Akka cluster provides a fault tolerant decentralized peer to peer cluster membership service with no single point of failure or single point of bottleneck. It does this using gossip protocol and an automatic failure detector.
When we start with Akka we generally start with one actor system on our local machine but when we talk about the business application we can have multiple parts of an application and those part can run on different machine or node. Akka Remoting is a communication module to connect the actor system in peer to peer fashion. It also serves as the foundation for Continue Reading
Hi all, Knoldus has organized a 30 min session on 1st March 2019 at 3:30 PM. The topic was Alpakka – Connecting Kafka and ElasticSearch to Akka Streams. Many people have joined and enjoyed the session. I am going to share the slides here. Please let me know if you have any question related to linked slides or video. The slides of the KnolX are here: And Continue Reading
Consider a situation where a microservice is deployed on multiple pods and on condition one pod got restarted with any of the failure reason makes unreachable and at the same time interdependent services are registers its IP for communication. Now, since other pods of the service are alive but not able to communicate makes the communication failure as well as making the failure of every Continue Reading
In this blog, I will talk about using Couchbase with Lagom’s Persistent Entity API. And then we will see how we can query for fetching the data. We already know that Lagom handles data persistence with ‘Persistent Entity’ which holds the state of individual entities. And to interact with them one must know the identifier of the entity. So Lagom provides the support to build Continue Reading
Akka is a toolkit for designing scalable, resilient systems that span processor cores and networks. Akka allows you to focus on meeting business needs instead of writing low-level code to provide reliable behavior, fault tolerance, and high performance. Akka actor can have state but it’s lost when the actor is shutdown or crashed. Fortunately, we can persist actor state using Akka Persistence which is one of Akka Continue Reading
In this blog, we will discuss what are “map” and “mapAsync” when used in the Akka stream and how to use them. The difference is highlighted in their signatures:- Flow.map takes in a function that returns a type T, while Flow.mapAsync takes in a function that returns a type Future[T]. Let’s take one practical example to understand both:- Problem – Suppose we have a user with a userId and Continue Reading
In the modern digital world, a system which cannot talk to other systems or does not allow other systems to talk to itself is bound to fail. A lot of organizations that we work with be it large banks, healthcare institutions, travel booking and predictions, industrial analysers, would like to expose their ecosystem through an API so that it is available as a platform for other companies and products to consume and innovate on.
Hey folks, in this blog I am going to explain how can you schedule jobs that you want to repeat over a certain period of time with the help of Akka Scheduler. Suppose you have a use-case in which you want some cleaning background process to run a cleanup-repository method to delete records after a fixed interval of time, then look nowhere else because Akka scheduler Continue Reading
In our previous blog, we had a look at what Akka streams are and how they are different from the other streaming mechanisms we have. In this blog, we will be taking a little step forward into the world of Akka Streams. In order to work with Akka streams, we need a mechanism to connect Akka Streams to the existing system components. That is where Alpakka Continue Reading
A few days earlier, in our project, we were using Spark streaming and initially, it worked like a charm. But as we were very close to completion of our use case, the unexpected occurred. Spark does have a lot of interesting features, but we had some more custom needs such as running a ton of varying jobs with different actors/flows. Also, we needed something which Continue Reading
While I was attending ScalaDays Berlin 2018, I experienced many great ideas but the one which intrigued me the most was “Farewell Any => Unit, welcome Akka Typed!” by Heiko Seeberger where he explained about Akka Typed APIs. In this blog I am going to explain what I learned until now about Akka Typed, therefore, I named this blog “Welcome, Akka Typed !!”, so let’s Continue Reading
Akka Streams is a library that is used to process and transform a stream of data. In this blog, I’ll be discussing the components of Akka Streams. Akka Streams is an implementation of Reactive Streams and uses bounded buffer space, and this property is known as boundedness. To use Akka Streams, add the below dependency in your build.sbt: