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

Summary


First, we started the chapter with an introduction to MongoDB and how it solves the problems of the modern web. MongoDB is a NoSQL database that is different from traditional relational databases. Then, we learned how to install MongoDB on all platforms and how to start the Mongo server. We then explored the features of the Mongo shell. The Mongo shell is a tool for quick checking or performing CRUD operations and many other operations in MongoDB. We looked at operator symbols for querying. We next introduced Go's MongoDB driver called mgo and learned its usages. We created a persistent movies API with the help of mgo and MongoDB. We saw how to map a Go struct to a JSON document.

Not all the queries are efficient in MongoDB. So, for boosting the query performance, we saw the indexing mechanism that reduces the document fetching time by arranging the documents in the order of a B-tree. We saw how to measure the execution time of a query using the explain command. Finally, we laid out...