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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 (20) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction
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?

Execution - EC2 and Lambda


The core of AWS is EC2 (https://aws.amazon.com/ec2/), which lets you create Virtual Machines. Amazon uses the Xen hypervisor (https://www.xenproject.org/) to run Virtual Machines, and Amazon Machine Images (AMIs) to install them.

AWS has a huge list of AMIs you can choose from; you can also create your own AMIs by tweaking an existing AMI. Working with AMIs is quite similar to working with Docker images. Once you have picked an AMI from the Amazon console, you can launch an instance, and, after it has booted, you can use SSH into it and start working.

At any moment, you can snapshot the VM and create an AMI that saves the instance state. This feature is quite useful if you want to manually set up a server, then use it as a basis for deploying clusters.

An EC2 instance comes in different series (https://aws.amazon.com/ec2/instance-types/). The T2, M3, and M4 series are for a general purpose. The T series uses a bursting technology, which boosts the baseline performance...

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