SpringOne2GX 2014.

Speakers: Mark Fisher and Mark Pollack

Slides: http://www.slideshare.net/SpringCentral/develop-powerful-big-data-applications-easily-with-springxd

Big Data Track

Spring XD aims to provide a one stop shop for writing and deploying Big Data Applications. It provides a scalable, fault tolerant, distributed runtime for Data Ingestion, Analytics, and Workflow Orchestration using a single programming, configuration and extensibility model. By not requiring developers to rationalize all of this themselves across the many different solutions available today, Spring XD greatly reduces the inherent complexity of Big Data development. It's all built on proven projects like Spring Integration, and Spring Batch. You'll see for yourself how this heritage combines to provide a scalable runtime environment, that is easily configured and assembled via a simple DSL.

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I am pleased to announce that Spring for Android 2.0.0.M2 is now available in the Spring milestone repository. Highlights include:

• Support for the Android port of HttpClient 4.3 via HttpComponentsClientHttpRequestFactory
• Support for HttpClient 4.0 included with Android is now deprecated but will remain available through HttpComponentsAndroidClientHttpRequestFactory.
• HTTP PATCH support in RestTemplate
• The type conversion package from Spring Core is now available in Spring for Android Core.
• Many improvements and fixes from Spring 3.2 are now merged into Spring for Android to bring baseline compatibility to Spring 3.2, while certain RestTemplate features from Spring 4.1 have been included to support the new HttpClient.
• …

Welcome to another installment of This Week in Spring! This week I'm at the Rich Web Experience in Ft. Lauderdale, FL, joining my pal Matt Stine for a workshop on building microservices with Spring Boot, Spring Cloud and Cloud Foundry.

So, without further ado, let's get to it:

• Dr. Dave Syer just announced the M3 release of Spring Cloud, complete with loads of cool stuff, including a smarter Ribbon-enabled load-balancing RestTemplate, a RabbitMQ-based aggregator for Hystrix Metrics based on Turbine 2, Spring Cloud for AWS support, and much more
• Spring ninja Sebastien Deleuze just announced some of the amazing new features in Spring's Jackson support. My favorite? JSON + XML marshalling with dynamic views. Views are a logical subset of attributes from a JSON structure that may be rendered dynamically.
• Check out Spring Roo 1.3.1 and includes bug-fixes for reverse engineering and third party addon installations. Thanks, community and Disid in particular for the updates!
• Spring and Groovy & Grails Tool Suite lead Martin Lippert just announced versions 3.6.3. The new release includes updated Spring Integration visualizations, a installed-by-default Cloud Foundry plugin and more. Check it out!
• Want to learn about the Spring Integration Java configuration DSL in terms of a working, line-by-line example? Check out this post by Java configuration DSL lead Artem Bilan and if you want to see how it works on JDK 7 or earlier, check out this post.
• Spring Data lead Oliver Gierke just announced the first milestone of the next Spring Data release train, Spring Data Fowler.
• The replay from the good Dr. David Syer's SpringOne2GX 2014 talk on security for microservices is now available online.
• Additionally, check out Dr. Syer and Spencer Gibb's talk introducing Spring Cloud to the world at SpringOne2GX 2014!
• Check out the SpringOne2GX 2014 replay of Reactor project ninjas Jon Brisbin and Stephane Maldini's talk: Building Reactive applications with Reactor and the Reactive Streams standard
• Join Spring Integration project-lead Gary Russell for a not-to-be-missed webinar on January 27th that introduces the just-released Spring Integration Java configuration DSL!
• You know what they say: go grid or go home! Or something like that…​ anyway, definitely check out my pal Luke Shannon's upcoming webinar on building scalable data applications with Spring Data Gemfire
• Adao Feliz put together a nice post on using Spring Boot and Docker. It's pretty straightforward, so check it out!
• The All and Sundry blog has a nice post on how to consume linked resources using Spring's RestTemplate.
• Check out the early bits for the next-gen Cloud Foundry built from the ground up on the Go language and supports Docker as a first-class citizen. If you know how to use Vagrant, it's dead simple to get a full working Cloud Foundry cloud running on your laptop if you follow these instructions. Do try it out and let us know!