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  • Book Overview & Buying Mastering ServiceStack
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Mastering ServiceStack

Mastering ServiceStack

By : Niedermair
2.5 (2)
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Mastering ServiceStack

Mastering ServiceStack

2.5 (2)
By: Niedermair

Overview of this book

Mastering ServiceStack covers real-life problems that occur over the lifetime of a distributed system and how to solve them by deeply understanding the tools of ServiceStack. Distributed systems is the enterprise solution that provide flexibility, reliability, scaling, and performance. ServiceStack is an outstanding tool belt to create such a system in a frictionless manner, especially sophisticated designed and fun to use. The book starts with an introduction covering the essentials, but assumes you are just refreshing, are a very fast learner, or are an expert in building web services. Then, the book explains ServiceStack's data transfer object patterns and teach you how it differs from other methods of building web services with different protocols, such as SOAP and SOA. It also introduces more low-level details such as how to extend the User Auth, message queues and concepts on how the technology works. By the end of this book, you will understand the concepts, framework, issues, and resolutions related to ServiceStack.
Table of Contents (8 chapters)
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Chapter 3. Asynchronous Communication between Components

In this chapter we will cover the following topics:

  • In Memory MQ
  • RCON
  • RedisMQ
  • RabbitMQ
  • Server-sent events
  • Look left and right

The recent release of .NET has added several new ways to further embrace asynchronous and parallel processing by introducing the Task Parallel Library (TPL), async, and await.

The need for asynchronous processing is present since the early days of programming. Its main concept is to offload the processing to another thread or process to release the calling thread from waiting and it has become a standard model since the rise of GUIs.

In such interfaces only one thread is responsible for drawing the GUI, which must not be blocked in order to remain available and not putting the application in a non-responding state.

This paradigm is a core point in distributed systems, at some point, long running operations are offloaded to a separate component, either to overcome blocking or to avoid resource bottlenecks using...

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