Download PDF by Raymond Roestenburg: Akka in Action

By Raymond Roestenburg

ISBN-10: 1617291013

ISBN-13: 9781617291012

Summary

Akka in Action is a complete educational on development message-oriented platforms utilizing Akka. The booklet takes a hands-on method, the place every one new thought is by way of an instance that exhibits you the way it really works, how one can enforce the code, and the way to (unit) try it.

Purchase of the print publication features a loose e-book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

Akka makes it quite effortless to construct purposes within the cloud or on units with many cores that successfully use the complete means of the computing strength to be had. it is a toolkit that offers an actor programming version, a runtime, and required aid instruments for construction scalable applications.

About the Book

Akka in Action exhibits you ways to construct message-oriented structures with Akka. This finished, hands-on educational introduces each one idea with a case in point. you will begin with the large photograph of the way Akka works, after which quick construct and set up an absolutely useful relaxation provider out of actors. you are going to discover test-driven improvement and deploying and scaling fault-tolerant structures. After getting to know the fundamentals, you will find find out how to version immutable messages, enforce area versions, and practice innovations like occasion sourcing and CQRS. You'l additionally discover a instructional on development streaming functions utilizing akka-stream and akka-http. ultimately, you'l get functional suggestion on the right way to customise and expand your Akka system.

What's Inside

  • Getting concurrency right
  • Testing and function tuning
  • Clustered and cloud-based applications
  • Covers Akka model 2.4

About the Reader

This ebook assumes that you are ok with Java and Scala. No earlier event with Akka required.

About the Authors

A software program craftsman and architect, Raymond Roestenburg is an Akka committer. Rob Bakker makes a speciality of concurrent back-end platforms and structures integration. Rob Williams has greater than two decades of product improvement experience.

Table of Contents

  1. Introducing Akka
  2. Up and working
  3. Test-driven improvement with actors
  4. Fault tolerance
  5. Futures
  6. Your first allotted Akka app
  7. Configuration, logging, and deployment
  8. Structural styles for actors
  9. Routing messages
  10. Message channels
  11. Finite-state machines and brokers
  12. System integration
  13. Streaming
  14. Clustering
  15. Actor endurance
  16. Performance counsel
  17. Looking ahead

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Extra info for Akka in Action

Sample text

As we will see, this is conceptually how Akka provides error recovery, which is discussed in chapter 4 on fault tolerance. In the next section we’ll talk about actors in general first, and then talk about Akka actors. 6 Actors: One programming model to rule up and out Most general-purpose programming languages are written in sequence (Scala and Java being no exception to the rule). A concurrent programming model its required to bridge the gap between sequential definition and parallel execution.

The conversation and mentions object can reside on different servers; the events are just messages that can be transmitted over the network. The event driven approach solves the polling problem with the mentions object, as well as the direct coupling with the TeamFinder object. In chapter 5 on futures, we’ll look at some better ways to communicate with many web services than sequentially waiting for every response, which we will leave out of scope for now. It’s important to note that once again we can model the solution to this problem by simply sending and receiving messages.

We’ll look at what we'll call the traditional approach, a method that you are probably familiar with to building such an application (using threads and locks, RPC and the like) and compare it to Akka’s approach. The traditional approach starts with a simple in-memory application, which turns into an application that relies completely on a database for both concurrency and mutating state. Once the application needs to be more interactive we’ll have no choice but to poll this database. Once more network services are added, we’ll show that the combination of working with the database and the RPC-based network increases complexity significantly.

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Akka in Action by Raymond Roestenburg


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