Book Image

Scala Reactive Programming

By : Rambabu Posa
Book Image

Scala Reactive Programming

By: Rambabu Posa

Overview of this book

Reactive programming is a scalable, fast way to build applications, and one that helps us write code that is concise, clear, and readable. It can be used for many purposes such as GUIs, robotics, music, and others, and is central to many concurrent systems. This book will be your guide to getting started with Reactive programming in Scala. You will begin with the fundamental concepts of Reactive programming and gradually move on to working with asynchronous data streams. You will then start building an application using Akka Actors and extend it using the Play framework. You will also learn about reactive stream specifications, event sourcing techniques, and different methods to integrate Akka Streams into the Play Framework. This book will also take you one step forward by showing you the advantages of the Lagom framework while working with reactive microservices. You will also learn to scale applications using multi-node clusters and test, secure, and deploy your microservices to the cloud. By the end of the book, you will have gained the knowledge to build robust and distributed systems with Scala and Akka.
Table of Contents (16 chapters)

The Active-Passive Replication Pattern

What if some of our Reactive System Components fail to work due to a heavy load, or crash due to some issues? It does not give a good impression to the end users. Nowadays, every system should work normally and should be 100% available all the time, even if our System's critical components fail to work.

How to solve this problem? A proven solution is Replication.

The Replication technique allows us to distribute our Reactive System components into different Replicas across the clusters, so that our system is available all the time and supports fault-tolerance, high performance, high availability, and responsiveness.

In this section, we will discuss one of the important Reactive Replication Patterns: the Active-Passive Replication Pattern.

Observe the following Reactive System scenarios:

Here, one of our end clients or users sends a...