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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

Understanding the Reactive Streams API


Before we jump into the design of the Akka Streams API, it's important for us to take a quick look at the Reactive Streams API, which is where Akka Streams gets its roots. The Reactive Streams API started out as an effort to design a standardized way of handling asynchronous stream processing with nonblocking back-pressure. Their main focus was to build a nonblocking, event-driven API, and therefore making it reactive, to govern the interchange of streaming data across asynchronous processing stages or boundaries.

The Reactive Streams group is made up of contributors from companies such as Twitter and Netflix, and includes the team from Akka too. They set out to define a very low-level API that can serve as the foundation for other streaming APIs, such as Akka Streams, to be built on top of. The Java API was designed as a mechanism to process a potentially unbounded number of elements in sequence, asynchronously passing elements between components-with...

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