Manuel Bernhardt shares his journey to 10,000 nodes and beyond, and what it took to get the protocol to scale on AWS EC2 t3.micro instances. Take a tour of Akka Cluster’s membership layer and see how Rapid works and what lessons he learned along the way.
Manuel Bernhardt continues his series about Akka Typed, the new Akka Actor API that brings significant advantages over the classic one. In his sixth entry, take a dive into the Cluster Singleton feature of Akka Cluster and cluster aware routers. The Cluster Singleton feature of Akka Cluster takes care of managing the deployment of an actor in the cluster so that there’s only one instance active at all times.
Manuel Bernhardt continues his series about Akka Typed, the new Akka Actor API that brings significant advantages over the classic one. In his fifth entry, he takes a loser look at cluster sharding and how to best take advantage of it. In Akka Cluster Sharding, the actors to be sharded are referred to as sharded entities.
Manuel Bernhardt continues his series about Akka Typed, the new Akka Actor API that brings significant advantages over the classic one. In his fourth entry, he takes a closer look at one of the most popular use-cases for Akka: event sourcing.
Manuel Bernhardt is back for part three of his series about Akka Typed, the new Akka Actor API that brings significant advantages over the classic one. In his third entry, he looks at one of the core concepts of actor systems: supervision and failure recovery.
Manuel Bernhardt continues his series about Akka Typed, the new Akka Actor API that brings significant advantages over the classic one. This second entry goes further down the route of building typed actor systems by looking at fundamental concepts necessary for the interaction between actors.
Manuel Bernhardt starts a new series about Akka Typed, the new Akka Actor API that brings significant advantages over the classic one. This first entry gets started by easing into the topic to show us a little bit of what it’s capable of. He talks about how to build a payment processor making the most of Akka Typed.
Manuel Bernhardt’s Akka anti-patterns series continues. This time, he takes a closer look at a very frequent anti-pattern that can be found in codebases written by developers who have just discovered the actor model; and that is to have too many actors. Whilst Akka is entirely capable and designed to run many actors, this isn’t always the best approach.
The Akka documentation discourages the use of Java serialization but performance is just one reason to not use Java serialization – there are stronger reasons to not engage with it, especially in the context of Akka. What to do instead? In this article, Manuel Bernhardt gives some alternatives.
What is the importance of actors and why stateless actors make little sense? In this article, Manuel Bernhardt briefly explains the main purpose of actors and their state.
In such a vast and rich ecosystem such as Scala’s, it is often difficult to decide what is the best library or build tool choice for a certain project. Here, Manuel Bernhardt gives a quick tour of build tools in Scala in order to help you pick the right tool for your project.
The tour of Akka cluster continues! In the previous article, we learned how to use techniques for making a reactive payment processor resilient to failure using Akka Cluster. Here, Manuel Bernhardt takes a closer look at how to scale out the reactive payment processor application using cluster sharding.
Do you want to build a more stable system that’s able to cope with individual node crashes? Join Manuel Bernhardt in this tutorial as he shows us techniques for making a reactive payment processor resilient to failure using Akka Cluster.
How can we make building distributed systems easier? In this article, Manuel Bernhardt explores one useful tool in the Akka toolbox: Akka Cluster. Today, we’re taking a closer look at one module, Akka Distributed Data, and how it can be used to build an example reactive payment processor.
