Starting a Linux Virtual Machine on Google Compute Engine

Lab Steps

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Signing In to the Google Cloud Console
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Configuring and Launching a Linux VM on GCE
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Connecting to the Virtual Machine with a Browser-Based SSH Connection
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Deleting the Linux Compute Engine VM

The hands-on lab is part of these learning paths

Google Professional Cloud Developer Exam Preparation
course-steps
13
certification
1
lab-steps
13
Google Associate Cloud Engineer Exam Preparation
course-steps
11
certification
1
lab-steps
11

Ready for the real environment experience?

DifficultyBeginner
Time Limit45m
Students143
Ratings
4/5
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Description

Google Cloud Compute Engine is one of the most popular services offered by Google. It allows you to create, handle, and manage virtual machines. Compute Engine offers a variety of different virtual machines depending on the workload you need to maintain. There are VMs for high memory workload; VMs for high CPU workload and VMs designed to be used for high I/O operations. The big advantage of using Compute Engine VMs is that whether you can't find a VM type that suits your needs, you can create one with custom CPUs and memory size. Compute Engine also allows you to create a group of VMs to meet the scaling requirements.

In this lab, you will create a Linux compute engine VM, and you will SSH into the instance by using the browser-based connection.

Learning Objectives

Upon completion of this lab you will be able to:

  • Create a Linux Compute Engine VM
  • Connect to the VM by using the browser-based connection

Intended Audience

This lab is intended for:

  • Google Cloud Associate Cloud Engineer (ACE) certification candidates
  • Cloud engineers who are interested in creating and handling a compute engine VM
  • Individuals who want to start a VM in the Google Cloud environment
Environment before
PREVIEW
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Environment after
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About the Author
Students11156
Labs36
Learning paths2

Stefano studies Computer Science and is passionate about technology. He loves working with Cloud services and learning all the best practices for them. Google Cloud Platform and Amazon Web Services are the cloud providers he prefers. He is a Google Cloud Certified Associate Cloud Engineer. Node.js is the programming language he always uses to code. When he's not involved in studying or working, Stefano loves riding his motorbike and exploring new places.