Step-by-Step Guide to Install gcloud Command-Line Tool

Guide to Install gcloud Command-Line Tool & Create/Terminate VM

Installation of gcloud Command-Line Tool

Let me guide how can we install gcloud Command-Line Tool on Windows.

  • Download GCP CLI or SDK using URL: https://cloud.google.com/sdk/docs/install

  • Double click to install SDK

  • Click on Agree

  • and click on next and Install

  • Installation will start

  • Finish the installer

    Configure the CLI with your current GCP account

  • Once you finish the CLI installation, one terminal window will pop-up

  • Once you write "Y" for continue to log in, you will be redirected to your browser for authentication.

  • Choose your Google email id which is associate your GCP account.

  • Click on continue

  • Click on Allow

  • Now, your GCP authentication will be completed and you will be redirected to the terminal. It will show your all projects which are associated with your GCP account.

  • Select default region and zone, write "y"

  • Still, it will ask with you to put the region. So, put the correct number of your region. In my case put 8 for us-central1-a region.

  • Now, your CLI is configured and ready to use

  • To check the CLI version, hit the command: gcloud version

    Create and Terminate the VM using gloud CLI

  • To create the VM using CLI, follow the command:

    gcloud compute instances create karan-gcp-labs --zone us-central1-a --machine-type e2-micro --boot-disk-size 10

  • You can verify on console as:

  • To terminate the instance using CLI:

    gcloud compute instances delete karan-gcp-labs

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Written by

Karan Singh Rajawat
Karan Singh Rajawat

I am a Senior Software Engineer at Cross Country Healthcare. I have 8+ year experience in Infrastructure and CloudOps and three AWS certifications: Cloud Practitioner, Solutions Architect - Associate, and SysOps Administrator - Associate. I started my career as a Service Desk Engineer, where I built a strong foundation in IT support and customer service. I then transitioned to on-premise infrastructure, where I gained valuable experience in diverse technologies and platforms. Inspired by the rapid growth of cloud computing, I specialized in AWS CloudOps.