Artifact Registry creation in GCP - Mini Project: Build & Apply

Artifact Registry creation

📖 Scenario: You are setting up a secure place in Google Cloud to store your software packages. This place is called an Artifact Registry. It helps you keep your code packages safe and organized.

🎯 Goal: Create an Artifact Registry repository in Google Cloud with the right settings so you can store Docker images.

📋 What You'll Learn

Create a variable called project_id with your Google Cloud project ID as a string.

Create a variable called location with the region us-central1 as a string.

Create a dictionary called repository_config with keys repository_id set to my-docker-repo and format set to DOCKER.

Use the Google Cloud Python client library to create an Artifact Registry repository with the above settings.

Set the repository to be private by default.

💡 Why This Matters

🌍 Real World

Artifact Registry is used to store and manage software packages securely in Google Cloud. This project shows how to create a repository to hold Docker images, which is common in real-world cloud deployments.

💼 Career

Knowing how to create and manage Artifact Registry repositories is important for cloud engineers and developers working with containerized applications and CI/CD pipelines.

1

Set up project and location variables

Create a variable called project_id and set it to the string "my-gcp-project". Then create a variable called location and set it to the string "us-central1".

GCP

# Create variables project_id and location
# Your code here

Need a hint?

Use simple assignment to create the variables with the exact strings.

2

Create repository configuration dictionary

Create a dictionary called repository_config with the keys repository_id set to "my-docker-repo" and format set to "DOCKER".

GCP

project_id = "my-gcp-project"
location = "us-central1"
# Create repository_config dictionary
# Your code here

Need a hint?

Use curly braces to create the dictionary with the exact keys and values.

3

Import client and prepare repository creation

Import ArtifactRegistryClient from google.cloud.artifactregistry_v1. Then create a client instance called client. Use the repository_config dictionary to prepare a repository creation request with the repository ID and format.

GCP

project_id = "my-gcp-project"
location = "us-central1"
repository_config = {
    "repository_id": "my-docker-repo",
    "format": "DOCKER"
}
# Import ArtifactRegistryClient and create client instance
# Your code here

Need a hint?

Use the import statement exactly as shown and create the client instance with no arguments.

4

Create the Artifact Registry repository

Use the client to call create_repository with the parent path built from project_id and location. Pass a repository object with name set to the full repository path, format from repository_config, and description set to "Docker repository". This will create a private Docker repository.

GCP

from google.cloud.artifactregistry_v1 import ArtifactRegistryClient

project_id = "my-gcp-project"
location = "us-central1"
repository_config = {
    "repository_id": "my-docker-repo",
    "format": "DOCKER"
}

client = ArtifactRegistryClient()
# Create the repository using client.create_repository
# Your code here

Need a hint?

Use the full parent path and repository name. Call operation.result() to wait for creation.