Book Image

Building RESTful Web services with Go

By : Naren Yellavula
Book Image

Building RESTful Web services with Go

By: Naren Yellavula

Overview of this book

REST is an architectural style that tackles the challenges of building scalable web services and in today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of Go, makes it a breeze for developers to work with it to build robust Web APIs. This book takes you through the design of RESTful web services and leverages a framework like Gin to implement these services. The book starts with a brief introduction to REST API development and how it transformed the modern web. You will learn how to handle routing and authentication of web services along with working with middleware for internal service. The book explains how to use Go frameworks to build RESTful web services and work with MongoDB to create REST API. You will learn how to integrate Postgres SQL and JSON with a Go web service and build a client library in Go for consuming REST API. You will learn how to scale APIs using the microservice architecture and deploy the REST APIs using Nginx as a proxy server. Finally you will learn how to metricize a REST API using an API Gateway. By the end of the book you will be proficient in building RESTful APIs in Go.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Introduction to protocol buffers


HTTP/1.1 is the standard that is adopted by the web community. In recent times, HTTP/2 is becoming more popular because of its advantages. Some of the benefits of using HTTP/2 are:

  • Encryption of data via TLS (HTTPS)
  • Compression of headers
  • Single TCP connection
  • Fallback to HTTP/1.1
  • Support from all major browsers

The technical definition from Google about protocol buffers is:

Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format.

In Go, protocol buffers are coupled with HTTP/2. They are a format like JSON but strictly typed, understandable only...