• Stars
    star
    697
  • Rank 64,937 (Top 2 %)
  • Language
    Dockerfile
  • License
    Apache License 2.0
  • Created over 10 years ago
  • Updated about 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Google Cloud CLI Docker Image - Docker Image containing the gcloud CLI and its bundled components.

Google Cloud CLI Docker

The Google Cloud CLI Docker Images (comprising the :latest, :slim, :alpine, :emulators, and :debian_component_based images located within this repository) are a set of images enabling the usage of the Google Cloud CLI as well as its bundled components.

The :latest tag is Debian-based and includes default command line tools of Google Cloud CLI (gcloud, gsutil, bq) as well several additional components.

Repositories

The Google Cloud CLI Docker Image is hosted on Container Registry.

The full repository name for Container Registry is gcr.io/google.com/cloudsdktool/google-cloud-cli.

Supported tags

  • :latest, :VERSION: (large image with additional components pre-installed, Debian-based)
  • :slim, :VERSION-slim: (smaller image with no components pre-installed, Debian-based)
  • :alpine, :VERSION-alpine: (smallest image with no additional components installed, Alpine-based)
  • :debian_component_based, :VERSION-debian_component_based: (Similar to :latest but component installer based)
  • :emulators, :VERSION: (as small as possible with all the emulators)

โ†’ Check out Container Registry for available tags.

Usage

To use this image, pull from Container Registry and then run the following command:

docker pull gcr.io/google.com/cloudsdktool/google-cloud-cli:latest

Verify the install

docker run gcr.io/google.com/cloudsdktool/google-cloud-cli:latest gcloud version
Google Cloud CLI 368.0.0

or use a particular version number:

docker run gcr.io/google.com/cloudsdktool/google-cloud-cli:368.0.0 gcloud version

You can authenticate gcloud with your user credentials by running gcloud auth login:

docker run -ti --name gcloud-config gcr.io/google.com/cloudsdktool/google-cloud-cli gcloud auth login

If you need to authenticate any program that uses the Google Cloud APIs, you need to pass the --update-adc option:

docker run -ti --name gcloud-config gcr.io/google.com/cloudsdktool/google-cloud-cli gcloud auth login --update-adc

If you want to use a specific project for future uses, you can set this inside the gcloud-config container:

docker run -ti --name gcloud-config gcr.io/google.com/cloudsdktool/google-cloud-cli /bin/bash -c 'gcloud auth login && gcloud config set project your-project'

Once you authenticate successfully, credentials are preserved in the volume of the gcloud-config container.

To list compute instances using these credentials, run the container with --volumes-from:

docker run --rm --volumes-from gcloud-config gcr.io/google.com/cloudsdktool/google-cloud-cli gcloud compute instances list --project your_project
NAME        ZONE           MACHINE_TYPE   PREEMPTIBLE  INTERNAL_IP  EXTERNAL_IP      STATUS
instance-1  us-central1-a  n1-standard-1               10.240.0.2   8.34.219.29      RUNNING

โš ๏ธ Warning: The gcloud-config container now has a volume containing your Google Cloud credentials. Do not use gcloud-config volume in other containers.

Alternatively, you can use auth/credential_file_override property to set a path to a mounted service account and then the config to read that using CLOUDSDK_CONFIG environment variable.

for example, mycloud configuration below has the auth/credential_file_override already set and points towards a certificate file that will be present within the container as a separate volume mount.

See issue#152

$ docker run -ti -e CLOUDSDK_CONFIG=/config/mygcloud \
                 -v `pwd`/mygcloud:/config/mygcloud \
                 -v `pwd`:/certs  gcr.io/google.com/cloudsdktool/google-cloud-cli:alpine /bin/bash

bash-4.4# gcloud config list
[auth]
credential_file_override = /certs/svc_account.json

bash-4.4# head -10  /certs/svc_account.json
{
  "type": "service_account",
  "project_id": "project_id1",
....

bash-4.4# gcloud projects list
PROJECT_ID           NAME         PROJECT_NUMBER
project_id1          GCPAppID     1071284184432

You can set any Cloud SDK property via an ENV, please read and here.

Components Installed in Each Tag

Component :latest :alpine :slim :debian_component_based :emulators
App Engine Go Extensions x x
Appctl x
Artifact Registry Go Module Package Helper
BigQuery Command Line Tool x x x x x
Bundled Python 3.9 x x x x x
Cloud Bigtable Command Line Tool x x
Cloud Bigtable Emulator x x x
Cloud Datastore Emulator x x x
Cloud Firestore Emulator x x
Cloud Pub/Sub Emulator x x x
Cloud Run Proxy
Cloud SQL Proxy
Cloud Spanner Emulator x x
Cloud Spanner Migration Tool
Cloud Storage Command Line Tool x x x x x
Google Cloud CLI Core Libraries x x x x x
Google Cloud CRC32C Hash Tool x x x x x
Google Container Registry's Docker credential helper
Kustomize x
Log Streaming
Minikube x
Nomos CLI x
On-Demand Scanning API extraction helper x x
Skaffold x
Terraform Tools
anthos-auth x
config-connector
gcloud Alpha Commands x x x
gcloud Beta Commands x x x x
gcloud app Java Extensions x x
gcloud app Python Extensions x x
gcloud app Python Extensions (Extra Libraries) x x
gke-gcloud-auth-plugin x x
kpt x x
kubectl x x
kubectl-oidc
pkg

Installing additional components

Debian-based images

cd debian_slim/
docker build --build-arg CLOUD_SDK_VERSION=159.0.0 \
    --build-arg INSTALL_COMPONENTS="google-cloud-sdk-datastore-emulator" \
    -t my-cloud-sdk-docker:slim .

Alpine-based images

To install additional components for Alpine-based images, create a Dockerfile that uses the cloud-sdk image as the base image. For example, to add kubectl and app-engine-java components:

FROM gcr.io/google.com/cloudsdktool/google-cloud-cli:alpine
RUN apk --update add openjdk7-jre
RUN gcloud components install app-engine-java kubectl

and run:

docker build -t my-cloud-sdk-docker:alpine .

Note that in this case, you have to install dependencies of additional components manually.

Installing different version of gcloud sdk:

docker build -t my-cloud-sdk-docker:alpine --build-arg CLOUD_SDK_VERSION=<release_number> .

Legacy image (Google App Engine based)

The original image in this repository was based off of

FROM gcr.io/google_appengine/base

The full Dockerfile for that can be found here for archival as well as in image tag google/cloud-sdk-docker:legacy

Cloud SDK Release Tracking

You can also follow the Cloud SDK Release schedule here

Support

The Google Cloud CLI Team works to ensure that the images within this repository provide fully functional installs of the Google Cloud CLI. This work includes addressing any bugs or issues that prevent the execution of the gcloud command line tool or components installed by default on each image. The team also works to ensure that third party packages necessary for the function of the Google Cloud CLI are using stable release versions, and that base OS images are updated to recent, stable releases in a timely manner.

For workflows separate from or unrelated to the execution of the Cloud CLI that require additional or different dependencies, the Cloud CLI team recommends creating your own image layer on top of the Cloud CLI Docker Image where you can remove and install dependencies as needed. The Cloud CLI Team will not address issues related to workflows or tools unrelated to the execution of the Google Cloud CLI. Similarly, the team will deny requests for additional packages or tooling unrelated to the intended functioning of the Google Cloud CLI.

Identifying Vulnerabilities

If you or your organization have detected vulnerabilities within any of the Cloud CLI Docker Images, please file a bug. Your bug must contain the type of each vulnerability and the exact location within the image where each is present. Vulnerabilities within base OS images will not be addressed beyond ensuring the Cloud CLI Docker images are using recent, stable releases of Debian or Alpine Linux.

Pinning version

Images tagged :latest, :alpine, :slim and :debian_component_based use the most recent version of Google Cloud SDK, which may change its behaviour in the future. List of components installed by default in each image can also change between versions. To avoid such changes breaking the tool you are using, it is not recommended to use these tags in any production tools directly. Instead use a particular version as listed in Supported tags and update it periodically.

More Repositories

1

microservices-demo

Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
Go
16,790
star
2

terraformer

CLI tool to generate terraform files from existing infrastructure (reverse Terraform). Infrastructure to Code
Go
12,352
star
3

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Jupyter Notebook
7,867
star
4

python-docs-samples

Code samples used on cloud.google.com
Jupyter Notebook
7,432
star
5

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Jupyter Notebook
6,517
star
6

golang-samples

Sample apps and code written for Google Cloud in the Go programming language.
Go
4,284
star
7

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Python
2,825
star
8

nodejs-docs-samples

Node.js samples for Google Cloud Platform products.
JavaScript
2,807
star
9

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.
Jupyter Notebook
2,772
star
10

gcsfuse

A user-space file system for interacting with Google Cloud Storage
Go
2,046
star
11

community

Java
1,919
star
12

PerfKitBenchmarker

PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.
Python
1,885
star
13

asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Jupyter Notebook
1,799
star
14

vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Jupyter Notebook
1,659
star
15

java-docs-samples

Java and Kotlin Code samples used on cloud.google.com
Java
1,610
star
16

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns
Jupyter Notebook
1,600
star
17

continuous-deployment-on-kubernetes

Get up and running with Jenkins on Google Kubernetes Engine
Shell
1,582
star
18

cloudml-samples

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Python
1,516
star
19

cloud-foundation-fabric

End-to-end modular samples and landing zones toolkit for Terraform on GCP.
HCL
1,509
star
20

localllm

Python
1,505
star
21

cloud-builders

Builder images and examples commonly used for Google Cloud Build
Go
1,374
star
22

cloud-sql-proxy

A utility for connecting securely to your Cloud SQL instances
Go
1,263
star
23

cloud-builders-community

Community-contributed images for Google Cloud Build
Go
1,258
star
24

berglas

A tool for managing secrets on Google Cloud
Go
1,236
star
25

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Jupyter Notebook
1,230
star
26

kubernetes-engine-samples

Sample applications for Google Kubernetes Engine (GKE)
HCL
1,228
star
27

functions-framework-nodejs

FaaS (Function as a service) framework for writing portable Node.js functions
TypeScript
1,162
star
28

DataflowTemplates

Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Java
1,135
star
29

bigquery-utils

Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
Java
1,117
star
30

cloud-vision

Sample code for Google Cloud Vision
Python
1,097
star
31

bank-of-anthos

Retail banking sample application showcasing Kubernetes and Google Cloud
Java
994
star
32

buildpacks

Builders and buildpacks designed to run on Google Cloud's container platforms
Go
982
star
33

php-docs-samples

A collection of samples that demonstrate how to call Google Cloud services from PHP.
PHP
961
star
34

cloud-foundation-toolkit

The Cloud Foundation toolkit provides GCP best practices as code.
Go
958
star
35

deploymentmanager-samples

Deployment Manager samples and templates.
Jinja
938
star
36

flask-talisman

HTTP security headers for Flask
Python
896
star
37

k8s-config-connector

GCP Config Connector, a Kubernetes add-on for managing GCP resources
Go
891
star
38

gsutil

A command line tool for interacting with cloud storage services.
Python
874
star
39

DataflowJavaSDK

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
857
star
40

nodejs-getting-started

A tutorial for creating a complete application using Node.js on Google Cloud Platform
JavaScript
806
star
41

magic-modules

Add Google Cloud Platform support to Terraform
Go
804
star
42

gcr-cleaner

Delete untagged image refs in Google Container Registry or Artifact Registry
Go
802
star
43

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Jupyter Notebook
797
star
44

metacontroller

Lightweight Kubernetes controllers as a service
Go
790
star
45

awesome-google-cloud

A curated list of awesome stuff for Google Cloud.
777
star
46

mlops-on-gcp

Jupyter Notebook
773
star
47

getting-started-python

Code samples for using Python on Google Cloud Platform
Python
756
star
48

dotnet-docs-samples

.NET code samples used on https://cloud.google.com
C#
736
star
49

click-to-deploy

Source for Google Click to Deploy solutions listed on Google Cloud Marketplace.
Python
729
star
50

iap-desktop

IAP Desktop is a Windows application that provides zero-trust Remote Desktop and SSH access to Linux and Windows VMs on Google Cloud.
C#
708
star
51

tf-estimator-tutorials

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
Jupyter Notebook
671
star
52

functions-framework-python

FaaS (Function as a service) framework for writing portable Python functions
Python
670
star
53

flink-on-k8s-operator

[DEPRECATED] Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
Go
657
star
54

terraform-google-examples

Collection of examples for using Terraform with Google Cloud Platform.
HCL
573
star
55

functions-framework-dart

FaaS (Function as a service) framework for writing portable Dart functions
Dart
535
star
56

cloud-run-button

Let anyone deploy your GitHub repos to Google Cloud Run with a single click
Go
527
star
57

bigquery-oreilly-book

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
Jupyter Notebook
523
star
58

govanityurls

Use a custom domain in your Go import path
Go
518
star
59

ml-on-gcp

Machine Learning on Google Cloud Platform
Python
484
star
60

practical-ml-vision-book

Jupyter Notebook
482
star
61

getting-started-java

Java
478
star
62

ipython-soccer-predictions

Sample iPython notebook with soccer predictions
Jupyter Notebook
473
star
63

monitoring-dashboard-samples

Google Cloud Monitoring Dashboard Samples
TypeScript
471
star
64

covid-19-open-data

Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
Python
471
star
65

ai-platform-samples

Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples
Jupyter Notebook
457
star
66

hackathon-toolkit

GCP Hackathon Toolkit
HTML
440
star
67

gradle-appengine-templates

Freemarker based templates that build with the gradle-appengine-plugin
439
star
68

distributed-load-testing-using-kubernetes

Distributed load testing using Kubernetes on Google Container Engine
Smarty
438
star
69

terraform-validator

Terraform Validator is not an officially supported Google product; it is a library for conversion of Terraform plan data to CAI Assets. If you have been using terraform-validator directly in the past, we recommend migrating to `gcloud beta terraform vet`.
Go
437
star
70

cloud-code-vscode

Cloud Code for Visual Studio Code: Issues, Documentation and more
416
star
71

nodejs-docker

The Node.js Docker image used by Google App Engine Flexible.
TypeScript
407
star
72

cloud-ops-sandbox

Cloud Operations Sandbox is an open source collection of tools that helps practitioners to learn O11y and R9y practices from Google and apply them using Cloud Operations suite of tools.
HCL
405
star
73

professional-services-data-validator

Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Python
403
star
74

k8s-stackdriver

Go
390
star
75

cloud-code-samples

Code templates to make working with Kubernetes feel like editing and debugging local code.
Java
387
star
76

healthcare

Python
374
star
77

require-so-slow

`require`s taking too much time? Profile 'em.
TypeScript
373
star
78

functions-framework-go

FaaS (Function as a service) framework for writing portable Go functions
Go
373
star
79

k8s-multicluster-ingress

kubemci: Command line tool to configure L7 load balancers using multiple kubernetes clusters
Go
372
star
80

compute-image-packages

Packages for Google Compute Engine Linux images.
Python
370
star
81

android-docs-samples

Java
365
star
82

stackdriver-errors-js

Client-side JavaScript exception reporting library for Cloud Error Reporting
JavaScript
358
star
83

applied-ai-engineering-samples

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
Jupyter Notebook
344
star
84

mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Jupyter Notebook
343
star
85

google-cloud-iot-arduino

Google Cloud IOT Example on ESP8266
C++
340
star
86

istio-samples

Istio demos and sample applications for GCP
Shell
331
star
87

ios-docs-samples

iOS samples that demonstrate APIs and services of Google Cloud Platform.
Swift
325
star
88

cloud-code-intellij

Plugin to support the Google Cloud Platform in IntelliJ IDEA - Docs and Issues Repository
319
star
89

security-analytics

Community Security Analytics provides a set of community-driven audit & threat queries for Google Cloud
Python
315
star
90

gke-networking-recipes

Shell
307
star
91

gcping

The source for the CLI and web app at gcping.com
Go
303
star
92

solutions-terraform-cloudbuild-gitops

HCL
301
star
93

spring-cloud-gcp

New home for Spring Cloud GCP development starting with version 2.0.
Java
299
star
94

airflow-operator

Kubernetes custom controller and CRDs to managing Airflow
Go
296
star
95

genai-for-marketing

Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
Jupyter Notebook
296
star
96

elixir-samples

A collection of samples on using Elixir with Google Cloud Platform.
Elixir
291
star
97

gcpdiag

gcpdiag is a command-line diagnostics tool for GCP customers.
Python
288
star
98

kotlin-samples

Kotlin
285
star
99

compute-archlinux-image-builder

A tool to build a Arch Linux Image for GCE
Shell
284
star
100

datalab-samples

Jupyter Notebook
281
star