Google Cloud CLI documentation

Google Cloud CLI documentation

Overview

Training and tutorials

Use cases

Videos

The Google Cloud CLI is a set of tools that you can use to manage resources and applications hosted on Google Cloud. These tools include the gcloud, gsutil, and bq command-line tools. Learn more or try the cheat sheet.

Guides

• Quickstart: Install Google Cloud SDK

• Installing the gcloud CLI

• The gcloud CLI cheat sheet

• gcloud CLI overview

• Initializing the gcloud CLI

• Managing gcloud CLI components

• Managing gcloud CLI properties

• Scripting gcloud CLI commands

• More  

Reference

• gcloud config set

• gcloud auth activate-service-account

• gcloud auth login

• gcloud app deploy

• gcloud functions deploy

• gcloud compute ssh

• gcloud auth application-default login

• gcloud container clusters get-credentials

• gcloud compute scp

• More  

Resources

• Getting support

• Release notes

• More  

Training and tutorials

Try gcloud CLI tutorials, courses, and self-paced training from Google Cloud Skills Boost.

Codelab

Getting started with Cloud Shell and the gcloud CLI

Create and connect to a virtual machine with the gcloud CLI.

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Tutorial

Filtering and formatting with the gcloud CLI

Filter and format flags with your gcloud commands in order to produce meaningful results.

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Training

Configuring IAM permissions with the gcloud CLI

Create and manage Cloud Identity and Access Management (IAM) configurations with the gcloud CLI.

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Codelab

Building a Serverless Data Pipeline: IoT to Analytics

Build a weather data pipeline and get familiar with Google Cloud, using an Internet of Things (IoT) device, the glcoud CLI, and a few handy Google Cloud services.

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Use cases

Explore use cases, reference architectures, whitepapers, best practices, and industry solutions.

Use case

Google Cloud overview

Understand the overall landscape and commonly used features of Google Cloud.

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Case study

A machine learning pipeline for virtual material testing

A high-level description of how Quantiphi used BigQuery to handle, clean, and transform large sensor data files and training ML classifiers using the TensorFlow Estimator API on Compute Engine.

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Use case

Set up CI/CD with Spinnaker and Binary Authorization

Perform continuous integration and continuous delivery to a Kubernetes cluster using Cloud Build for building images, Spinnaker for continuous deployment, and Binary Authorization with keys hosted in Cloud Key Management Service.

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Videos

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