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)
Creating UIs to Scale with Flux

Continuous integration

Continuous integration is a process of collaborating the code into the mainline code base. In simple words, continuous integration helps developers to test their new code at the initial stage by creating frequent builds while they are developing and generating test results, and if everything works, then merging the code to the mainline code.

This can be understood by the following diagram, which depicts the issues that occur during SDLC:

There are, basically, the following types of issues that occur during continuous integration:

  • Build failure before integration
  • Integration failures
  • Build failure (after integration)

In order to solve those issues, the developer needs to modify the code to fix it, and the complete integration process is repeated again until the feature is successfully deployed.