Build Docker image
Running Windows Containers on Compute Engine
Container virtualization is a fast evolving technology, which aims to simplify the deployment and management of distributed applications. When people discuss containers, they usually mean Linux-based containers. This makes sense, because native Linux kernel features like cgroups introduced the idea of resource isolation, eventually leading to containers as we know them today. Until recently, only Linux processes could be containerized, but Microsoft introduced support for Windows-based containers in Windows Server 2016 and Windows 10.
You can take an existing Windows application, containerize it using Docker, and run it as an isolated container on Windows. There are two flavors of Windows containers: Windows Server and Hyper-V. You can build Windows containers on either the microsoft/windowsservercore and microsoft/nanoserver base images. You can read more about Windows containers in the Microsoft Windows containers documentation.
Google Cloud provides container-optimized VM images on which to run containers on Compute Engine. There is also a Windows VM image for containers. It comes with Docker, microsoft/windowsservercore, and microsoft/nanoserver base images installed.
In this lab you will create a container app and deploy the container app to Compute Engine.
What you'll learn
Create a Windows Server VM for containers on Compute Engine.
Create a HelloWorld Windows container app.
Containerize the app using Docker.
Run the Windows container app on Compute Engine.
Before you click the Start Lab button
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you.
This Qwiklabs hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab.
What you need
To complete this lab, you need:
- Access to a standard internet browser (Chrome browser recommended).
- Time to complete the lab.
Note: If you already have your own personal Google Cloud account or project, do not use it for this lab.
Note: If you are using a Pixelbook, open an Incognito window to run this lab.
How to start your lab and sign in to the Google Cloud Console
Click the Start Lab button. If you need to pay for the lab, a pop-up opens for you to select your payment method. On the left is a panel populated with the temporary credentials that you must use for this lab.
Copy the username, and then click Open Google Console. The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Open the tabs in separate windows, side-by-side.
In the Sign in page, paste the username that you copied from the Connection Details panel. Then copy and paste the password.
Important: You must use the credentials from the Connection Details panel. Do not use your Qwiklabs credentials. If you have your own Google Cloud account, do not use it for this lab (avoids incurring charges).
Click through the subsequent pages:
- Accept the terms and conditions.
- Do not add recovery options or two-factor authentication (because this is a temporary account).
- Do not sign up for free trials.
After a few moments, the Cloud Console opens in this tab.
Inscrivez-vous sur Qwiklabs pour consulter le reste de cet atelier, et bien plus encore.
- Obtenez un accès temporaire à Google Cloud Console.
- Plus de 200 ateliers, du niveau débutant jusqu'au niveau expert.
- Fractionné pour vous permettre d'apprendre à votre rythme.