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Cloud Native Python

You're reading from Cloud Native Python Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787129313

Length 374 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Cloud Native

Author (1):

Sethi

View More author details

Table of Contents (21) Chapters

Title Page

Credits

Foreword

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introducing Cloud Native Architecture and Microservices FREE CHAPTER

2. Building Microservices in Python

3. Building a Web Application in Python

4. Interacting Data Services

5. Building WebViews with React

6. Creating UIs to Scale with Flux

7. Learning Event Sourcing and CQRS

8. Securing the Web Application

9. Continuous Delivery

10. Dockerizing Your Services

11. Deploying on the AWS Platform

12. Implementing on the Azure Platform

13. Monitoring the Cloud Application

Evolution of continuous integration and continuous delivery

Nowadays, lots of people are talking about CI (continuous integration) and CD (continuous delivery), and after examining the perspectives of different technologists, I believe all have different understandings of CI and CD, and there is still some confusion about them. Let's dive deeply into these and understand them.

In order to understand continuous integration, you need to first understand the background to SDLC (system development life cycle) and the Agile software development process, which can help during your build and release processes.

Understanding SDLC

SDLC is the process of planning, developing, testing, and deploying your software. This process consists of a sequence of phases, and each phase takes the outcome from the previous phase to proceed further. The following diagram depicts SDLC:

Let's understand each phase in detail:

Requirement Analysis: This is the initial phase for problem analysis, where business analysts perform...

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Authors (1)

Sethi

Sethi

Manish Sethi works as an engineer in Bangalore, India. Over the course of his career, he has worked for start-ups and Fortune 10 companies, helping organizations adopt a cloud-native approach to architecting massively scalable products. He regularly spends time learning and implementing new technology paradigms and actively finds himself solving practical problems using serverless architecture, machine and deep learning, and so on. He contributes to Bangalore DevOps and the Docker community by writing blog posts, giving talks in meetups, and more.

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