Akka in Action by Raymond Roestenburg

By Raymond Roestenburg

Akka is a Scala-based toolkit that simplifies constructing concurrent disbursed purposes. ideal for high-volume functions that have to scale speedily, Akka is a good origin for event-driven structures 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 complete educational on construction message-oriented platforms utilizing Akka. The booklet takes a hands-on strategy, the place each one new inspiration is by means of an instance that exhibits the way it works, tips on how to enforce the code, and the way to check it. Readers will discover a message-oriented event-driven software in Akka and in addition take on key matters like how one can version immutable messages and area types, and practice styles like occasion Sourcing, and CQRS. The booklet concludes with sensible suggestion on find out how to track and customise a process equipped with Akka.

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It creates a PUT request to our running server and prints out the response. com REST API OK The event is now created. com REST API [ { "event": "DjMadlib", "nrOfTickets": 15 }, { "event": "RHCP", "nrOfTickets": 10 } ] ©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> 32 Notice, we are seeing both events, and of course, all the tickets are still available.

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. 2 This file needs to specify which version of SBT you are using.

Asynchronicity - Actors are meant to be run in parallel on several threads. Multi-threaded tests are more difficult than single-threaded tests and require concurrency primitives like locks, latches and barriers to synchronize results from various actors. Exactly the kind of thing we wanted to get a bit further away from. Incorrect usage of just one barrier can block a unit test which in turn halts the execution of a full test suite. Statelessness - An actor hides its internal state and does not allow access to this state.

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