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)

Working with Reactive Streams

In this chapter, we will discuss the use of the Akka Streams API to easily perform asynchronous data stream processing with non-blocking backpressure. We will also discuss what the CQRS/ES pattern is and how the Akka Persistence module uses this pattern to support the development of Event-Driven systems or applications.

Its shares the same Akka Toolkit office website ( and GitHub source code location is available at

In this chapter, you will learn the following concepts:

  • Streams and the benefits of streaming data
  • Akka Streams and their features and benefits
  • How Akka Streams support data streaming
  • Backpressure and its importance
  • How Akka Streams implements backpressure, and why we need it in data streaming
  • Akka Streams API examples
  • How to use the Akka Streams GraphDSL API
  • Akka Persistence and its features...