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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Table of Contents (13) Chapters Close

Preface 1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

Deploying on AWS - the basics


Now that we have looked at the major AWS services, let's see how to deploy a microservice on them in practice.

To understand how AWS works, it is good to know how to manually deploy an EC2 instance, and run a microservice on it. This section describes how to deploy a CoreOS instance, and run a Docker container in it. Then, we will look at automated clusters' deployments using ECS. Lastly, we will see how Route53 can be used to publish your clusters of services under a domain name.

First of all, let's create an AWS account.

Setting up your AWS account

The first step in deploying on Amazon is to create an account at https://aws.amazon.com. You have to enter your credit card information to register, but you can use some of the services with a basic plan for free for a while under some conditions.

The services that are offered for free are good enough to evaluate AWS.

Once you have registered, you are redirected to the AWS console. The first thing you need do is pick...

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