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

Bidirectional streaming with GRPC


The main advantage of GRPC over traditional HTTP/1.1 is that it uses a single TCP connection for sending and receiving multiple messages between the server and the client. We saw the example of a money transaction before. Another real-world use case is a GPS installed in a taxi. Here, the taxi is the client that sends its geographical points to the server along its route. Finally, the server can calculate the total fare amount depending on the time spent between points and the total distance. 

Another such use case is when a server needs to notify the client whenever some processing is performed. This is called a server push model. The server can send a stream of results back when a client asked for them only once. This is different to polling, where the client requests something each and every time. This can be useful when there are a series of time-taking steps that need to be done. The GRPC client can escalate that job to the GRPC server. Then, the server...