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.

Project Page | GitHub | Issues | Documentation

I am pleased to announce that Spring Boot 1.2.0 has been released and is available from repo.spring.io and Maven Central. This release adds a significant number of new features and improvements over 1.1 and is a recommended upgrade for all users. For upgrade instructions and "new and noteworthy" features please see the release notes.

Here are some of the highlights of this release:

Servlet 3.1

Spring Boot now uses Servlet 3.1 when running with an embedded servlet container. Tomcat 8, Jetty 9 and Undertow 1.1 are all supported options. In addition, WebSocket support has been improved and is now…

We are please to announce the release of Spring Security 4.0.0.RC1. This release resolved 40 tickets. You can find a highlight of the changes below.

• Updated Defaults - As security evolves, so does Spring Security. We took this opportunity to ensure that the defaults were more secure. For example, the XML Namespace support now enables CSRF protection by default.
• Polish WebSocket Security - We received very valuable feedback from the community which allowed us to polish the WebSocket security. We also added XML Namespace configuration support for WebSocket security. Details can be found on the update blog Preview Spring Security WebSocket Support
• Minimum Dependency Versions - The minimum dependency…

Speaker: Stephane Maldini

Slides:https://speakerdeck.com/smaldini/introduction-to-reactor-and-reactive-streams

What is the role of asynchronous, non-blocking style-communication in microservices? Join Stephane Maldini for a revealing look at why reactive components are so important in an eventually-consistent approach like microservice architecture. When services own their data and are completely independent, having a (reactive) abstraction layer can perform a variety of roles. Being able to parallelize resources a microservice owns is an important technique. Another might be as an event bus, pulling state data from various micro services dynamically, checking against the cached, fairly up-to-date local copy. While a microservice has “all” the data it needs from other services to respond to a request, this data is not necessarily up-to-date—an important constraint to be prepared to accept. Stephane will also discuss other async use cases outside of microservices and how www.reactive-streams.org protocol support allows levels of portability across vendor implementations.

!{iframe width="560" height="315" src="//www.youtube.com/embed/bn1zZDMyFpI" frameborder="0" allowfullscreen}{/iframe}

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.

  …

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.
• …

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…

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.

!{iframe width="560" height="315" src="//www.youtube.com/embed/mcJXjxZ3f9k" frameborder="0" allowfullscreen}{/iframe}

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.

!{iframe width="560" height="315" src="//www.youtube.com/embed/cBcznXjL840" frameborder="0" allowfullscreen}{/iframe}