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Mastering Akka

You're reading from   Mastering Akka A hands-on guide to build application using the Akka framework

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781786465023
Length 436 pages
Edition 1st Edition
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Author (1):
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Christian Baxter Christian Baxter
Author Profile Icon Christian Baxter
Christian Baxter
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Table of Contents (11) Chapters Close

Preface 1. Building a Better Reactive App FREE CHAPTER 2. Simplifying Concurrent Programming with Actors 3. Curing Anemic Models with Domain-Driven Design 4. Making History with Event Sourcing 5. Separating Concerns with CQRS 6. Going with the Flow with Akka Streams 7. REST Easy with Akka HTTP 8. Scaling Out with Akka Remoting/Clustering 9. Managing Deployments with ConductR 10. Troubleshooting and Best Practices

Using clustering in the bookstore application


The original bookstore app was set up to run in a multi-server configuration, with each server containing and running a full copy of the application code. This was your basic example of simple horizontal scalability; if you need more throughput, just add another server with the full application deployed to it. The problem with this approach is that it treats all application components equally in how they need to scale, and that's a naive way to view things. In reality, we will want to fully separate our components and allow each to have its own scaling profile.

In this section, we will introduce clustering into the bookstore app. We won't fully separate out our components yet, as that will be the primary focus of the next chapter. This also means that we won't introduce any remote interactions when leveraging actors from different modules, like the sales-order-create flow does in its use of the inventory and user systems. We can set that up here...

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