Book Image

Akka Cookbook

By : Vivek Mishra, Héctor Veiga Ortiz
Book Image

Akka Cookbook

By: Vivek Mishra, Héctor Veiga Ortiz

Overview of this book

Akka is an open source toolkit that simplifies the construction of distributed and concurrent applications on the JVM. This book will teach you how to develop reactive applications in Scala using the Akka framework. This book will show you how to build concurrent, scalable, and reactive applications in Akka. You will see how to create high performance applications, extend applications, build microservices with Lagom, and more. We will explore Akka's actor model and show you how to incorporate concurrency into your applications. The book puts a special emphasis on performance improvement and how to make an application available for users. We also make a special mention of message routing and construction. By the end of this book, you will be able to create a high-performing Scala application using the Akka framework.
Table of Contents (18 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Persisting the state to Redis


Redis is a popular in-memory data store. It supports multiple data structures that allow developers to use it as a database, cache, or even a message broker. Redis also supports replication, transactions, and some other useful features that makes it attractive to use it as our data store for Akka persistence. In this recipe, we will review how to bring in the required dependencies, define Redis as your desired plugin for journal and snapshots, and run a small app to test it out.

Getting ready

To step through this recipe, we need to import the hell0-Akka project in the IDE; other prerequisites are the same as earlier as we have downloaded the akka-persistence dependency. We will need a Redis instance to test this recipe. For convenience, we will assume we have one instance running on the default port 6379. In this recipe, we are going to make use of the classes defined in the previous recipe, Persisting state to Cassandra.

Note

To install Redis, follow the steps...