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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
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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 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

Monitoring the Cloud Application

In the previous chapters, we discussed cloud native application development and deploying into a cloud platform for customer usage with higher availability. Our work is not finished yet. Infrastructure and application management is altogether a separate field or stream which monitors the infrastructure, as well as the application's performance, using tools to achieve minimal or zero downtime. In this chapter, we will discuss a few of the tools that could help you do so.

This chapter will cover the following topics:

  • AWS services, such as CloudWatch, Config, and more
  • Azure services, such as Application Insights, Log Analytics, and more
  • Introduction to the ELK stack for Log Analysis
  • Open source monitoring tools, such as Prometheus and more
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