Book Image

Hands-On RESTful Web Services with Go - Second Edition

By : Naren Yellavula
Book Image

Hands-On RESTful Web Services with Go - Second Edition

By: Naren Yellavula

Overview of this book

Building RESTful web services can be tough as there are countless standards and ways to develop API. In modern architectures such as microservices, RESTful APIs are common in communication, making idiomatic and scalable API development crucial. This book covers basic through to advanced API development concepts and supporting tools. You’ll start with an introduction to REST API development before moving on to building the essential blocks for working with Go. You’ll explore routers, middleware, and available open source web development solutions in Go to create robust APIs, and understand the application and database layers to build RESTful web services. You’ll learn various data formats like protocol buffers and JSON, and understand how to serve them over HTTP and gRPC. After covering advanced topics such as asynchronous API design and GraphQL for building scalable web services, you’ll discover how microservices can benefit from REST. You’ll also explore packaging artifacts in the form of containers and understand how to set up an ideal deployment ecosystem for web services. Finally, you’ll cover the provisioning of infrastructure using infrastructure as code (IaC) and secure your REST API. By the end of the book, you’ll have intermediate knowledge of web service development and be able to apply the skills you’ve learned in a practical way.
Table of Contents (16 chapters)

GraphQL and Go

In this chapter, we'll introduce a new query language called GraphQL. The traditional API definitions have failed to address the under-fetching and over-fetching APIs. An under-fetching API is an API that provides a minimum set of details for a given request. The drawback of this is that a developer should always create a new API or update the existing one. To overcome this, they can provide extra data that the clients can ignore safely. This causes another side effect; that is, it increases the payload size of the response. This situation is known as over-fetching. An over-fetching API provides unnecessary or unwanted data for clients. The response size is crucial when there are limitations regarding network bandwidth when designing APIs for clients.

GraphQL is a query language that solves this problem. In this chapter, we'll learn how a client can efficiently...