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  • Book Overview & Buying Go Recipes for Developers
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Go Recipes for Developers

Go Recipes for Developers

By : Burak Serdar
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Go Recipes for Developers

Go Recipes for Developers

By: Burak Serdar

Overview of this book

With its simple syntax and sensible conventions, Go has emerged as the language of choice for developers in network programming, web services, data processing, and other settings. This practical guide helps engineers leverage Go through up-to-date recipes that solve common problems in day-to-day programming. Drawing from three decades of distributed systems engineering and technical leadership at companies like Red Hat, Burak Serdar brings battle-tested expertise in building robust, scalable applications. He starts by covering basics of code structure, describing different approaches to organizing packages for different types of projects. You’ll discover practical solutions to engineering challenges in network programming, dealing with processes, databases, data processing pipelines, and testing. Each chapter provides working solutions and production-ready code snippets that you can seamlessly incorporate into your programs while working in sequential and concurrent settings. The solutions leverage the more recent additions to the Go language, such as generics and structured logging. Most of the examples are developed using the Go standard library without any third-party packages. By the end of this book, you’ll have worked through a collection of proven recipes that will equip you accelerate your Go development journey.
Table of Contents (20 chapters)
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Worker pools

Let’s say you have large amounts of data elements (for instance, image files) and you want to apply the same logic to each of them. You can write a function that processes one instance of the input, and then call this function in a for loop. Such a program will process the input elements sequentially, and if each element takes t seconds to process, all inputs will be completed at last at n.t seconds, n being the number of inputs.

If you want to increase throughput by using concurrent programming, you can create a pool of worker goroutines. You can feed the next input to an idle member of the worker pool, and while that is being processed, you can assign the subsequent input to another member. If you have p logical processors (which can be cores of physical processors) running in parallel, the result can be available in as fast as n.t/p seconds (this is a theoretical upper limit because the distribution of load among parallel processes is not always perfect, and...

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Go Recipes for Developers
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