Showing posts with label Spring source. Show all posts
Showing posts with label Spring source. Show all posts

Tuesday, October 28, 2014

Architecting for Continuous Delivery: Microservices with Pivotal CF and Spring Cloud

Join Matt Stine to hear how you can architect systems that are optimized for continuous delivery, allowing you to innovate and deliver value faster and safer. Microservices, Pivotal CF, and Spring Cloud combine to create an operationalized architecture that enables enterprises to continuously deliver value at scale through rapid, iterative development, and to meet the needs of a mobile-first world.


Thursday, April 24, 2014

In-memory data and compute on top of Hadoop

Hadoop gives us dramatic volume scalability at a cheap price. But core Hadoop is designed for sequential access - write once and read many times; making it impossible to use hadoop from a real-time/online application. Add a distributed in-memory tier in front and you could get the best of two worlds - very high speed, concurrency and the ability to scale to very large volume. We present the seamless integration of in-memory data grids with hadoop to achieve interesting new design patterns - ingesting raw or processed data into hadoop, random read-writes on operational data in memory or massive historical data in Hadoop with O(1) lookup times, zero ETL Map-reduce processing, enabling deep-scale SQL processing on data in Hadoop or the ability to easily output analytic models from hadoop into memory. We introduce and present the ideas and code samples through Pivotal in-memory real-time and the Hadoop platform.

Multi Environment Spring Applications

It'd be nice to assume everything remains the same from one environment to another, but the realities of today's deployment targets (clouds, app servers, etc.) make this difficult. An application may target one in-memory database in development and target a traditional database in production. A/B testing is a common practice that lets you incrementally expose potentially high risk features. Feature switches can be invaluable; should something go wrong, you can revert to a known state. All of these use cases, and more, can be handled using the Spring framework.

Join JavaOne Rock Star and Java Champion Kevin Nilson and Spring Developer Advocate Josh Long for a look at how you can run your application in differing environments using the Spring Framework.

Sunday, October 27, 2013

What's new in Spring MVC 3.2

This presentation will focus on what's new specifically in the area of Spring MVC. The presentation will explain all noteworthy features and, as is usual with every new release, there will be a lot to discuss including Servlet-based async request support, content negotiation enhancements, REST error handling, @MVC test support, and much more.



Source : http://www.youtube.com/watch?v=GSsWMLiKF-M

Monday, May 6, 2013

Provisioning a Multi-Site In-Memory Database

Building for Performance with Spring Integration & Spring Batch

Hadoop, Pivotal HD and Spring for Apache Hadoop

Batch Processing and Integration on Cloud Foundry

Implementing Domain-Driven Design with Spring and vFabric

Understanding Java Garbage Collection and what you can do about it

Cloud Foundry Architecture

Effective Design Patterns in NewSQL

From Spring + Java to Spring + Akka - A Journey of Discovery

What's new with tooling for Spring, Grails and the Cloud

Getting Started with Spring Security 3.1

Extending Spring Integration for Splunk

An Introduction to Spring Data

Multi-Client Development with Spring