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Go Cookbook

You're reading from Go Cookbook Build modular, readable, and testable applications in Go

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781783286836

Length 400 pages

Edition 1st Edition

Languages

Go

Concepts

Programming Language

Author (1):

Torres

View More author details

Table of Contents (20) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. I/O and File Systems FREE CHAPTER

2. Command-Line Tools

3. Data Conversion and Composition

4. Error Handling in Go

5. All about Databases and Storage

6. Web Clients and APIs

7. Microservices for Applications in Go

8. Testing

9. Parallelism and Concurrency

10. Distributed Systems

11. Reactive Programming and Data Streams

12. Serverless Programming

13. Performance Improvements, Tips, and Tricks

Google App Engine with Go

App Engine is a Google service that facilitates the quick deployment of web applications. These applications have access to cloud storage and various other Google APIs. The general idea is that App Engine will scale easily with load and simplify any operations management associated with hosting an app. This recipe will show how to create and optionally deploy a basic App Engine application. This recipe won't get into the details of setting up a Google cloud account, setting up billing, or the specifics on cleaning up your instance. At a minimum, access to Google Cloud Datastore (https://cloud.google.com/datastore/docs/concepts/overview) is required for this recipe to work.

Getting ready

Configure your environment according to these steps:

Download and install Go on your operating system from https://golang.org/doc/install and configure your GOPATH environment variable.
Open a terminal/console application.
Navigate to your GOPATH/src and create a project directory, for...

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Authors (1)

Torres

Torres

Aaron Torres received his master's degree in computer science from the New Mexico Institute of Mining and Technology. He has worked on distributed systems in high-performance computing and in large-scale web and microservices applications. He currently leads a team of Go developers that refines and focuses on Go best practices with an emphasis on continuous delivery and automated testing. Aaron has published a number of papers and has several patents in the area of storage and I/O. He is passionate about sharing his knowledge and ideas with others. He is also a huge fan of the Go language and open source for backend systems and development.

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