Learning Akka
by Jason Goodwin /
2016 / English / PDF
7.6 MB Download
Key Features
Build networked applications that self-heal
Scale out your applications to handle more traffic faster
An easy-to-follow guide with a number of examples to ensure you get the best start with Akka
Book Description
Software today has to work with more data, more users, more cores, and more servers than ever. Akka is a distributed computing toolkit that enables developers to build correct concurrent and distributed applications using Java and Scala with ease, applications that scale across servers and respond to failure by self-healing. As well as simplifying development, Akka enables multiple concurrency development patterns with particular support and architecture derived from Erlang's concept of actors (lightweight concurrent entities). Akka is written in Scala, which has become the programming language of choice for development on the Akka platform.
Learning Akka aims to be a comprehensive walkthrough of Akka. This book will take you on a journey through all the concepts of Akka that you need in order to get started with concurrent and distributed applications and even build your own.
Beginning with the concept of Actors, the book will take you through concurrency in Akka. Moving on to networked applications, this book will explain the common pitfalls in these difficult problem areas while teaching you how to use Akka to overcome these problems with ease.
The book is an easy to follow example-based guide that will strengthen your basic knowledge of Akka and aid you in applying the same to real-world scenarios.
What you will learn
Use Akka to overcome the challenges of concurrent programming
Resolve the issues faced in distributed computing with the help of Akka
Scale applications to serve a high number of concurrent users
Make your system fault-tolerant with self-healing applications
Provide a timely response to users with easy concurrency
Reduce hardware costs by building more efficient multi-user applications
Maximise network efficiency by scaling it
