Migrating from WLS, WAS, JBoss to Pivotal tc Server

Source: https://www.youtube.com/watch?v=qfV4Bl80dJo

Zero to Stream processing in 7 minutes with Spring XD

Creating a stream of live twitter data for an analytics dashboard using Spring XD, a JavaScript D3 component / Spring XD's REST API.




Source: https://www.youtube.com/watch?v=nOfzrQ6CdKI

Virtualizing and Tuning Large Scale Java Platforms

The session will cover various GC tuning techniques, in particular focus on tuning large scale JVM deployments. Come to this session to learn about GC tuning recipe that can give you the best configuration for latency sensitive applications. While predominantly most enterprise class Java workloads can fit into a scaled-out set of JVM instances of less than 4GB JVM heap, there are workloads in the in memory database space that require fairly large JVMs.

In this session we take a deep dive into the issues and the optimal tuning configurations for tuning large JVMs in the range of 4GB to 128GB. In this session the GC tuning recipe shared is a refinement from 15 years of GC engagements and an adaptation in recent years for tuning some of the largest JVMs in the industry using plain HotSpot and CMS GC policy. You should be able to walk away with the ability to commence a decent GC tuning exercise on your own. The session does summarize the techniques and the necessary JVM options needed to accomplish this task. Naturally when tuning large scale JVM platforms, the underlying hardware tuning cannot be ignored, hence the session will take detour from the traditional GC tuning talks out there and dive into how you optimally size a platform for enhanced memory consumption. Lastly, the session will also cover Pivotal App Fabric reference architecture where a comprehensive performance study was done.



Source: https://www.youtube.com/watch?v=htxkAMiAD58

Spring Framework for IntelliJ IDEA13

Why I Like Spring

A short series of developer interviews with both conference attendees and presenters alike, on their experiences with Spring.

Building Your Java Configuration Muscle Memory

An Introduction to Spring Data

The Spring Data project is an umbrella project that provides a familiar and consistent Spring-based programming model for a wide range of data access technologies. Motivated by the rise of new NoSQL databases and Big Data solutions, there is support for Redis, MongoDB, HBase, Neo4j, Gemfire, Hadoop and Splunk. There is also a "refresh" of Spring's traditional support for JDBC and JPA. In this session, we will provide a guided tour of the Spring Data feature set, showing how you can quickly increase your productivity when creating applications that use these new data access technologies. Use cases unique to each technology will be discussed and demonstrated as well as where Spring Data provides some level of portability between different databases.



Source : http://www.youtube.com/watch?v=jIae_pcG-9M

Webinar: Building WebSocket Browser Applications with Spring

At the end of this tutorial, you would understand how to build a WebSocket Browser Application using Spring.

Functional Programming without Lambdas

Explains about real-world experiences with functional frameworks such as LamdaJ, Functional Java and Guava. What should you consider before adopting them? How do they compare against one another? If you are stuck with a legacy Java version and want to be prepared for the functional future of Java 8, make sure to attend this session.

Lessons Learned Moving from GWT to Spring MVC

Building REST-ful services with Spring

Provisioning a Multi-Site In-Memory Database

Java EE Services for Spring Applications

Spring Integration in the Wild

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