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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

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787129313
Length 374 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Manish Sethi Manish Sethi
Author Profile Icon Manish Sethi
Manish Sethi
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Table of Contents (14) Chapters Close

Preface 1. Introducing Cloud Native Architecture and Microservices 2. Building Microservices in Python FREE CHAPTER 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

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...
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