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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

Differentiating concurrency and parallelism

Concurrency and parallelism are two terms that you hear a lot about now when it comes to programming for multiprocessor machines. While the terms themselves and techniques behind the two are distinctly different, sometimes people will confuse one for the other. Because of this, I think it's important to quickly clear the air on these two terms before moving forward, as I will reference them in various places throughout the rest of the book.

Defining concurrency in computing

If you go and look up the word concurrent in the dictionary, you will see that it's a term that applies some form of competition. I think that's a good place to start when trying to understand how concurrency relates to computing and computer programming.

Back in the old days, when computers only had one CPU, that processor had to be smart about how it scheduled and executed the work that was being requested of it. Imagine you were on your old, single CPU computer...

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