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

Adding support for AWS X-Ray to applications


Before we can use the AWS X-Ray service, your applications need to support collecting and publishing tracing information to the X-Ray service. The X-Ray software development kit (SDK) includes support for a variety of programming languages and popular application frameworks, including Python and Django, which both power the todobackend application.

You can locate the appropriate SDK documentation for your language of choice at https://aws.amazon.com/documentation/xray/, but for our use case, https://docs.aws.amazon.com/xray-sdk-for-python/latest/reference/frameworks.html provides the relevant information on how to configure Django to automatically create traces for each incoming request to your application.

In the todobackend repository, you first need to add the X-Ray SDK package to the src/requirements.txt file, which will ensure that the SDK is installed alongside the other dependencies of the todobackend application:

Django==2.0
django-cors-headers...