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Docker on Amazon Web Services

You're reading from   Docker on Amazon Web Services Build, deploy, and manage your container applications at scale

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788626507
Length 822 pages
Edition 1st Edition
Tools
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Author (1):
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Justin Menga Justin Menga
Author Profile Icon Justin Menga
Justin Menga
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Table of Contents (20) Chapters Close

Preface 1. Container and Docker Fundamentals FREE CHAPTER 2. Building Applications Using Docker 3. Getting Started with AWS 4. Introduction to ECS 5. Publishing Docker Images Using ECR 6. Building Custom ECS Container Instances 7. Creating ECS Clusters 8. Deploying Applications Using ECS 9. Managing Secrets 10. Isolating Network Access 11. Managing ECS Infrastructure Life Cycle 12. ECS Auto Scaling 13. Continuously Delivering ECS Applications 14. Fargate and ECS Service Discovery 15. Elastic Beanstalk 16. Docker Swarm in AWS 17. Elastic Kubernetes Service 18. Assessments 19. Other Books You May Enjoy

Designing a custom Amazon Machine Image


Before you learn how to build a custom Amazon Machine Image, it is important to understand why you would want or need to build your own custom image.

The reasons for this vary depending on your use case or organizational requirements, however in general there are a number of reasons why you might want to build a custom image:

  • Custom storage configuration: The default ECS-optimized AMI ships with a 30 GB volume that includes 8 GB for the operating system partition and a 22 GB volume for storing Docker images and container filesystems. One aspect of your configuration that I typically recommend to change is that, by default, Docker volumes, which do not use layered filesystems, are stored on the 8 GB operating system partition. This approach generally should be avoided for production use cases, and instead you should mount a dedicated volume for storing Docker volumes.
  • Installation of additional packages and tools: In keeping with the minimalist philosophy...
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