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

Going Beyond Dependency Injection

Many developers who are learning the Spring Framework think of it as simply another mechanism for centralized dependency injection. While the framework does handle that responsibility quite well, the framework is so much more. In this session, we'll explore some of the building blocks and patterns used by the core framework as well as many of the other Spring projects. The result is that attendees will gain a better understanding of how to use the Spring Framework and learn how to build their own components that can leverage these same patterns. Topics we'll explore: 
- What is the benefit of centralized life-cycle management 
- Programming to interfaces 
- Leveraging the power of proxies 
- Using annotations 
- Understanding the template pattern

Dependency injection is one very important part of what the Spring Framework does. However, it is also a collection of very key patterns that we'll explore.
- Centralized life-cycle management
- Examining the BeanFactoryPostProcessor
- Examining the BeanPostProcessor
- How to write your own BeanPostProcessor
- Programming to interfaces 
- Benefits of programming to interfaces 
- loose coupling 
- Examples of how Spring leverages this mechanism 
- How to leverage in your own Spring applications 
- Leveraging the power of proxies 
- How proxies work in Spring 
- How Spring uses them 
- Writing your own proxy-based solution 
- Using annotations 
- Examples of how Spring uses annotations 
- Using your own annotations 
- Understanding the template pattern 
- Purpose of template pattern 
- How Spring uses templates 
- Creating your own template




Source : https://www.youtube.com/watch?v=JfgP566BHW0

Getting Started with Spring Security 3.2

Spring Security is a framework that focuses on providing both authentication and authorization to Java applications. Like all Spring projects, the real power of Spring 
Security is found in how easily it can be extended to meet custom requirements. In this presentation Rob will incrementally apply the new features found in Spring Security 3.2 to an existing application to demonstrate how it can meet your authentication and authorization needs.




Source: https://www.youtube.com/watch?v=1zu8COg80q4

spring.io inside and out

Spring Integration 4.0 - The New Frontier

With this Spring Integration 4.0 release, the existing basic annotation support has received an overhaul and those who prefer to use java @Configuration classes can now define their applications without needing to use any XML (of course, XML is still supported as well).

In this session we will cover these major changes to the framework, explaining how and when to use them. It will be mainly demonstration and code walk through, and we will build a useful Spring Boot / Integration application from scratch.



Source : https://www.youtube.com/watch?v=g3DgdSqEgzI

Spring Framework 4 on Java 8

Spring has a track record of providing dedicated support for new Java generations in a timely fashion, and now it's right about time to go Java 8: With Spring Framework 4.0, we're providing in-depth support for all relevant OpenJDK 8 features, including lambda expressions, JSR-310 Date and Time, parameter name discovery, and java.util.concurrent enhancements.

This talk will illustrate basic Spring Framework 4.0 concepts, and selected Java 8 features within Spring's programming model, exploring the impact on application architectures.

Building For Speed - Tips and Tricks for Client-Side Performance

As the complexity of web and mobile apps increases, so does the importance of ensuring that your client-side resources load and execute in an optimal and efficient manner. Differences in resource loading techniques can have a dramatic impact on how fast an application feels to your users, and can be the catalyst for whether they have a joyful or frustrating experience. This talk will discuss performance techniques aimed at keeping your users on the joyful end of this user experience spectrum.

We'll take a look at: Pragmatic tools for measuring client-side performance Techniques for optimizing resources and their resulting impact Approaches to maximizing dev-time happiness and production performance Easy incorporation of these techniques into your everyday tool-chain.

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.

Building Smart Clients with Spring

No application is an island and this is more obvious today than ever as applications extend their reach into people's pockets, desktops, tablets, TVs, Blu-ray players and cars. What's a modern developer to do to support these many platforms? In this talk, join Josh Long to learn how Spring can extend your reach through (sometimes Spring Security OAuth-secured) RESTful services exposed through Spring MVC, HTML5 and client-specific rendering thanks to Spring Mobile, and powerful, native support for Android with Spring Android.