Go in Practice. 2 Ed

В этом материале разберём тему: techniques.

Practical techniques for building concurrent, cloud-native, and high performance Go applications—all accelerated with productivity-boosting AI tools.

Go in Practice, Second Edition is full of tips, tricks, best practices, and expert insights into how to get things done with Go. It builds on your existing knowledge of the Go language, introducing specific strategies you can use to maximize your productivity in day-to-day dev work.

In Go in Practice, Second Edition, you’ll learn:Concurrency with goroutines and channelsWeb servers and microservices with event streams and websocketsLogging, caching, and data access from environment variables and filesCloud-native Go applicationsAI tools to accelerate your development workflowGo in Practice, Second Edition has been extensively revised by author Nathan Kozyra to cover the latest version of Go, along with new dev techniques, including productivity-boosting AI tools. It follows an instantly-familiar cookbook-style Problem/Solution/Discussion format, building on what you already know about Go with advanced or little-known techniques for concurrency, logging and caching, microservices, testing, deployment, and more.

To build production-quality Go applications, you’ll need to handle concurrency, networking, file access, native communication protocols like gRPC and TCP/REST, and a host of other practical issues. About the technologyYou’ve mastered the basics of Go—now what? Following a friendly cookbook format, this book gives you instantly-useful solutions to the problems you’ll see on the job.

This up-to-date revision covers the latest Go innovations, including generics, panics and other error handling tools, and modern concurrency patterns, along with advanced features like reflection and code generation. About the bookGo in Practice, Second Edition delivers dozens of practical techniques for writing and maintaining Go applications following a handy problem/solution/discussion format. You’ll also love the tips for integrating AI code completion into your development process.

What's insideConcurrency with goroutines and channelsWeb servers and microservicesLogging, caching, and data accessAbout the readerFor intermediate developers with previous experience in Go.

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