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Reactive Design Patterns Roland Kuhn Et Al

  • SKU: BELL-5762578
Reactive Design Patterns Roland Kuhn Et Al
$ 31.00 $ 45.00 (-31%)

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Reactive Design Patterns Roland Kuhn Et Al instant download after payment.

Publisher: Manning
File Extension: PDF
File size: 7.33 MB
Pages: 387
Author: Roland Kuhn et al.
ISBN: 9781617291807, 1617291803
Language: English
Year: 2017

Product desciption

Reactive Design Patterns Roland Kuhn Et Al by Roland Kuhn Et Al. 9781617291807, 1617291803 instant download after payment.

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book youll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka. Foreword by Jonas Bon?r.
Modern web applications serve potentially vast numbers of users - and they need to keep working as servers fail and new ones come online, users overwhelm limited resources, and information is distributed globally. A Reactive application adjusts to partial failures and varying loads, remaining responsive in an ever-changing distributed environment. The secret is message-driven architecture - and design patterns to organize it.
Reactive Design Patterns presents the principles, patterns, and best practices of Reactive application design. Youll learn how to keep one slow component from bogging down others with the Circuit Breaker pattern, how to shepherd a many-staged transaction to completion with the Saga pattern, how to divide datasets by Sharding, and more. Youll even see how to keep your source code readable and the system testable despite many potential interactions and points of failure.
Whats Inside
The definitive guide to the Reactive Manifesto
Patterns for flow control, delimited consistency, fault tolerance, and much more
Hard-won lessons about what doesnt work
Architectures that scale under tremendous load
Most examples use Scala, Java, and Akka. Readers should be familiar with distributed systems.

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