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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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Caching strategies for APIs

Redis is a wonderful open source solution for caching high-read configuration/information. It is a key/value pair store and has faster reads thanks to its in-memory storage. An example of a key/value pair store is a media website where a few articles are set fixed on their home page for a few hours.

Instead of letting every reader hit their database to fetch a record, a media house can use Redis to store article content. That is one of many applications of Redis.

Job status is temporary information that becomes irrelevant once the job is finished and status is logged to log storage. Due to this, Redis is the best choice for implementing job status caching. We plan to do the following things:

  • Write a job status
  • Read a job status

Both actions are performed by our job server but at different times. The status can be in three forms:

  • Started
  • In Progress...

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