Distributed Computing with Go:Practical concurrency and parallelism for Go applications


Distributed Computing with Go:Practical concurrency and parallelism for Go applications
by:V.N. Nikhil Anurag
pages 页数:246 pages
Publisher Finelybook 出版社:Packt Publishing (28 Feb. 2018)
Language 语言:English
ISBN-10 书号:1787125386
ISBN-13 书号:9781787125384

Book Description
A tutorial leading the aspiring Go developer to full mastery of Golang’s distributed features.
Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by:setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development.
You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by:writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands.
Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.
What you will learn

Gain proficiency with concurrency and parallelism in Go
Learn how to test your application using Go’s standard library
Learn industry best practices with technologies such as REST, OpenAPI, Docker, and so on
Design and build a distributed search engine
Learn strategies on how to design a system for web scale

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