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

Monitoring on the cloud platform

So far, we have talked about how to develop the application and deploy it across different platforms in order to make it useful for the customer business model. However, even after you have developed the application, you will need personnel with expertize who will make use of tools to manage your application on the platform, which could be a public cloud or on-premise.

In this section, we will mainly focus on discussing tools or services provided by public cloud providers, using those with which we can manage our infrastructure, as well as taking care of Application Insights, that is, performance.

Before we go ahead with discussing tools, here are a few points to consider at the time of infrastructure allocation for any application:

  • It is good practice to perform load testing regularly against a certain set of requests. This will help you judge...