Cliff Click introduces a coding style & API for in-memory analytics that handles datasets from 1K to 1TB without changing a line of code and clusters with TB of RAM and hundreds of CPUs.
Ramnivas Laddad and Arjen Poutsma discuss the Spring Scala project and its features, demoing a real REST-based application with a Spring and Scala backend and AngularJS frontend.
Juergen Hoeller outlines several Java 8 features within Spring's programming model and explores the impact on application architectures.
Andrey Cheptsov explores some of the IntelliJ IDEA’s tricky features helping Groovy&Grails developers to be more productive.
Bobby Warner discusses the features available in Grails 2.3 to build RESTful APIs.
Mridula Jayaraman shares from her experience developing a next generation sequencing solution used to customize cancer treatment based on patient's genetic makeup.
Gil Tene examines the core issues that have historically kept Java environments from performing well in low latency environments and how it can perform now without trade-offs and compromises.
Jessica Kerr introduces a different way of thinking about I/O, delaying all side-effects to the end, illustrating manipulating code as data, and at the same time letting data influence the code.
Greg Turnquist demoes using Spring Mail, Security, REST, GridFS, Bootstrap and jQuery in a production grade Grails application.
Ken Kousen presents advanced Groovy features, such as closure coercion, mixins, simple runtime metaprogramming, operator overloading, drop and take, overlooked methods in the Groovy JDK, and more.
Todd Montgomery proposes a new approach to marshalling in Java using FIX/SBE, new marshalling API approaches, and the extensive application of mechanical sympathy to this problem domain.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
Featured Blog Posts
The term “Big Data” is quite possibly one of the most difficult IT-related terms to pin down ever. There are so many potential types of, and applications for Big Data that it can be a bit daunting to consider all of the possibilities ... Read More.
The biggest difference between cloud-based applications and the applications running in your data center is scalability. The cloud offers scalability on demand, allowing you to expand and contract your application as load fluctuates ... Read More.
In the last post I covered several architectural techniques you can use to build a highly scalable, failure resistant application in the cloud. However, these architectural changes – along with the inherent unreliability of the cloud ... Read More.
White Papers and Assets
|QCon SF||Nov 3-5|
|AppSphere 2014||Nov 3-5|