Akka

Comparison between different streaming engines

akka-streams, Apache Flink, Apache Kafka, Apache Spark, Big Data and Fast Data, Scala, Spark, , , , , , ,

Reading Time: 5 minutes Distributed stream processing engines have been on the rise in the last few years, first Hadoop became popular as a batch processing engine, then focus shifted towards stream processing engines. Stream processing engines can make the job of processing data that comes in via a stream easier than ever before and by using clustering can enable processing data in larger sets in a timely manner. Continue Reading

Alpakka : Creating Data Pipelines

Akka, akka-streams, Big Data and Fast Data, Scala, Tech Blogs, , , , , , , , , ,

Reading Time: 4 minutes In my previous blogs I discussed about akka-streams , materialization and graphs in akka-stream . It was so easy to create sources, sinks and flows and connect them using methods and create runnable graphs. Now consider a situation where I’m getting data from Kafka and want to push it in Cassandra or Elasticsearch ? How to create such source or flow or sink that can Continue Reading

Achieving Concurrency with Akka Actors

Scala, , ,

Reading Time: 3 minutes Java comes with a built-in multi-threading model based on shared data and locks. To use this model, you decide what data will be shared by multiple threads and mark as “synchronized” sections of the code that access the shared data. It also provides a locking mechanism to ensure that only one thread can access the shared data at a time. Lock operations remove possibilities for Continue Reading

Akka-Streams: All About Materialization!

Akka, akka-streams, Big Data and Fast Data, Scala, , , ,

Reading Time: 4 minutes In my previous blog, I discussed about the basics of akka-stream. Basically, it was an introduction to akka-stream to get you started. There I mentioned about materialization which is a really important concept in Akka-Streams. And in this blog I’m going to discuss about it and some related topics in detail. So, let’s begin ! Akka-Streams Basics Let’s revisit the basics first. So, the data Continue Reading

Getting Started with Akka-Streams

Akka, akka-streams, Big Data and Fast Data, Scala, , , ,

Reading Time: 4 minutes As the world is growing, so is the data. And analysis of this data has become important. But how will you do it? How will you work with the data whose size is unknown to you? A solution to this scenario is Akka-Streams and here I’m going to discuss it. In this blog you will get to know the basics of Akka-Streams just to get Continue Reading

Backpressure in Akka Streams

Scala, , , , , ,

Reading Time: 4 minutes “Reactive Streams”, whenever we come across these words, there are two things that come to our mind. The first is asynchronous stream processing and the second is non-blocking backpressure. In this blog, we are going to learn about the latter part. Understanding back pressure According to the English dictionary, back pressure means “Resistance or force opposing the desired flow of fluid through pipes”. To define Continue Reading

Scale Out with Cluster Sharding

Akka, cluster, Scala, Tech Blogs, , , ,

Reading Time: 3 minutes If your actors are distributed across several nodes in the cluster, Cluster Sharding allows you to interact with them without worrying about their physical location and using only their logical identifier. Even if an actor re-locates to a new node, Akka will take care of locating it for you. You just need to send a message to it as if it is located on your local node.

Understanding data persistence in Lagom

Akka, Cassandra, CQRS, github, Lagom, Microservices, Scala, , , , , , ,

Reading Time: 4 minutes When we create any microservice, or in general any service, one of the biggest task is to manage data persistence. Lagom supports various databases for doing this task. By default, Lagom uses Cassandra to persist data.

Akka Dispatcher- All that you need to know

Scala, , ,

Reading Time: 4 minutes Pre-requisite knowledge: Basics of Akka and Actor System. Fun fact: Did you know that ActorSystem has a heart? Well yes, the ActorSystem is considered to have a heart and it is the “Dispatchers”. We will see how, in this blog. In the real world, dispatchers are the communication coordinators responsible for receiving and passing messages. For example, in emergency services like 911, the dispatchers are Continue Reading

Getting Started with Akka Remoting

Akka, Scala, ,

Reading Time: 2 minutes 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

Lagom Persistence API with Couchbase

Akka, couchbase, Database, Lagom, Microservices, , ,

Reading Time: 4 minutes 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

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