Die Scala Days sind die ideale Gelegenheit, sich einen Überblick über Neuigkeiten und Trends im Ökosystem der Programmiersprache zu verschaffen. BeCompanys Andreas Hartmann berichtet von seinem Ausflug nach Berlin.
We all know it and we all deal with it: Networks are inherently flaky. However, you don’t want to lose business due to that flakiness because your network is unresponsive. Today we feature a Lightbend White Paper on how to resolve split brain scenarios in just seconds.
Sie sind stark, belastbar und ausfallsicher: Mit Akka bauen wir reaktive Applikationen, die hohe Anforderungen an Skalierbarkeit, Verfügbarkeit und Performanz erfüllen. Was unsere Kunden davon haben, erfahren Sie hier.
In previous posts, we have explained what is the Akka Social Stream project and how to use it. Now we are going to extend the functionality by supporting Facebook page events.
The Akka Social Stream library can be used to aggregate a stream of status updates from multiple social media sources. This article introduces the idea behind the library and explains how to use it in your own project.
If you ever have been asked to query a database as Scala developer you most probably already heard of Slick. Today I'd like to share some of my best practices I learned during the last year working with Slick with five do's and don'ts.
In the previous post Cooking with Akka, we modeled a bar's breakfast service with the help of the Akka toolkit. Now we want to introduce the concept of elasticity from the Reactive Manifesto. For this task we will continue with our analogy.
After the wonderful Cooking with Monads blog article from Andreas Hartmann and in connection with the Reactive Manifesto, we are going to dig a bit deeper into the subject of reactive applications with a simple demo.
As a programmer endeavouring to discover the world of functional programming, you will sooner or later be confronted with the concept of monads. Monads are an incredibly useful construct for dealing with a multitude of software design challenges.
Akka Streams are designed for processing large sets of continous data elements and therefore a natural fit for log processing. In this tutorial we show how to implement a tool for complex log processing tasks.