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

Summary


In this chapter, you created a comprehensive auto scaling solution that allows you to auto scale your ECS services and applications in response to application load and customer demand, and at the same time ensures your underlying ECS cluster has sufficient resources to deploy new ECS tasks as required. 

You first learned about key ECS resources including CPU, memory, network ports and network interfaces, and how ECS allocates these resources. When managing the ECS cluster capacity, these resources determine whether or not an ECS container instance can run a given ECS task, so it is critical that you understand how each resource is consumed. 

You next implemented an ECS cluster-capacity management solution that calculates the ECS cluster capacity whenever an ECS container instance state change occurs. ECS publishes theses state changes via CloudWatch events, and you created a CloudWatch event rule that triggers a Lambda function that calculates the current cluster capacity. This function...