InfoQ Homepage Scala Content on InfoQ
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Becoming an Advanced Groovy Developer
Tom Henricksen covers Design Patterns in Groovy, compilation configuration, mixing Java and Groovy, and calling other languages from Groovy. He shows how to call Scala and Clojure from Groovy.
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Concurrency Options on the JVM
Jessica Kerr covers some of the concurrency tools existing in JVM languages including ExecutorService, Futures, Akka actors, and core.async coroutines, providing advice on writing deadlock-free code.
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Typesafe Scala, Typelevel Scala – What’s Going On, Anyway?
The panelists discuss the Scala compiler fork (typelevel.org): Is this a positive and natural outgrowth of a growing language or will this development cause irreparable rifts in the Scala community?
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Scala in the Enterprise
Peter Pilgrim presents the experience of adopting Scala in the digital enterprise. He provides technical and development advice to agile teams new to implementing Scala.
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Building Event-Driven Microservices with Scala, Functional Domain Models and Spring Boot
Chris Richardson discusses an event-driven microservice architecture, it’s benefits and drawbacks and how Spring Boot can help, implementing business logic using domain models written in Scala.
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A Taste of Random Decision Forests on Apache Spark
Sean Owen introduces Spark, Scala and random decision forests, and demonstrates the process of analyzing a real-world data set with them.
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Comparing Elasticity of Reactive Frameworks
Elasticity is a key component in reactive systems and James Ward navigates the different characteristics of different implementations of this concept: Akka, Scala, RxJava, and more.
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Phosphor: Illuminating Dynamic Data Flow in Commodity JVMs
Jonathan Bell & Gail Kaiser introduce Phosphor, a dynamic taint tracking system for the JVM, describing the approach used to achieve portable taint tracking.
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Functional Systems @ Twitter
Marius Eriksen explains Twitter's experiences with functional programming (with Scala) @ Twitter: where functional techniques worked and where not. Also: how the Scala language has scaled with Twitter
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Why Spark Is the Next Top (Compute) Model
Dean Wampler argues that Spark/Scala is a better data processing engine than MapReduce/Java because tools inspired by mathematics, such as FP, are ideal tools for working with data.
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Reactive APIs in Spray, Akka and Scala
Jan Machacek demos creating and using reactive APIs in Scala with Spray and Akka.
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Refactoring in Java, Scala, and Clojure
Glen Peterson uses the Expression Problem to compare refactoring in Java, Scala and Clojure, showing how traits minimize changes in Scala when an interface changes and how Clojure avoids some issues.