On behalf on the Spring Roo team at DISID Corporation, I'm pleased to announce that Spring Roo 2.0.0.M2 has been released!

The main goal of this Spring Roo version was to update code generation to use latest Spring technologies:

• Use Spring IO Platform to manage dependency versions and be able to use latest Spring technologies.
• Update code generation to use the latest Spring framework versions (4.x)
• Update code generation to include Spring Boot on generated projects.
• Remove all generated configuration based on XML files and use Spring Boot auto-configuration.
• Remove Active Record data model in favor of the Repository (Spring Data) based one.
• Generate application architecture based on service layer pattern by default
…

Speakers: Mark Fisher & Mark Pollack, Pivotal The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for microservice stream and batch processing. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone…

Speakers: Mark Fisher & Mark Pollack, Pivotal The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for microservice stream and batch processing. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone…

Speaker: Michael Minella, Pivotal

One of the major promises of the cloud is that of flexibility. Today, most applications deployed to the cloud are long running processes that use the flexibility of cloud scaling. But computing is full of short lived tasks that start up, do their work, and then terminate. These tasks are excellent cloud use cases since resources can quickly be provisioned - and reclaimed.

In this webinar, we'll explore a new project in the Spring Cloud portfolio, Spring Cloud Task, a new framework for developing and orchestrating short-lived microservices. We'll explore…

Recorded at SpringOne2GX 2015. Speaker: Matt Raible Core Spring track Slides: http://www.slideshare.net/SpringCentral/noxml-eliminating-xml-in-your-spring-projects

Many Spring projects exist that leverage XML for their configuration and bean definitions. Most Java web applications use a web.xml to configure their servlets, filters and listeners. This session shows you how you can eliminate XML by configuring your Spring beans with JavaConfig and annotations. It also shows how you can remove your web.xml and configure your web components with Java.

Recorded at SpringOne2GX 2015. Speaker: John T Davies Big Data track Slides: http://www.slideshare.net/SpringCentral/microservices-to-fastdata-in-the-enterprise-with-spring

How do you deal with massive volumes of data, hundreds of thousands per second? Just chuck it into RAM but what about GC? If we scale to terabytes we need to distribute, what about serialisation costs? How do micro services fit in? In this talk we’ll be using Spring Integration and Spring Boot to ingest gigabytes of complex data into an two different in memory data grids (IMDGs). Based on applications running in…

Recorded at SpringOne2GX 2015. Speaker: Stephane Maldini, Glenn Renfo, David Turanski Big Data track Slides: http://www.slideshare.net/SpringCentral/high-performance-stream-processing-53163754

Making things go fast is harder than it looks. In this talk we dissect a Spring XD application into three areas - message transport, data serialization, and application processing - to show design patterns and techniques that will help you get the highest throughput and lowest resource utilization for your streaming applications. We will compare and contrast in-memory, RabbitMQ, and Kafka transports…

Welcome to another installment of This Week in Spring! As usual, we've got a lot to cover so let's get to it!

• Spring Security lead Rob Winch has just announced Spring LDAP 2.1.0.RC1 has been released! Get the bits and try it out.
• Oracle's amazing Geertjan Wielenga put together an awesome, 100% live demo looking at how to use Spring Boot with NetBeans
• I love Spring Cloud Data Flow! Whether you want a way to describe and compose complex processing streams from simple actor-like components, want to orchestrate stream processing solutions, manage tasks like data at-scale data ingest or otherwise, Spring Cloud Data Flow is probably what you're looking for. Check out this quick look at…

Recorded at SpringOne2GX 2015. Speaker: Stephane Maldini, Rossen Stoyanchev Web / Javascript track Slides: http://www.slideshare.net/SpringCentral/reactive-web-applications-53170985 In our previous talk "Intro to Reactive Programming" we defined reactive programming and provided details around key initiatives such as Reactive Streams and ReactiveX. In this talk we'll focus on where we are today with building reactive web applications. We'll take a look at the choice of runtimes, how Reactive Streams may be applied to network I/O, and what the programming model may look like. While this is…