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Microservice Patterns and Best Practices

You're reading from   Microservice Patterns and Best Practices Explore patterns like CQRS and event sourcing to create scalable, maintainable, and testable microservices

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788474030
Length 366 pages
Edition 1st Edition
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Author (1):
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Vinicius Feitosa Pacheco Vinicius Feitosa Pacheco
Author Profile Icon Vinicius Feitosa Pacheco
Vinicius Feitosa Pacheco
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Table of Contents (15) Chapters Close

Preface 1. Understanding the Microservices Concepts 2. The Microservice Tools FREE CHAPTER 3. Internal Patterns 4. Microservice Ecosystem 5. Shared Data Microservice Design Pattern 6. Aggregator Microservice Design Pattern 7. Proxy Microservice Design Pattern 8. Chained Microservice Design Pattern 9. Branch Microservice Design Pattern 10. Asynchronous Messaging Microservice 11. Microservices Working Together 12. Testing Microservices 13. Monitoring Security and Deployment 14. Other Books You May Enjoy

Caching at the client level

A caching strategy is one of the most important items for discussion when it comes to web applications; with microservices it is no different.

When we speak of cache at the client level, it means that the request only passes to be processed on the backend, if really necessary. In other words, it tries to block direct access to the backend to requests that have already been implemented in the recent past.

A very useful tool for this strategy is the Varnish Cache, defined as: the Varnish Cache accelerator is a web application also known as reverse HTTP proxy caching. In the following diagram, we can see the operation of Varnish Cache:

The requests come from various types of web clients. Varnish Cache passes the request to the Server the first time only and stores the received data from the Server. If a second request for the same information already in the Varnish Cache is made, then Varnish Cache will answer the request, leaving the Server free of such access.

The Varnish Cache can store a number of different types of information in memory, but it is critical and targets the transmitted data. If the information is not componentized, Varnish always let the request go to the Server; you will have no way of knowing if the request is the same type.

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