Lab Overview
Docker has taken DevOps by storm and ignited interest in containers. Containers offer many of the benefits of virtual machines, but in a much more efficient, less resource-intensive system. Containers allow you to package up an application in an isolated environment that can be executed across machines in a reproducible manner. No more "well, it worked on my machine" syndrome when you leverage Docker for your application development and deployment.
Until recently, Docker has been limited to running Linux containers, but now Docker is making waves into Windows circles. Microsoft's improvements to containerize Windows has allowed Windows 10 and Windows Server 2016 to run Docker Windows containers. All the benefits of containers now for Windows! Examples of popular Windows applications available as containers on Windows include: IIS web server, SQL Server database, and .NET applications.
In this lab you will get up and running with Docker on Windows using a Microsoft Azure virtual machine. You will work with images from the public Docker registry, and create several images to create containers from.
Lab Objectives
Upon completion of this lab you will be able to:
- Use Docker on Windows
- Create Windows container images for:
- IIS web sites
- .NET applications
- Python applications
- Understand the options for Windows base images
Lab Prerequisites
You should be familiar with the following:
- What containers are
- Working at the command line in Windows
- Using a Remote Desktop client installed on your machine
Lab Environment
Before completing the lab instructions the environment will look as follows:
After completing the lab instructions the environment should look similar to:
Updates
May 26th, 2023 - Resolved environment error and flask advisor app issue
September 7th, 2021 - Updated to use the latest image names for docker hub and updated content to reflect the changes to the image name
February 4th, 2020 - Updated to use the latest Windows Server 2019 with Containers image and updated content
May 17th, 2018 - Improved Lab startup performance and robustness
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.