We are pleased to announce the first release candidate of Spring Integration 2.0! Download | Reference Manual | JavaDoc

I thought I would take the opportunity to provide a general "what's new?" guide. There are actually too many new features and improvements to cover them all in a single post, but I will focus on some of the highlights. We will be posting more blogs as we get closer to the 2.0 GA release. For now, this post is roughly based on a session that Oleg and I presented last week at SpringOne. That presentation was mostly demo-driven, and the code is available in our Git repository.

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After more than ten months of development and nearly 900 individual improvements, Spring Roo 1.1.0 has been released (download here)! Coinciding with the Spring Roo 1.1.0 GA release, the Google Web Toolkit, SpringSource Tool Suite, AspectJ and AJDT teams have completed supporting GA releases so that you can enjoy the latest versions of these tools all working nicely together.

We've introduced so many new features in Spring Roo 1.1.0 that it's difficult to decide what to highlight. Nevertheless, let's take a brief tour over some of the goodies we've added for your Java programming pleasure.

Incremental Database Reverse Engineering

It's now possible to reverse engineer an existing relational database and automatically create Roo entities with corresponding fields. But hasn't it been possible to do that using JPA tools for a long time? Yes, absolutely. The key difference is Roo's database reverse engineering is incremental. This means that when Roo reverse engineers a database, it places all of the fields it discovers into inter-type declarations (ITDs). This is consistent with the rest of Roo, and allows Roo to easily deliver round-trip maintenance of the reverse engineered entity. In particular, you can re-introspect a database repeatedly to identify any changes while ensuring any code you've written in the .java sources is preserved. Roo will even delete entities that no longer exist (unless of course you've asked Roo not to) and Roo automatically handles complex situations like composite primary keys (complete with identifier class creation and maintenance…

One of the many reasons for the rise of NoSQL datastores is the need to scale applications beyond their traditional comfort zone in the relational world. The irony is that Gemfire has been doing exactly this long before the term NoSQL was even coined by providing scale to some of the largest financial organizations in the world.

Gemfire is far more than a cache, but a complete data fabric with support for Grid Computing, Map/Reduce, continuous queries and transactional write-behind.

For those of you who attended the keynote at the hugely successful SpringOne2GX conference this may be old news. For the rest today I am pleased to announce the availability of the GORM for Gemfire…

We are currently celebrating our 6^th SpringOne 2GX developer show—since last year, also a celebration of Groovy and Grails. As always, it’s great to hang out with the developer community that has made Spring the phenomenon it is. This year, we not only have record attendance (doubled over last year!) and a fantastic roster of partners (headed by Google, salesforce.com and Accenture), but an unusually large number of initiatives to share with our community.

With so many topics to discuss this could easily turn into the longest blog post in history. Instead, let’s address some of the highlights…

Spring on Java EE 6 - a viable combination? Can you easily continue to use Spring when you have a Java EE 6 server to deploy to? At this year's edition of the SpringOne conference which kicked off just a few hours ago, I'll once again be presenting a session on Spring and EE 6: now with a focus on GlassFish 3 as an actually available (and at this point, still the only available) EE 6 server for production environments. As a sneak preview, here are four key considerations taken from that presentation...

1. A Java EE 6 server like GlassFish 3 is a fine runtime environment for Spring 3

GlassFish 3 provides a lot of out-of-the-box middleware: Servlet 3.0, JSF 2.0, JPA 2.0, as…

Just some of the properties of new, modern applications are that they tend to be highly interactive, data rich, include business processes, and are available over the web from PCs and mobile devices. Powering these applications are platforms that leverage virtualized infrastructure, provide just the right amount of functionality and can scale easily as demand shifts.

VMware’s vFabric Cloud Application Platform is just such a platform designed to run Spring applications most efficiently and deliver the modern application experience. An essential component of this platform is vFabric GemFire. vFabric GemFire in-memory distributed data management brings data to applications with low latency, high reliability and linear, dynamic scalability. We are pleased to announce vFabric GemFire version 6.5…

The first release candidate of the Gemini Web project is available for download. See the bug list for what's changed since milestone 4. Thanks to Violeta Georgieva of SAP for her continued contributions.

The project is due for an Eclipse review on 20 October so that it can graduate from incubation and ship a 1.1.0 release by the end of October. The Virgo project, which depends on Gemini Web, should also graduate and ship its 2.1.0 release concurrently with Gemini Web.

Based on your overwhelming requests for more Spring Integration samples and more usable structure we are pleased to make the following announcement:

Starting with the current release of Spring Integration the samples will no longer be included with Spring Integration distribution. Instead we've switched to a much simpler collaborative model that should promote better community participation and community contributions. Samples now have a dedicated Git SCM repository and a dedicated JIRA Issue Tracking system. Sample development will also have its own lifecycle which is not dependent on the…

RabbitMQ is a powerful messaging broker based on the Advanced Message Queueing Protocol (AMQP). In an earlier post, we looked into building a Python stock ticker program. We compared using RabbitMQ's pika with py-amqplib, and how it was easy to transition from one to the other with minimal changes.

In this article, we'll show how pika can easily be used by Spring Python. Spring Python is an implementation of the concepts of Spring with the language of Python. It includes many features such as dependency injection. If we choose to build a Spring-like application in Python, it is easy to utilize…