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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?

Chapter 11. Deploying on AWS

Unless you are Google or Amazon, and need to run thousands of servers, managing your hardware in some data center does not provide many benefits in 2017.

Cloud providers offer to host a solution that is often cheaper than deploying and maintaining your infrastructure. Amazon Web Services (AWS) and others have numerous services that let you manage virtual machines from a web console, and they add new features every year.

One of the latest AWS additions, for example, is Amazon Lambda. Lambda lets you trigger a Python script when something happens in your deployments. With Lambda, you do not have to worry about setting up a server and a cron job, or some form of messaging. AWS takes care of executing your script in a VM automatically, and you only pay for execution time.

Combined with what Docker has to offer, this kind of feature really changes how applications can be deployed in the cloud, and provide a fair amount of flexibility. For instance, you do not have to...

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