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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

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789532364
Length 374 pages
Edition 1st Edition
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Author (1):
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Saurabh Badhwar Saurabh Badhwar
Author Profile Icon Saurabh Badhwar
Saurabh Badhwar
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Table of Contents (19) Chapters Close

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

Utilizing caching

In most enterprise applications, data that has been accessed once is used again and again. This could be in different requests, or could be because the requests are operating on the same set of data.

In these kinds of scenarios, it would be a huge waste of resources if we tried to access the same data again and again from the database, causing the application to make a lot of queries to the database, resulting in high database loads and poor response times.

The ORM layers we use provide some degree of caching to already accessed data, but still, most of the control resides in the hands of the application developer, who can use his wisdom to make the application performant by analyzing which data will be used again and again, and providing mechanisms for caching it.

Let's take a look at some the caching techniques and see how they can help us to make our...

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