Download Akka in Action by Raymond Roestenburg PDF

By Raymond Roestenburg

Akka is a Scala-based toolkit that simplifies constructing concurrent disbursed functions. excellent for high-volume functions that have to scale swiftly, Akka is a good starting place for event-driven platforms that are looking to scale elastically up and out on call for, either on multi-core processors and throughout server nodes.
Akka in motion is a entire educational on construction message-oriented structures utilizing Akka. The e-book takes a hands-on procedure, the place every one new idea is through an instance that exhibits the way it works, how you can enforce the code, and the way to check it. Readers will discover a message-oriented event-driven program in Akka and in addition take on key concerns like the way to version immutable messages and area versions, and practice styles like occasion Sourcing, and CQRS. The booklet concludes with useful recommendation on find out how to song and customise a process outfitted with Akka.

Show description

Read or Download Akka in Action PDF

Similar enterprise applications books

Commercial Data Mining. Processing, Analysis and Modeling for Predictive Analytics Projects

Even if you're fresh to facts mining or engaged on your 10th predictive analytics undertaking, advertisement information Mining should be there for you as an obtainable reference outlining the whole strategy and similar subject matters. during this e-book, you are going to research that your company doesn't desire a large quantity of information or a Fortune 500 finances to generate enterprise utilizing present info resources.

Uncertainty in artificial intelligence 5

This quantity, like its predecessors, displays the innovative of analysis at the automation of reasoning less than uncertainty. A extra pragmatic emphasis is clear, for even though a few papers deal with basic concerns, the bulk handle useful matters. subject matters comprise the kin among replacement formalisms (including possibilistic reasoning), Dempster-Shafer trust capabilities, non-monotonic reasoning, Bayesian and selection theoretic schemes, and new inference innovations for trust nets.

Mastering SQL Server 2014 Data Mining

Grasp picking out, making use of, and deploying info mining types to construct robust predictive research frameworksAbout This BookUnderstand different stages of knowledge mining, besides the instruments used at every one stageExplore different facts mining algorithms in depthBecome a professional in optimizing algorithms and situation-based modelingWho This booklet Is ForIf you're a developer who's engaged on facts mining for giant businesses and wish to improve your wisdom of SQL Server info Mining Suite, this booklet is for you.

Additional info for Akka in Action

Sample text

Visit their site the signup speaks for itself. com. After that we will deploy it and run it. com App. Execute the following command in the chapter2 directory: heroku create ©Manning Publications Co. We welcome reader comments about anything in the manuscript - other than typos and other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders. com> 44 You should see something like the following response: Creating damp-bayou-9575... git We need to add a couple of things to our project so Heroku understands how to build our code.

These will be cleaned up during production of the book by copyeditors and proofreaders. 2 One-way messages Remember, we have left the land of invoke a function and wait on the response, so the fact that our examples are all just sending one way messages with tell is deliberate. Given this fire and forget style, we don't know when the message arrives at the actor, or if it even arrives, so how do we test this? What we would like to do is send a message to an actor, and after sending the message check that the actor has done the work it should have done.

In this case we use expectMsgPF which takes a partial function just like the receive of the actor. Here we match the message that was sent to the testActor , which should be a Event with one less ticket. Of course, if we run the test now, it will fail because we have not implemented the message protocol in Agent1 . Let's do that now. _ def receive = { case game @ Game(_, tickets) => nextKiosk ! tail) } } The next Agent is passed to the constructor, in the test we pass in a testActor The simplified Ticket message The Event contains tickets an immutable copy is made of the Event message with one less ticket We once again create a protocol that keeps all related messages together.

Download PDF sample

Rated 4.03 of 5 – based on 21 votes