What is Recognized by Akka Framework?
Akka’s approach to handling concurrency is founded on the Actor Model system and here, everything happens to be an actor as everything emerges as an object in the object-oriented designs. Actor Model was particularly designed as well as architected for serving in the form of a concurrent model but the object-oriented model is different from this.
The main difference is in the Scala actor system, the actors do interact as well as share information minus any assumption of sequentiality. The process through which actors do share information with others and do the job of one another is recognized as message passing.
Akka does create a layer between the underlying system and actors so that actors require to process messages simply. Every complexity of creating plus scheduling threads, handling race conditions, synchronizing, and receiving and posting messages is consigned to the framework for handling transparently.
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Why Would You Use Akka?
With the help of Akka, developers get a unified method of developing fault-tolerant and scalable software which becomes capable of scaling up on multicore methods and scaling out in distributed computed surroundings that mean to say “in the cloud.” Actually, with Akka, it becomes possible to form software systems with high performance and reliability minus sacrificing productivity and developer joy.
So, Akka happens to be an open-source middleware to build distributed, fault-tolerant, and concurrent systems on JVM. Akka is recognized as the concept of actors that proposes an appropriate model to think regarding scalable and highly concurrent systems. To write concurrent systems through the use of the traditional low-level mechanism, like threads and locks is pretty difficult and the resulting software tends to be hard for maintaining and understanding.
Hence, the Actor model delivers a higher level substitute which is much easier for reasoning about. Again, actors also propose location transparency because the users of the Actor remain unconscious of whether or not the Actor does live in a different machine or the same process.
It makes simple to write software which can scale with the application’s requirements besides giving the runtime the liberty to propose services, such as cluster rebalancing, partitioning, replication, and adaptive load balancing.
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