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Akka Cookbook

You're reading from   Akka Cookbook Recipes for concurrent, fast, and reactive applications

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781785288180
Length 414 pages
Edition 1st Edition
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Authors (3):
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Vivek Mishra Vivek Mishra
Author Profile Icon Vivek Mishra
Vivek Mishra
Piyush Mishra Piyush Mishra
Author Profile Icon Piyush Mishra
Piyush Mishra
Héctor Veiga Ortiz Héctor Veiga Ortiz
Author Profile Icon Héctor Veiga Ortiz
Héctor Veiga Ortiz
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Toc

Table of Contents (12) Chapters Close

Preface 1. Diving into Akka FREE CHAPTER 2. Supervision and Monitoring 3. Routing Messages 4. Using Futures and Agents 5. Scheduling Actors and Other Utilities 6. Akka Persistence 7. Remoting and Akka Clustering 8. Akka Streams 9. Akka HTTP 10. Understanding Various Akka patterns 11. Microservices with Lagom

Integrating Akka Streams with Kafka using Reactive Kafka

Apache Kafka is a distributed messaging system that is becoming an industry favorite. A messaging system is commonly used to decouple application components and help scale out system architectures. Apache Kafka has the peculiarity of writing messages directly into the disk instead of memory. Initially, this might seem like a showstopper. However, this technique allows Apache Kafka to achieve extremely high message rates thanks to both sequential writes and the partitioning system. Kafka has demonstrated that it is capable of consuming and delivering millions of messages per second.

In this recipe, we will use Kafka 0.10.1. We will create two streams. The first one will publish to a Kafka topic. The second one will consume from it. Both the streams use the same topic, namely akka_streams_topic. 

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