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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 with ECS


As described earlier in this chapter, ECS takes care of deploying Docker images automatically, and sets up all the services needed around the instances.

You do not need, in this case, to create EC2 instances yourself. ECS uses its own AMI, which is tweaked to run Docker containers on EC2. It is pretty similar to CoreOS, as it comes with a Docker daemon, but it is integrated with the AWS infrastructure for sharing configuration and triggering events.

An ECS cluster deployment is composed of many elements:

  • An Elastic Load Balancer (in EC2) to distribute the requests among the instance
  • A Task Definition, which is used to determine which Docker image needs to be deployed, and what ports should be bound between the host and the container
  • A Service, which uses the Task Definition to drive the creation of EC2 instances, and run the Docker container in them
  • A Cluster, which groups Services, Task Definitions, and an ELB

Deploying a cluster on ECS when you are not used to it is complex...

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