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.Go Programming Blueprints

You're reading from   .Go Programming Blueprints Build real-world, production-ready solutions in Go using cutting-edge technology and techniques

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781786468949
Length 394 pages
Edition 2nd Edition
Languages
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Author (1):
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Mat Ryer Mat Ryer
Author Profile Icon Mat Ryer
Mat Ryer
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Table of Contents (19) Chapters Close

Go Programming Blueprints Second Edition
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Chat Application with Web Sockets FREE CHAPTER 2. Adding User Accounts 3. Three Ways to Implement Profile Pictures 4. Command-Line Tools to Find Domain Names 5. Building Distributed Systems and Working with Flexible Data 6. Exposing Data and Functionality through a RESTful Data Web Service API 7. Random Recommendations Web Service 8. Filesystem Backup 9. Building a Q&A Application for Google App Engine 10. Micro-services in Go with the Go kit Framework 11. Deploying Go Applications Using Docker 1. Good Practices for a Stable Go Environment

Chapter 7.  Random Recommendations Web Service

The concept behind the project that we will build in this chapter is a simple one: we want users to be able to generate random recommendations for things to do in specific geographical locations based on a predefined set of journey types that we will expose through the API. We will give our project the codename Meander.

Often on projects in the real world, you are not responsible for the full stack; somebody else builds the website, a different person might write the iOS app, and maybe an outsourced company builds the desktop version. On more successful API projects, you might not even know who the consumers of your API are, especially if it's a public API.

In this chapter, we will simulate this reality by designing and agreeing a minimal API design with a fictional partner up front before going on to implement the API. Once we have finished our side of the project, we will download a user interface built by our teammates to see the two work...

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