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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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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?

AWS overview


Amazon Web Service began in 2006 with Amazon Elastic Compute Cloud (Amazon EC2), and has extended its services since then. At present (2017), there are countless services. We will not go through all of them in this chapter, but just focus on the ones you usually deal with when you start to deploy microservices:

The AWS services we are interested in can be organized into four five main groups as seen in the diagram:

  • Routing: Services that redirect requests to the right place, such as DNS services and load balancers
  • Execution: Services that execute your code, such as EC2 or Lambda
  • Storage: Services that store data-storage volumes, caching, regular databases, long-term storage, or CDN
  • Messaging: Services that send notifications, emails, and so on

One extra group of service that is not displayed in the diagram is everything related to provisioning and deployment.

Let's have a look at each group.

Note

If you want to read the official documentation for an Amazon Service, the usual link to...

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