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Docker on Amazon Web Services
Docker on Amazon Web Services

Docker on Amazon Web Services: Build, deploy, and manage your container applications at scale

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Docker on Amazon Web Services

Building Applications Using Docker

In the previous chapter, you were introduced to the sample application, and you were able to download and run the application locally. At present, your development environment is set up for local development; however, before you can get your application to production, you need to be able to package up your application and all of its dependencies, ensure the target production environment has the correct supporting operating system libraries and configuration, select an appropriate web server to host your application, and have a mechanism to be able to package this all together, ideally in a self-contained artifact that requires minimal external configuration. Traditionally, all of this has been very difficult to achieve reliably and consistently but this is where Docker has changed the landscape dramatically. With Docker and supporting...

Technical requirements

Testing and building the application using Docker

In the previous chapter, you gained a good understanding of what the sample application is, and how to test and run the application in your local development environment. You are now ready to start creating a Docker workflow that will test, build, and package your application into a Docker image.

It is important to understand that whenever you are packaging an application into a Docker image, the best-practice approach is to reduce or eliminate all development and test dependencies from your final packaged application. By my own convention, I refer to this packaged application—free of test and development dependencies—as a release image, which supports the paradigm of continuous delivery, where every successful build should be a release candidate that is able to be published to production if required.

To...

Testing and building the application using Docker Compose

In the previous section, you used Docker commands to perform the following tasks:

  • Build a test image
  • Run tests
  • Build a release image
  • Run the application

Each time we ran a Docker command, we had to supply quite a bit of configuration, and trying to remember the various commands that you need to run is already starting to become difficult. In addition to this, we also discovered that to start the release image for the application, we need to have an operational external database.  For local testing use cases, running an external database in another container is an excellent approach, but having to orchestrate this by running a series of Docker commands with lots of different input parameters very quickly becomes difficult to manage.

Docker Compose is a tool that allows you to orchestrate multi-container environments...

Automating the workflow

At this point, you have managed to successfully configure Docker Compose to build, test, and create a working local environment for the sample application, complete with MySQL database integration and acceptance tests.  You can now stand up this environment with a handful of commands, but even though using Docker Compose has significantly simplified the commands you need to run, it is still difficult to remember which commands to use and in which order. Ideally we want a single command to run the complete workflow, and this is where a tool such as GNU Make is very useful.

Make has been around a long time, and is still considered the build tool of choice for many C and C++ applications. Task automation is a key feature of Make, and the ability to define tasks or targets in a simple format that can be invoked with a single command has made...

Summary

In this chapter, you implemented a Docker workflow that tests, builds, and packages your application into a Docker image that is ready to publish and deploy to production. You learned how you can build your application in two stages using Docker multi-stage builds—the test stage uses a development environment complete with development libraries and source compilation tools that allows you to build and test your application and its dependencies in precompiled packages, while the release stage takes those built packages and installs them into a production-ready operating environment, free of development libraries and other tools, significantly reducing the attack surface of your application.

You learned how you to use Docker Compose to help simplify the various commands and actions you need to perform during the test and release stages, creating a docker-compose.yml...

Questions

  1. True/false: You use the FROM and TO directives to define a multi-stage Dockerfile.
  2. True/false: The docker command --rm flag automatically deletes a container after it has exited.

 

  1. True/false: When you run your workflow, you should only build application artifacts once.
  2. True/false: When running the docker-compose run command with no additional flags, if the targeted services started fails with an error, docker-compose will exit with a non-zero code.
  3. True/false: When running the docker-compose up command with no additional flags, if one of the services started fails with an error, docker-compose will exit with a non-zero code.
  4. True/false: You should configure a Docker Compose version of 3.x if you want to use Docker Swarm.
  5. You configure the service_healthy condition on a dependency of a service in your Docker file.  Then you run the service using...

Further reading

You can check the following links for more information about the topics covered in this chapter:

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Key benefits

  • Configure Docker for the ECS environment
  • Integrate Docker with different AWS tools
  • Implement container networking and deployment at scale

Description

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.

Who is this book for?

Docker on Amazon Web Services is for you if you want to build, deploy, and operate applications using the power of containers, Docker, and Amazon Web Services. Basic understanding of containers and Amazon Web Services or any other cloud provider will be helpful, although no previous experience of working with these is required.

What you will learn

  • Build, deploy, and operate Docker applications using AWS
  • Solve key operational challenges, such as secrets management
  • Exploit the powerful capabilities and tight integration of other AWS services
  • Design and operate Docker applications running on ECS
  • Deploy Docker applications quickly, consistently, and reliably using IaC
  • Manage and operate Docker clusters and applications for no additional cost

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2018
Length: 822 pages
Edition : 1st
Language : English
ISBN-13 : 9781788622721
Vendor :
Docker
Tools :

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Product Details

Publication date : Aug 30, 2018
Length: 822 pages
Edition : 1st
Language : English
ISBN-13 : 9781788622721
Vendor :
Docker
Tools :

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Table of Contents

19 Chapters
Container and Docker Fundamentals Chevron down icon Chevron up icon
Building Applications Using Docker Chevron down icon Chevron up icon
Getting Started with AWS Chevron down icon Chevron up icon
Introduction to ECS Chevron down icon Chevron up icon
Publishing Docker Images Using ECR Chevron down icon Chevron up icon
Building Custom ECS Container Instances Chevron down icon Chevron up icon
Creating ECS Clusters Chevron down icon Chevron up icon
Deploying Applications Using ECS Chevron down icon Chevron up icon
Managing Secrets Chevron down icon Chevron up icon
Isolating Network Access Chevron down icon Chevron up icon
Managing ECS Infrastructure Life Cycle Chevron down icon Chevron up icon
ECS Auto Scaling Chevron down icon Chevron up icon
Continuously Delivering ECS Applications Chevron down icon Chevron up icon
Fargate and ECS Service Discovery Chevron down icon Chevron up icon
Elastic Beanstalk Chevron down icon Chevron up icon
Docker Swarm in AWS Chevron down icon Chevron up icon
Elastic Kubernetes Service Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2
(5 Ratings)
5 star 80%
4 star 0%
3 star 0%
2 star 0%
1 star 20%
Daniel Aboyewa Dec 07, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very informative
Amazon Verified review Amazon
R. Langham Jan 24, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I routinely read development books, and this is one the best that I have read. It is very complete and goes into a lot of detail. It it went into areas of ECS that I had not expected, such as being able to create your own custom EC2 image for the ECS docker EC2 instances. The first few chapters are review of general aws and docker. Skipped them at first, but then went back to them after completing reading most of the other chapters. I learned a few new things there.One of the nice things the book does initially is cover how to do the ECS operations in the aws console, command line, and cloudformation. Eventually, as your progress thru the chapters, it ends up being mostly cloudformation. This was a big plus for me as for my work we deploy all infrastructure using cloudformation. I recommended the book to a couple of others at work.
Amazon Verified review Amazon
Amazon Customer Sep 25, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a well structured and well written guide to deploying dockerized apps on AWS - it gives a good overview of the tools available and also detailed guidance on how to use each - its well written and very comprehensive (700 + pages). There are an almost bewildering variety of tools and techniques available when creating infrastructure as code and this book does a good job of giving an organized view of them and suggesting best practices.
Amazon Verified review Amazon
Constantine Sep 24, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a must if you want to learn how to deploy scalable applications using AWS container services. It is a step by step guide to everything from creating your IAM policies to setting up auto scaling. The amount of information in this book is pretty ridiculous.
Amazon Verified review Amazon
Nick from Chicago Jul 26, 2020
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
This seems like a comprehensive book, however the code is outdated and does not work. Chapter one had an issue that I was able to work around, now I'm on chapter 2 and again running into code that's not working. There is a github repo with the code from the book, however it appears that hasn't been updated in the past couple of years, and contains the same out of date code from the book. And the problem is each chapter has a prerequisite that the previous chapter was completed, so, if the code for one particular chapter isn't working, you can't continue on to any subsequent chapters.
Amazon Verified review Amazon
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