InfoQ Homepage Reactive Programming Content on InfoQ
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Neha Narkhede: Large-Scale Stream Processing with Apache Kafka
In her presentation "Large-Scale Stream Processing with Apache Kafka" at QCon New York 2016, Neha Narkhede introduces Kafka Streams, a new feature of Kafka for processing streaming data. According to Narkhede stream processing has become popular because unbounded datasets can be found in many places. It is no longer a niche problem like, for example, machine learning.
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Typesafe Changes Name to Lightbend
The company formerly known as Typesafe, inventors of the Scala programming language, has completed their renaming and is now known as Lightbend. Typesafe announced their plans to rename last May, stating at that time that it was expected to be a two month process. They invited community members to participate, and provided blog updates about their progress.
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Lagom, a New Microservices Framework
Lightbend, the company behind Akka, has released an open source microservices framework, Lagom, built on their Reactive Platform; in particular, the Play Framework and the Akka family of products are used together with ConductR for deployment. By default, Lagom is message-driven and asynchronous, and uses distributed CQRS persistence patterns with event sourcing as the primary implementation.
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RxSwift Brings Native Reactive Functional Programming to Swift
RxSwift project aims to port Rx programming model to Swift, including as many of its abstractions as possible. InfoQ has spoken with Krunoslav Zaher, maintainer of the project.
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Erik Meijer’s Hacker’s Way
At GoTo 2015, Erik Meijer, computer scientist whose name is linked to functional programming and reactive asynchronous programming, recounted the last couple of years in his life, including his cancer diagnosis and how it changed his way of looking at life, and shared his view on the Hacker’s Way.
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JavaOne 2015 Preview
In preparation for JavaOne 2015, InfoQ held a Q&A session with a number of speakers at this year's conference that caught our eye.
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Introducing Reactive Streams
Modern software increasingly operates on data in near real-time. There is business value in sub-second responses to changing information and stream processing is one way to help turn data into knowledge as fast as possible, Kevin Webber explains in an introduction to Reactive Streams.
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JavaScript Streams Introduced at Strange Loop
At the Strange Loop 2015 conference, Pam Selle introduced streams in JavaScript, showing what they're good for and how developers can use them.
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Play 2.4 Moves to Dependency Injection and Java 8
Typesafe's Play team has released version 2.4 "Damiya" of their web framework. By embracing dependency injection, the refactoring towards better modularization that was started in 2.3 has continued in this release. Play 2.4 requires Java 8 and uses Lambdas and Default Methods in Play's Java-API.
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Reactive Streams Releases First Stable Version for JVM
After more than a year on the drawing board, Reactive Streams has released version 1.0 of their API for several different platforms, Java among them. This library provides a common framework to standardise reactive patterns.
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Slick 3: Reactive Streams for Asynchronous Database Access in Scala
Slick, Typesafe's database query and access library for Scala, now supports the Reactive Streams API in the just released version 3.0. This enables developers to query their databases asynchronously and non-blocking. InfoQ talked to Slich Tech-Lead Stefan Zeiger to learn more about the new features and what they've planned for the future.
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Martin Thompson Discusses the Reactive Manifesto 2.0
The second version of the Reactive Manifesto was announced at September's GOTO conference in Aarhus. Martin Thompson discusses the need for a revised version of the Manifesto and what its changes mean for the burgeoning reactive community.
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TypeSafe's Kevin Webber: Actor-based Concurrency for Reactive Systems
In a recent article on Medium, TypeSafe's Kevin Webber argues that reactive programming "isn’t just another trend but rather the paradigm for modern software developers to learn" since it helps them to build systems that are responsive, resilient, and scalable. He also suggests that actor-based concurrency is the most convenient foundations for a reactive system.