In this chapter, you were introduced to the Azure platform, which is provided by Microsoft, and you deployed your cloud native application on it. We took a look at a different approach to build the same infrastructure on the Azure platform. You also saw the integration of Jenkins with the Azure platform for CI/CD. In the next and final chapter, we will take a look at the different tools that are very helpful to manage and troubleshoot your application-related issues, and address them in a much quicker way so that our application can maintain zero downtime. Stay tuned for the next chapter on Monitoring!
Cloud Native Python
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Cloud Native Python
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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)
Preface
Free Chapter
Introducing Cloud Native Architecture and Microservices
Building Microservices in Python
Building a Web Application in Python
Interacting Data Services
Building WebViews with React
Creating UIs to Scale with Flux
Learning Event Sourcing and CQRS
Securing the Web Application
Continuous Delivery
Dockerizing Your Services
Deploying on the AWS Platform
Implementing on the Azure Platform
Monitoring the Cloud Application
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