Akka in Action - download pdf or read online

By Raymond Roestenburg

ISBN-10: 1617291013

ISBN-13: 9781617291012

Summary

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

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

About the Technology

Akka makes it particularly effortless to construct purposes within the cloud or on units with many cores that successfully use the entire skill of the computing energy to be had. it is a toolkit that offers an actor programming version, a runtime, and required help instruments for development scalable applications.

About the Book

Akka in Action indicates you the way to construct message-oriented platforms with Akka. This finished, hands-on instructional introduces each one suggestion with a case in point. you are going to begin with the massive photograph of ways Akka works, after which fast construct and install a completely practical leisure carrier out of actors. you are going to discover test-driven improvement and deploying and scaling fault-tolerant platforms. After learning 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 instructional on construction streaming functions utilizing akka-stream and akka-http. ultimately, you'l get sensible suggestion on tips 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 booklet assumes that you are pleased with Java and Scala. No past adventure with Akka required.

About the Authors

A software program craftsman and architect, Raymond Roestenburg is an Akka committer. Rob Bakker focuses on concurrent back-end structures 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 dispensed 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 guidance
  17. Looking ahead

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Extra resources for Akka in Action

Sample text

Problem solved. Programmers around the world were having a “free lunch” and life was good. Around 2005, Herb Sutter wrote in Dr. htm). In short, a limit to increasing CPU clock speeds has been reached and the free lunch is over. If applications need to perform faster, or if they need to support more users, they will have to be concurrent. (We’ll get to a strict definition later; for now let’s simply define this as not single-threaded. ) Scalability is the measure to which a system can adapt to a change in demand for resources, without negatively impacting performance.

16, “Components”. An actor is a lightweight process which has only four core operations: Create, Send, Become, and Supervise. All of these operations are asynchronous.  Components The actor model is not new The actor model is not new at all and has actually been around for quite a while; the idea was introduced in 1973 by Carl Hewitt, Peter Bishop, and Richard Steiger. The Erlang language and its OTP middleware libraries, developed by Ericsson around 1986, supports the actor model and has been used to build massively scalable systems with requirements for high availability.

It’s the next best thing to a free lunch. Around the year 2005 when Herb Sutter wrote his excellent article, you’d find companies running applications on clustered multi-processor servers (often no more than two to three, just in case one of them crashes). Support for concurrency in programming languages was available but limited and considered black magic by many mere mortal programmers. ” Let’s see what changes in about a decade since! Fast forward to today and you find applications run on large numbers of servers in the cloud, integrating many systems across many data centers.

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Akka in Action by Raymond Roestenburg


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