Book Image

Docker on Amazon Web Services

By : Justin Menga
Book Image

Docker on Amazon Web Services

By: Justin Menga

Overview of this book

Over the last few years, Docker has been the gold standard for building and distributing container applications. Amazon Web Services (AWS) is a leader in public cloud computing, and was the first to offer a managed container platform in the form of the Elastic Container Service (ECS). Docker on Amazon Web Services starts with the basics of containers, Docker, and AWS, before teaching you how to install Docker on your local machine and establish access to your AWS account. You'll then dig deeper into the ECS, a native container management platform provided by AWS that simplifies management and operation of your Docker clusters and applications for no additional cost. Once you have got to grips with the basics, you'll solve key operational challenges, including secrets management and auto-scaling your infrastructure and applications. You'll explore alternative strategies for deploying and running your Docker applications on AWS, including Fargate and ECS Service Discovery, Elastic Beanstalk, Docker Swarm and Elastic Kubernetes Service (EKS). In addition to this, there will be a strong focus on adopting an Infrastructure as Code (IaC) approach using AWS CloudFormation. By the end of this book, you'll not only understand how to run Docker on AWS, but also be able to build real-world, secure, and scalable container platforms in the cloud.
Table of Contents (26 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Calculating the ECS cluster capacity


Before you can calculate the ECS cluster capacity, you need to have a clear understanding of which resources affect capacity and how you can calculate the current capacity for each resource. Once you have defined this for each individual resource, you then need to apply an aggregate calculation across all resources, which will result in a final calculation of the current capacity.

Calculating capacity can appear to be quite a daunting task, especially when you consider the different types of resources and how they behave:

  • CPU: This is the simplest resource you can work with, as each CPU reservation simply deducts from the available CPU capacity of the cluster.

 

 

  • Memory: Calculating the current capacity of the cluster based upon memory is identical to CPU in that a memory reservation deducts from the available memory capacity of the cluster. As per our earlier discussion in this chapter, how the memory reservation is configured is complicated by the various...