Go in Practice, Second Edition

Go in Practice, Second Edition

Go in Practice, Second Edition

by: Matt Butcher (Author), Nathan Kozyra (Author), Matt Farina (Author)

Publisher: Manning

Publication Date: 2024-07-01

Language: English

Print Length: 376 pages

ISBN-10: 1633436888

ISBN-13: 9781633436886

Book Description

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 a cookbook-style collection of the techniques and best practices you need to build production-quality Go applications. 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 channels- Web servers and microservices with event streams and websockets- Logging, caching, and data access from environment variables and files- Cloud-native Go applications- AI 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.about the bookGo in Practice, Second Edition gives you practical guidance on the ins-and-outs of Go development, covering the standard library and the most important tools from Go’s powerful ecosystem. You’ll find practical techniques for concurrency with goroutines and channels, building high-performance web services, creating effective microservices, testing and deployment, and much more. Learn how to gracefully handle errors and unexpected situations in Go, understand Go’s error and panic models, and create comprehensive test suites that help prevent bugs. Plus, throughout you’ll see how you can augment your productivity by integrating AI code completion into your development process.

Editorial Reviews

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 a cookbook-style collection of the techniques and best practices you need to build production-quality Go applications. 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 channels- Web servers and microservices with event streams and websockets- Logging, caching, and data access from environment variables and files- Cloud-native Go applications- AI 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.about the bookGo in Practice, Second Edition gives you practical guidance on the ins-and-outs of Go development, covering the standard library and the most important tools from Go’s powerful ecosystem. You’ll find practical techniques for concurrency with goroutines and channels, building high-performance web services, creating effective microservices, testing and deployment, and much more. Learn how to gracefully handle errors and unexpected situations in Go, understand Go’s error and panic models, and create comprehensive test suites that help prevent bugs. Plus, throughout you’ll see how you can augment your productivity by integrating AI code completion into your development process.

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