Ashley Puls explains what happens to bytecode inside the JVM. It begins with an overview of the Just In Time (JIT) compiler and discusses JIT optimizations such as method inlining and loop unrolling.
Joseph Paulchell discusses the journey from batch-oriented processes using databases to a real-time data streaming solution and the significant benefits achieved as well as the challenges encountered.
Monish Unni discusses how E*Trade’s disparate services are stitched together using RabbitMQ (AMQP protocol) and Spring Proxies to form the enablement tier to provide data to Zipkin.
Sébastien Deleuze introduces Script Templating in Spring and shows how to build an isomorphic application using Spring Boot, Nashorn and React to render templates both on client and server.
Petar Tahchiev demos a typical e-commerce project with the Nemesis platform, listing the problems faced and the Spring projects used: Data, Session, Cloud, Boot, MVC, Security, etc.
The authors discuss how Spring for Apache Hadoop can make developing workflows with Map Reduce, Spark, Hive and Pig jobs easier, and using Spring Cloud to build distributed apps for YARN.
Rossen Stoyanchev offers an overview of new features for web applications in Spring Framework 4.2: HTTP streaming, Server-sent events, cross-origin requests, HTTP caching, and WebSocket updates.
Gary Russell discusses how Spring Integration and Spring AMQP are used as two of the underlying technologies in Spring XD.
Mark Fisher and Patrick Peralta provide an overview of the Spring Cloud Data Flow architecture – including how it evolved out of Spring XD, deploying a streaming application in a live demo.
Artem Bilan talks about using the Spring Integration Java DSL fluent API add integration capabilities to an application using only Spring Java configuration, and the benefits of Java 8 Lambda support.
Rob Winch discusses how to rapidly and correctly apply Spring Security to an existing application. Rob demos security exploits and shows how to mitigate them, answers frequently asked questions.
Ilayaperumal Gopinathan and Ludwine Probst discuss Spark and its ecosystem, in particular Spark Streaming and MLlib, providing a concrete example, and showing how to use Spark with Spring XD.