Get Akka in Action PDF

By Raymond Roestenburg

Summary

Akka in Action is a complete instructional on development message-oriented structures utilizing Akka. The e-book takes a hands-on strategy, the place every one new thought is via an instance that indicates you the way it really works, how you can enforce the code, and the way to (unit) try out it.

Purchase of the print e-book encompasses a unfastened e-book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

Akka makes it fairly effortless to construct purposes within the cloud or on units with many cores that successfully use the entire ability of the computing strength on hand. it is a toolkit that gives an actor programming version, a runtime, and required aid instruments for development scalable applications.

About the Book

Akka in Action exhibits you the way to construct message-oriented structures with Akka. This finished, hands-on educational introduces each one inspiration with a case in point. you will commence with the large photo of the way Akka works, after which quick construct and install a completely sensible leisure carrier out of actors. you will discover test-driven improvement and deploying and scaling fault-tolerant structures. After gaining knowledge of the fundamentals, you will find the right way to version immutable messages, enforce area versions, and follow ideas like occasion sourcing and CQRS. You'l additionally discover a educational on construction streaming functions utilizing akka-stream and akka-http. ultimately, you'l get sensible recommendation on easy methods 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 e-book assumes that you are pleased with Java and Scala. No previous adventure 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 platforms integration. Rob Williams has greater than twenty years of product improvement experience.

Table of Contents

  1. Introducing Akka
  2. Up and operating
  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 patience
  16. Performance information
  17. Looking ahead

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Additional info for Akka in Action

Sample text

But this is not the only reason, which we will get into in the next section. There are cases where you would like to look up an actor in the actor system. This is where ActorPaths come in. You could compare the hierarchy of actors to a URL path structure. Every actor has a name. This name needs to be unique per level in the hierarchy: two sibling actors can’t have the same name (if you don’t provide a name, Akka generates one for you, but it’s a good idea to name all your actors). All actor references can be located directly by an actor path, absolute or relative.

The number of CPU cores in devices is also ever-increasing: even mobile phones and tablets have many CPU cores today. But that doesn’t mean that we can afford to throw any number of resources at any problem. In the end, everything is about cost and efficiency. So it’s all about effectively scaling applications, or in other words, getting bang for your buck. Just as you’d never use a sorting algorithm with exponential time complexity, it makes sense to think about the cost of scaling. Ideally, you’d expect the following two statements to be true when scaling your application: The ability to handle any increase of demand with the same number of resources is unrealistic, so ideally you’d want the required increase of resources to be growing slowly when demand grows, linear or better.

The only thing that has to change is how the reference to remote actors is looked up, which can be achieved solely through configuration, as we will see later. The code stays exactly the same. Which means that we can often transition from scaling up to scaling out without having to change a single line of code. The flexibility of resolving an address is heavily used in Akka, as we will show throughout this book. Remote actors, clustering, and even the test toolkit use this flexibility. 8 Summary Let’s recap what we have learned in this chapter.

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