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Python for Google App Engine

You're reading from   Python for Google App Engine Master the full range of development features provided by Google App Engine to build and run scalable web applications in Python

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Product type Paperback
Published in Jan 2015
Publisher Packt
ISBN-13 9781784398194
Length 198 pages
Edition 1st Edition
Languages
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Author (1):
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Massimiliano Pippi Massimiliano Pippi
Author Profile Icon Massimiliano Pippi
Massimiliano Pippi
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Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. A More Complex Application 3. Storing and Processing Users' Data 4. Improving Application Performance 5. Storing Data in Google Cloud SQL 6. Using Channels to Implement a Real-time Application 7. Building an Application with Django 8. Exposing a REST API with Google Cloud Endpoints Index

Chapter 4. Improving Application Performance

Even if our Notes application lacks many details, at this point, we are using a number of key components of the Cloud Platform, and so it can be considered a fully fledged web application. This is a good opportunity to stop adding major features and trying to delve into some implementation details involving Datastore, Memcache, and the Modules service in order to optimize application performance.

While going through this chapter, we have to take into consideration how optimizing a web application running on a pay-per-use service such as App Engine is crucial both to maximize performance and lower costs.

In this chapter, we will cover the following topics:

  • Gain a deeper knowledge of Datastore: properties, queries, caching, indexing and administration
  • How to store transient data into Memcache
  • How to structure our application with the help of the Modules service
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