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Hands-On RESTful Web Services with Go

You're reading from   Hands-On RESTful Web Services with Go Develop elegant RESTful APIs with Golang for microservices and the cloud

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781838643577
Length 404 pages
Edition 2nd Edition
Languages
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Author (1):
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Naren Yellavula Naren Yellavula
Author Profile Icon Naren Yellavula
Naren Yellavula
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started with REST API Development 2. Handling Routing for our REST Services FREE CHAPTER 3. Working with Middleware and RPC 4. Simplifying RESTful Services with Popular Go Frameworks 5. Working with MongoDB and Go to Create a REST API 6. Working with Protocol Buffers and gRPC 7. Working with PostgreSQL, JSON, and Go 8. Building a REST API Client in Go 9. Asynchronous API Design 10. GraphQL and Go 11. Scaling our REST API Using Microservices 12. Containerizing REST Services for Deployment 13. Deploying REST Services on Amazon Web Services 14. Handling Authentication for our REST Services 15. Other Books You May Enjoy

Using Redis to cache the API data

Redis is an in-memory database that can store key/value pairs. It best suits the use case of storing heavy read-intensive data. For example, news agencies such as the BBC and The Guardian show the latest news articles on their dashboard. Their traffic is high and, if documents are to be fetched from the database, they have to maintain a huge cluster of databases at all times.

Since the given set of news articles does not change (for hours), an agency can maintain a cache of articles. When the first customer visits the page, a copy is pulled from the DB, placed in the Redis cache, and then sent to the browser. Then, for another customer, the news agency server reads content from Redis instead of hitting the DB. Since Redis runs in the primary memory, latency is minimal. As a result, the customer sees faster page loads. The benchmarks on the web...

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