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 learned how to deploy Docker applications using the AWS Fargate service. To make things more interesting, you also learned how you can leverage ECS service discovery to automatically publish service reachability information for your application endpoints, which is an alternative to the more traditional approach of publishing your application endpoints behind a load balancer. And, to cap off what I'm sure you found to be a fun and interesting chapter, you added support for the AWS X-Ray service to the todobackend application and deployed an X-Ray daemon service, using Fargate to capture application traces.

First, you learned how to add support for X-Ray to a Python Django application, which simply requires you to add an X-Ray middleware component that intercepts incoming requests, and to also patch support packages, such as the mysql-connector-python and boto3 libraries, which allows you to capture MySQL database calls and any AWS service calls that your application...