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Hands-On RESTful Python Web Services

You're reading from   Hands-On RESTful Python Web Services Develop RESTful web services or APIs with modern Python 3.7

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789532227
Length 500 pages
Edition 2nd Edition
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Author (1):
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Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
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Table of Contents (14) Chapters Close

Preface 1. Developing RESTful APIs and Microservices with Flask 1.0.2 2. Working with Models, SQLAlchemy, and Hyperlinked APIs in Flask FREE CHAPTER 3. Improving Our API and Adding Authentication to it with Flask 4. Testing and Deploying an API in a Microservice with Flask 5. Developing RESTful APIs with Django 2.1 6. Working with Class-Based Views and Hyperlinked APIs in Django 2.1 7. Improving Our API and Adding Authentication to it with Django 8. Throttling, Filtering, Testing, and Deploying an API with Django 2.1 9. Developing RESTful APIs with Pyramid 1.10 10. Developing RESTful APIs with Tornado 5.1.1 11. Working with Asynchronous Code, Testing, and Deploying an API with Tornado 12. Assessment 13. Other Books You May Enjoy

Understanding strategies for deploying Tornado APIs to the cloud

Tornado supplies its own HTTP server, and therefore it can run without a WSGI container. However, some cloud providers, such as Google App Engine, only enable the running of Tornado in a WSGI-only environment. When Tornado runs in a WSGI-only environment, it doesn't support asynchronous operations. Hence, we must take into account this important limitation when selecting our cloud platform for Tornado.

We must make sure that the API runs under HTTPS in production environments. In addition, we have to make sure we add some authentication and throttling policies. Our Tornado sample is a simple RESTful API that provides some features we can use as a baseline to generate a more complex and secure API.

It is convenient to use a different configuration file for production. However, another approach, which is becoming...
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