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Hands-On RESTful Web Services with Go

Hands-On RESTful Web Services with Go

By : Yellavula
1.8 (4)
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Hands-On RESTful Web Services with Go

Hands-On RESTful Web Services with Go

1.8 (4)
By: 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)
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Bidirectional streaming with gRPC

The main advantage of gRPC over traditional HTTP/1.1 is that it can use a single TCP connection for sending and receiving multiple messages between the server and the client. We saw the example of a money transaction previously. 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 use case is a server pushing data to a client. This is called a server push model, where a server can send a stream of results back to the client. This is different from polling, where the client creates a new request/response cycle each and every time. The server push can be very handy for building real-time applications. Let's implement...

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