


Important: You must use the credentials from the left panel. Click Next.Ĭopy the Password from the Lab Details panel and paste it into the Welcome dialog. If necessary, copy the Username from the Lab Details panel and paste it into the Sign in dialog. Note: If you see the Choose an account dialog, click Use Another Account. Tip: Arrange the tabs in separate windows, side-by-side. The lab spins up resources, and then opens another tab that shows the Sign in page.

Note: Use an Incognito or private browser window to run this lab.

Access to a standard internet browser (Chrome browser recommended).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. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. Labs are timed and you cannot pause them. Setup Before you click the Start Lab button What you'll doĬreate a virtual machine with the Cloud Console.Ĭreate a virtual machine with the gcloud command line.ĭeploy a web server and connect it to a virtual machine.įamiliarity with standard Linux text editors such as vim, emacs, or nano will be helpful. You'll also learn how to connect an NGINX web server to your virtual machine.Īlthough you can easily copy and paste commands from the lab to the appropriate place, we recommend that you type the commands yourself to reinforce your understanding of the core concepts. In this hands-on lab, you'll create virtual machine instances of various machine types using the Google Cloud Console and the gcloud command line. You can run thousands of virtual CPUs on a system that is designed to be fast and to offer strong consistency of performance. Compute Engine lets you create virtual machines that run different operating systems, including multiple flavors of Linux (Debian, Ubuntu, Suse, Red Hat, CoreOS) and Windows Server, on Google infrastructure.
