Sven Efftinge talks with Alex Blewitt at EclipseCon 2013 in Boston about Xtend, a Java-compatible language which, and Xtext, a general DSL and IDE editor framework. Read on to find out more.
Jim Hirschauer describes the application monitoring tool landscape, KPIs and metrics to consider when monitoring, and compares monitoring traditional vs. cloud-based applications. He talks about performance considerations when instrumenting code, how organizations can be 'Smarter' about their Big Data, and looks at what's new in AppDynamics 3.7.
Gil Tene talks about how to achieve low latency and responsiveness in Java applications despite the GC, how the GC in Azul's Zing helps, where low latency is crucial, and much more.
Gil Tene talks to Charles Humble about different garbage collection techniques, and specific collectors including Azul's C4, IBM's Balanced GC, and Oracle's Garbage First, before moving on to discuss both the JCP and OpenJDK.
In this interview Joe Armstrong and Robert Virding, co-inventors of the Erlang language, talk about the future of the language, including its use in web programming, its ability to scale and more. The duo also discuss Erlang support for NoSQL databases, running the language on the Java Virtual Machine (JVM) and comparisons with other languages such as Google’s Go.
Nick Kallen from Twitter is interviewed by Randy Shoup about Twitter’s use of the Scala programming language. Nick discusses using Scala to build high-performance and scalable network services (including FlockDB), the powerful dualism of Scala which combines the best of object-oriented and functional approaches and also provides his views on the tradeoffs between static and dynamic languages.
Cliff Click discusses the Pauseless GC algorithm and how Azul's Zing implements it on plain x86 CPUs. Also: what keeps dynamic languages slow on the JVM, invokedynamic, concurrency and much more.
Venkat Subramaniam talks about the characteristics of JVM languages like Groovy, JRuby and Scala, and their applicability in enterprise applications. He also mentions several implementation details and finishes by addressing issues of lifelong learning for developers.
In this interview Martin Odersky, the creator of the Scala language talks about work on the next version of Scala and how the functionalities in the JVM help make Scala better. Odersky touches on how some of the most popular entities on the web, such as Twitter and LinkedIn use Scala. And he discusses the complexity of the language and its role as a functional and object-oriented language.
In this interview Gil Tene dives deep into the history of Azul Systems and its commitment to deliver robust, scalable Java systems. He tells of the origins of the company and its early Vega hardware. Tene also talk about the new Zing elastic runtime platform for Java apps. And he speaks on the Managed Runtime Initiative Azul launched. He also talks on Pauseless GC and elastic memory.
In this interview, Google’s Josh Bloch shares his views on the open-source Java landscape as well as on the future of the Java language, including changes being implemented via Project Coin. Bloch also discusses support for multi-core in programming languages, support for multiple languages on the JVM, Java pain points and the “next big language.”
In this interview Google tools honcho from Brad Abrams talks about how Google tools integrate with Spring tools to help make Java developers’ lives easier. Abrams discusses Google’s reasons for targeting the popular Spring Framework. He also delves into the integrations between Google App Engine, Google Web Toolkit (GWT) and Speed Tracer with Spring tools such as Roo, STS, Spring Insight and more.
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