Mark Pollack and Stephen Bohlen discuss Spring.NET, comparing it with Spring for Java, explaining how Java-.NET interoperability works, what tools are available and .NET features such as LINQ and MVC.
Jeremy Grelle explains how to combine Spring with Flex in order to create RIA applications using BlazeDS, LiveCycle Data Services, Spring BlazeDS Integration and Flex Addon for Spring Roo.
Hamlet D`Arcy demonstrates some of the Groovy tools useful to increase productivity by generating code at compile time: Project Lombok and AST Transforms.
David Syer and Mark Fisher on using Spring to develop concurrent and distributed apps, covering topics such as: asynchronous execution, intra-process, inter-process and inter-JVM communication.
Mark Pollack and Chris Richardson discuss NoSQL, exemplifying with Redis, Cassandra and MongoDB, and Spring Data, a project meant to provide a unified programming model for accessing NoSQL DBs.
Keith Donald presents the Spring MVC3 programming model, detailing with examples: mapping HTTP requests, binding requests/responses, rendering views, using data, handling exceptions and testing.
Peter Bell explains DSLs, how to approach writing one, and especially how to evolve one over time using "fixing the API", "backwards compatibility", "versioning" and "automated evolution/checking”.
Craig Walls discusses social web applications, how to integrate them, how to provide social data in a RESTful and secure way, introducing Spring Social, a framework for developing social web apps.
Paul King and Guillaume Laforge present Groovy’s capabilities to build DSLs through several concrete examples meant to highlight the language’s good support for creating internal DSLs.
Mark Thomas reviews some of the new features available in Apache Tomcat 7, including: Servlet 3.0, JSP 2.2, EL 2.2, asynchronous request processing, memory leak protection, and security improvements.
Chris Beams discusses configuration enhancements coming in Spring 3.1: unified property management, bean definition profiles, nested
Burt Beckwith discusses potential performance problems using mapped collections and Hibernate 2nd-level cache in GORM, along with strategies for avoiding such performance penalties.