Book Image

Cloud Native Python

By : Manish Sethi
Book Image

Cloud Native Python

By: Manish Sethi

Overview of this book

Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This book will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you’ll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you’ll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you’ll also learn how to Dockerize your services. And finally, you’ll learn how to deploy the application on the AWS and Azure platforms. We will end the book by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you’ve deployed them. This book will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: we're going to build everything using Python 3 and its amazing tooling ecosystem. The book will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform
Table of Contents (14 chapters)
6
Creating UIs to Scale with Flux

Cookies

Cookies are similar to sessions, other than the fact that they are maintained on the client computer in the form of a text file; whereas, sessions are maintained on the server side.

Their main purpose is to keep track of the client's usage and, based on their activity, improve the experience by understanding the cookies.

The cookies attribute is stored in the response object, which is a collection of key-value pairs that have cookies, variables, and their respective values.

We can set the cookies using the set_cookie() function of the response object to store a cookie as follows:

    @app.route('/set_cookie') 
    def cookie_insertion(): 
      redirect_to_main = redirect('/') 
      response = current_app.make_response(redirect_to_main )   
      response.set_cookie('cookie_name',value='values') 
      return response 

Similarly...