google-cloud
  1. google-cloud-command-line-tools-gcloud-cli

Google Cloud Command-Line Tools (gcloud CLI)

The gcloud CLI is a set of command-line tools for managing resources on Google Cloud Platform (GCP) from a local machine. With the gcloud CLI, you can create and manage your GCP resources such as Compute Engine instances, Cloud SQL instances, and more.

Steps or Explanation

To use gcloud CLI, follow these steps:

  1. Install the Google Cloud SDK. This installs both the gcloud CLI and other necessary tools.
  2. After installation, run gcloud init to initialize the CLI. This will prompt you to log in to your Google account and select your project.
  3. After initialization, run gcloud followed by the command and its options to manage your GCP resources.

Examples and Use Cases

Here are some examples of using gcloud CLI:

  • Deploy a new Compute Engine instance: gcloud compute instances create my-instance --zone us-central1-a --machine-type n1-standard-1 --image-family debian-9
  • List all Cloud Storage buckets: gcloud storage buckets list
  • Create a new Cloud SQL instance: gcloud sql instances create my-instance --tier=db-f1-micro --region=us-central1

Some use cases for gcloud CLI include:

  • Automating GCP resource creation and management
  • Managing GCP resources across multiple projects and environments
  • Integrating with other automation tools such as Jenkins, Packer, and Terraform

Important Points

  • The gcloud CLI requires authentication with your Google account. Make sure to log in using gcloud auth login before using any gcloud commands.
  • Make sure to select the correct project and set it as the default using gcloud config set project <project-id> before running any commands.
  • You can also use gcloud to interact with the GCP API in your own scripts and applications.

Summary

The gcloud CLI provides a convenient way to manage your GCP resources from a local machine, allowing for automation and integration with other tools. Make sure to properly authenticate and configure the CLI before use, and take advantage of its many capabilities for managing your GCP resources.

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