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  • Swift Experimentally Introduces Support for Distributed Actors

    The new Swift Distributed Actors package provides a glimpse into what the future distributed actor language feature could look like in Swift.

  • Dapr Aims to Simplify the Creation of Resilient and Portable Microservices

    Microsoft Dapr is an open-source, event-driven framework aimed to build resilient and portable microservices for Cloud and Edge applications. Dapr encapsulates the best practices for building microservices, Microsoft says, and allows developers to focus on the business logic of their application.

  • Designing Reactive Systems Using DDD, Event Storming and Actors

    Domain-driven design (DDD) is often used for finding boundaries (bounded contexts) around microservices. But everything in domain-driven design (DDD) is not good for microservice, Lutz Huehnken claimed in a presentation at microxchg 2018 in Berlin where he discussed how DDD, Event Storming and the Akka-based Lagom framework can be used to build reactive systems.

  • Using the Actor-model Language Pony for FinTech

    During his opening Keynote at QCon London on Monday morning Adrian Colyer mentioned the Pony Language as being "really fascinating stuff." We were fortunate enough to have the designer of the language, Sylvan Clebsch, giving a talk on the native languages track on the Wednesday. Clebsch suggested that Pony is a natural fit for FinTech systems.

  • .NET Actor Model Implementations Differ in Approach

    Last week Vaughn Vernon published Dotsero, a .NET actor model toolkit that follows the Akka API and earlier this year a preview of the Orleans framework based on the Actor model was released by Microsoft Research. In a recent twitter discussion Vaughn and Sergey Bykov, lead of the Orleans project at Microsoft Research, discussed the different approaches taken in Orleans and Dotsero.

  • Reactive Streams with Akka Streams

    Typesafe has announced the early preview of Akka Streams, an open source implementation of the Reactive Streams draft specification using an Actor-based implementation. Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure on the JVM. Back pressure in needed to make sure the data producer doesn't overwhelm the data consumer.

  • Akka Actors vs. Java EJBs from a High-Level Concurrency Perspective

    There are both commonalities and some differences when comparing architectural principles and coding styles in Akka Actors and Java EE 7 Enterprise JavaBeans, specifically stateless session beans and JMS message-driven beans, Dr Gerald Loeffler concludes in a recent introductory talk when explaining and comparing the three approaches from a high-level concurrency view.

  • Vaughn Vernon: Reactive Domain-Driven Design

    Vaughn Vernon, author of Implementing Domain-Driven Design, recently talked about using Scala and the Actor Model implementation Akka together with Doman-Driven Design as a means to remove some of the architecture overhead typically found in event-driven or hexagonal architectures.

  • Actors Made Easy with C# and TPL DataFlow

    For some design problems actors can make all the difference. An Actor is an independent entity that can respond to and send messages. In a way it is like its own little program running inside another process. But building actors in languages that don’t natively support them can be difficult, but Johan Olsson found a way to simplify the process using TPL DataFlow.

  • MapReduce with ActorFx

    A new preview of ActorFx has been released with support for MapReduce-type algorithms.

  • Introducing ActorFx, a Cloud Based Actor Runtime

    Developed by MS Open Tech, a subsidiary of Microsoft, ActorFx intends to offer a “non-prescriptive, language-independent model of dynamic distributed objects.”

  • Dempsy – a New Real-time Framework for Processing BigData

    A new open source project – Dempsy adds one more option for people trying to do real time processing of big data. Comparable to Storm and S4 Dempsy is most applicable to near real time stream processing where latency is more important than guaranteed delivery.

  • Akka 1.1 Released, Brings Many Improvements to Futures and Performance, Reduces Dependencies,

    Akka 1.1 was released with many improvements in performance, Futures and more. The basic Akka also has no dependencies except for Scala 2.9. InfoQ caught up with Jonas Bonér to talk about the current state and the future of Akka.

  • Akka Reaches 1.0 Status: Brings the Actor Model to Java and Scala

    Project lead Jonas Bonér has announced today that Akka has reached its 1.0 milestone. InfoQ spoke to Bonér to find out more about the project.

  • Akka - Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Actors

    Today, the Akka team released version 0.7 of their actors framework for the Java Virtual Machine. Akka attempts to address future concurrency challenges with a solution relying on message based actors, software transactional memory and appropriate fault handling strategies. InfoQ talked to Jonas Bonér about the intent behind Akka, its current state and adoption, and future plans.