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Hands-On Enterprise Application Development with Python

You're reading from Hands-On Enterprise Application Development with Python Design data-intensive Application with Python 3

Product type Paperback

Published in Dec 2018

Publisher Packt

ISBN-13 9781789532364

Length 374 pages

Edition 1st Edition

Languages

Python

Tools

Django

Concepts

Application Development

Author (1):

Saurabh Badhwar

View More author details

Table of Contents (19) Chapters

Preface

1. Using Python for Enterprise

2. Design Patterns – Making a Choice FREE CHAPTER

3. Building for Large-Scale Database Operations

4. Dealing with Concurrency

5. Building for Large-Scale Request Handling

6. Example – Building BugZot

7. Building Optimized Frontends

8. Writing Testable Code

9. Profiling Applications for Performance

10. Securing Your Application

11. Taking the Microservices Approach

12. Testing and Tracing in Microservices

13. Going Serverless

14. Deploying to the Cloud

15. Enterprise Application Integration and its Patterns

16. Microservices and Enterprise Application Integration

17. Assessment

18. Other Books You May Enjoy

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Chapter 7

Answer 1

The use of CDN does improve the loading performance of a web page. This is because of the way the browser caches the content from a given URL. Sometimes, we can gain the following benefits when we use an existing CDN to serve some of the content:

For some of the frontend libraries that are common, there is a chance that the libraries are already cached by the user's browser while they visited some other website, which include the content from the CDN. This helps us to avoid redownloading those libraries and reduces the bandwidth usage and improves the loading speed of the page.
CDNs can also route the request to the servers based on the user geography so that the content is downloaded with the...

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Authors (1)

Saurabh Badhwar

Saurabh Badhwar

Saurabh Badhwar is an infrastructure engineer who works on building tools and frameworks that enhance developer productivity. A major part of his work involves using Python to develop services that scale to thousands of concurrent users. He is currently employed at LinkedIn and works on infrastructure performance tools and services.

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