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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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15
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Summary

In this chapter, we introduced the asynchronous API. First, we explained the key difference between a synchronous API and an asynchronous API. Then, we learned how multiple API requests lead to the fan-in or fan-out of services.

After that, we introduced a queuing system called RabbitMQ. A queue can hold jobs and allows servers to work on them. We learned how to create a queue and write a job into it. We also created a few RabbitMQ clients that can pick jobs from the queue and process them.

We also designed a long-running task with multiple workers and a queue. The workers always listen to the queue and accept jobs. We defined three kinds of workers: DB, Email, and Callback.

Redis is an in-memory database that stores key/value pairs. We can use it as a cache to store the status of jobs. We extended our long-running task to add status information by storing job statuses...

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