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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

Open source monitoring tool

In this section, we will mainly discuss the tools that are owned by a third party and collect the metrics of the server to troubleshoot application issues.

Prometheus

Prometheus (https://prometheus.io) is an open source monitoring solution that keeps track of your system activity metrics and alerts you instantly if there are any actions required from your side. This tool is written in Golang.

This tool is gaining popularity similar to tools such as Nagios. It collects the metrics of the server, but it also provides you with template metrics, such as http_request_duration_microseconds, based on your requirement, so that you can generate a graph out of it using UI to understand it much better and monitor it with efficiency.

Note

Note that, by default, Prometheus runs on the9090 port.

To install Prometheus, follow the instructions provided on the official website (https://prometheus.io/docs/introduction/getting_started/). Once it is installed and the service is up, try...

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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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