Artifact Registry is GCP’s managed service for storing and managing container images and other build artifacts.
Here’s a quick look at a typical workflow:
# Authenticate Docker to GCP
gcloud auth configure-docker us-central1-docker.pkg.dev
# Build a Docker image
docker build -t my-app:v1 .
# Tag the image for Artifact Registry
docker tag my-app:v1 us-central1-docker.pkg.dev/my-gcp-project/my-repo/my-app:v1
# Push the image to Artifact Registry
docker push us-central1-docker.pkg.dev/my-gcp-project/my-repo/my-app:v1
# Pull the image from Artifact Registry
docker pull us-central1-docker.pkg.dev/my-gcp-project/my-repo/my-app:v1
Artifact Registry is designed to be a centralized, secure, and scalable solution for your software supply chain. It replaces the older Container Registry service, offering more features and flexibility. The core problem it solves is providing a reliable place to store the immutable artifacts that your applications are built from, ensuring consistency between development, testing, and production environments.
Internally, Artifact Registry leverages Google’s robust infrastructure to provide high availability and durability for your artifacts. When you push an image, it’s stored in a regional or multi-regional repository. Access control is managed through IAM (Identity and Access Management), allowing you to grant specific permissions to users or service accounts for reading, writing, or deleting artifacts. You can also configure vulnerability scanning for your container images directly within Artifact Registry, integrating security checks into your CI/CD pipeline.
The primary levers you control are the repository configuration (regional vs. multi-regional, description, KMS encryption key) and the IAM permissions applied to the repository. You can also set up artifact lifecycle policies to automatically clean up old or unused images, managing storage costs and keeping your registry tidy.
One of the most powerful aspects of Artifact Registry is its integration with other GCP services. For example, you can configure Cloud Build to push directly to an Artifact Registry repository, or have GKE (Google Kubernetes Engine) pull images from it. This tight integration streamlines the deployment process and reduces the complexity of managing image sources. Furthermore, Artifact Registry supports multiple artifact formats beyond Docker images, including Maven, npm, Python, and more, making it a versatile solution for various development workflows.
The next logical step is to explore how to automate image scanning for security vulnerabilities.