We have adopted a Contributor Code of Conduct!

News | Chelsea Troy | February 10, 2016 | ...

We have an exciting announcement to make!

The Spring projects are about developing fast, flexible Java apps.

But there's a driving force behind the technology—its people. We open-source our projects to welcome our community into making Spring the best it can be.

Now we are taking another step in that direction. Each of the active Spring projects has adopted a Contributor Code of Conduct! You can look at the contributor code of conduct right here, and you'll find a copy in each of our repositories on Github.

We want people from minority groups in tech to feel welcome to contribute to Spring…

SpringOne2GX 2015 replay: IoT Realized - The Connected Car v2

News | Pieter Humphrey | February 09, 2016 | ...

Recorded at SpringOne2GX Presenters: Phil Berman, Michael Minella & Derrick Shields Big Data Track Slides: http://www.slideshare.net/SpringCentral/iot-realized-the-connected-car-53122510

For this session we will explore the power of Spring XD in the context of the Internet of Things (IoT). We will look at a solution developed with Spring XD to stream real time analytics from a moving car using open standards. Ingestion of the real time data (location, speed, engine diagnostics, etc) into HDFS, analyzing it to provide highly accurate MPG and vehicle range prediction, as well as providing…

SpringOne2GX 2015 replay: Spring Data REST - Data Meets Hypermedia + Security

News | Pieter Humphrey | February 09, 2016 | ...

Recorded at SpringOne2GX 2015 Presenters: Greg Turnquist & Roy Clarkson Data / Integration Track Slides: http://www.slideshare.net/SpringCentral/spring-data-rest-data-meets-hypermedia-security

Check out Spring Data REST, a library than can rapidly bridge your data access layer to a RESTful interface using hypermedia. See how you can build the backend for your startup rapidly using top notch practices. We will then look at Spring-A-Gram, a sample application built with Spring Data REST and secured by Spring Security. Snap pictures from your laptop or smartphone and upload them to the server…

SpringOne2GX 2015 replay: HTTP/2 for the Web developer

News | Pieter Humphrey | February 09, 2016 | ...

Recorded at SpringOne2GX 2015 Presenter: Brian Clozel Web / Javascript Track Slides: http://www.slideshare.net/SpringCentral/http2-for-the-web-developer

The HTTP/2 spec is here - clients are servers are racing to implement it, while browser support is increasing everyday... The JVM world is already working on it in the Servlet 4.0 and JDK9 specs. But we developers, are still trying to understand the implications of it.

Should we reconsider the way we build JavaScript applications and optimize them for front-end performance? Will our server application have new roles and abilities?

In this…

SpringOne2GX 2015 replay: Spring Boot is made for tooling

News | Pieter Humphrey | February 02, 2016 | ...

Recorded at SpringOne2GX 2015. Presenters:Yann Cébron - JetBrains, Stéphane Nicoll, Pivotal Core Spring Track Slides: no slides all demo

For many years, IntelliJ IDEA has been widely used in projects employing the Spring Framework. The latest version of the IDE (14.1) now ships with dedicated Spring Boot support. In this practical presentation we're going to look at some features from IntelliJ IDEA that will help you not only get started with Spring Boot but also guide you along the way, helping with coding and configuration management for your application. As a bonus, we'll also discover…

SpringOne2GX 2015 replay: Implementing a Highly Scalable Stock Prediction System with R, Apache Geode and Spring XD

News | Pieter Humphrey | February 02, 2016 | ...

Recorded at SpringOne2GX 2015. Presenters: Fred Melo & William Markito Oliveira Big Data Track Slides: http://www.slideshare.net/SpringCentral/implementing-a-highly-scalable-stock-prediction-system-with-r-apache-geode-and-spring-xd

Finance market prediction has always been one of the hottest topics in Data Science and Machine Learning. However, the prediction algorithm is just a small piece of the puzzle. Building a data stream pipeline that is constantly combining the latest price info with high volume historical data is extremely challenging using traditional platforms, requiring a lot of…

SpringOne2GX 2015 replay: Building Highly-Scalable Spring Applications with In-Memory, Distributed Data

News | Pieter Humphrey | February 02, 2016 | ...

Recorded at SpringOne2GX 2015. Speakers: John Blum & Luke Shannon Data/Integration Track Slides: http://www.slideshare.net/SpringCentral/building-highly-scalable-spring-applications-using-inmemory-data-grids-53086251

Building highly scalable, low latency applications while simultaneously preserving consistency, high availability and resiliency requires a new breed of technology. In this presentation we introduce Pivotal GemFire along with the open source offering, Apache Geode. Apache Geode is a proven, distributed, in-memory database with ACID properties that can handle large volumes of…

SpringOne2GX 2015 replay: Introduction to Reactive Programming

News | Pieter Humphrey | February 02, 2016 | ...

Recorded at SpringOne2GX 2015 Presenters: Stephane Maldini & Rossen Stoyanchev Web / Javascript Track Slides: http://www.slideshare.net/SpringCentral/introduction-to-reactive-programming

This is your one stop shop introduction to get oriented to the world of reactive programming. There are lots of such intros out there even manifestos. We hope this is the one where you don't get lost and it makes sense. Get a definition of what "reactive" means and why it matters. Learn about Reactive Streams and Reactive Extensions and the emerging ecosystem around them. Get a sense for what going reactive…

Webinar: Creating a PageRank Analytics Platform Using Spring Boot Microservices

News | Pieter Humphrey | January 18, 2016 | ...

Speaker: Kenny Bastani

This webinar introduces you to a sample application that combines multiple microservices with a graph processing platform to rank communities of users on Twitter. The problem we’re going to solve is how to discover communities of influencers on Twitter using a set of seed profiles as inputs.

To solve this problem without a background in machine learning or social network analytics might be a bit of a stretch, but we’re going to take a stab at it using a little bit of computer science history. We’re going to use a collection of popular tools as a part of this article’s sample application. The tools we’ll use, in the order of importance, will be: Spring Boot Neo4j Apache Spark Docker RabbitMQ While there are some missing pieces, such as securing REST API access, and mapping device volumes to the containers, these kinds of important topics will be covered in future webinars.

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