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Google Cloud Container Registry

Storing container images in GCP.
The GCP container registry is a container registry flavor that comes built-in with ZenML and uses the Google Artifact Registry or the Google Container Registry to store container images.

When to use it

You should use the GCP container registry if:
  • one or more components of your stack need to pull or push container images.
  • you have access to GCP. If you're not using GCP, take a look at the other container registry flavors.

How to deploy it

The GCP container registry (and GCP integration in general) currently only works for Python versions <3.11. The ZenML team is aware of this dependency clash/issue and is working on a fix. For now, please use Python <3.11 together with the GCP integration.
Google Container Registry
Google Artifact Registry
When using the Google Container Registry, all you need to do is enable it here.
When using the Google Artifact Registry, you need to:
  • enable it here
  • go here and create a Docker repository.

Infrastructure Deployment

A GCP Container Registry can be deployed directly from the ZenML CLI:
zenml container-registry deploy gcp_container_registry --flavor=gcp --provider=gcp ...
You can pass other configurations specific to the stack components as key-value arguments. If you don't provide a name, a random one is generated for you. For more information about how to work use the CLI for this, please refer to the dedicated documentation section.

How to find the registry URI

Google Container Registry
Google Artifact Registry
When using the Google Container Registry, the GCP container registry URI should have one of the following formats:
gcr.io/<PROJECT_ID>
# or
us.gcr.io/<PROJECT_ID>
# or
eu.gcr.io/<PROJECT_ID>
# or
asia.gcr.io/<PROJECT_ID>
# Examples:
gcr.io/zenml
us.gcr.io/my-project
asia.gcr.io/another-project
To figure out the URI for your registry:
  • Go to the GCP console.
  • Click on the dropdown menu in the top left to get a list of available projects with their names and IDs.
  • Use the ID of the project you want to use fill in the template gcr.io/<PROJECT_ID> and get your URI (You can also use the other prefixes <us/eu/asia>.gcr.io as explained above if you want your images stored in a different region).
When using the Google Artifact Registry, the GCP container registry URI should have the following format:
<REGION>-docker.pkg.dev/<PROJECT_ID>/<REPOSITORY_NAME>
# Examples:
europe-west1-docker.pkg.dev/zenml/my-repo
southamerica-east1-docker.pkg.dev/zenml/zenml-test
asia-docker.pkg.dev/my-project/another-repo
To figure out the URI for your registry:
  • Go here and select the repository that you want to use to store Docker images. If you don't have a repository yet, take a look at the deployment section.
  • On the top, click the copy button to copy the full repository URL.

Infrastructure Deployment

A GCP Container Registry can be deployed directly from the ZenML CLI:
zenml container-registry deploy gcp_container_registry --flavor=gcp --provider=gcp ...
You can pass other configurations specific to the stack components as key-value arguments. If you don't provide a name, a random one is generated for you. For more information about how to work use the CLI for this, please refer to the dedicated documentation section.

How to use it

To use the GCP container registry, we need:
  • Docker installed and running.
  • The registry URI. Check out the previous section on the URI format and how to get the URI for your registry.
We can then register the container registry and use it in our active stack:
zenml container-registry register <NAME> \
--flavor=gcp \
--uri=<REGISTRY_URI>
# Add the container registry to the active stack
zenml stack update -c <NAME>
You also need to set up authentication required to log in to the container registry.

Authentication Methods

Integrating and using a GCP Container Registry in your pipelines is not possible without employing some form of authentication. If you're looking for a quick way to get started locally, you can use the Local Authentication method. However, the recommended way to authenticate to the GCP cloud platform is through a GCP Service Connector. This is particularly useful if you are configuring ZenML stacks that combine the GCP Container Registry with other remote stack components also running in GCP.
Local Authentication
GCP Service Connector (recommended)
This method uses the Docker client authentication available in the environment where the ZenML code is running. On your local machine, this is the quickest way to configure a GCP Container Registry. You don't need to supply credentials explicitly when you register the GCP Container Registry, as it leverages the local credentials and configuration that the GCP CLI and Docker client store on your local machine. However, you will need to install and set up the GCP CLI on your machine as a prerequisite, as covered in the GCP CLI documentation, before you register the GCP Container Registry.
With the GCP CLI installed and set up with credentials, we'll need to configure Docker, so it can pull and push images:
  • for a Google Container Registry:
    gcloud auth configure-docker
  • for a Google Artifact Registry:
    gcloud auth configure-docker <REGION>-docker.pkg.dev
Stacks using the GCP Container Registry set up with local authentication are not portable across environments. To make ZenML pipelines fully portable, it is recommended to use a GCP Service Connector to link your GCP Container Registry to the remote GCR registry.
To set up the GCP Container Registry to authenticate to GCP and access a GCR registry, it is recommended to leverage the many features provided by the GCP Service Connector such as auto-configuration, local login, best security practices regarding long-lived credentials and reusing the same credentials across multiple stack components.
The GCP Service Connector does not support the Google Artifact Registry yet. If you need to connect your GCP Container Registry to a Google Artifact Registry, you can use the Local Authentication method instead.
If you don't already have a GCP Service Connector configured in your ZenML deployment, you can register one using the interactive CLI command. You have the option to configure a GCP Service Connector that can be used to access a GCR registry or even more than one type of GCP resource:
zenml service-connector register --type gcp -i
A non-interactive CLI example that leverages the GCP CLI configuration on your local machine to auto-configure a GCP Service Connector targeting a GCR registry is:
zenml service-connector register <CONNECTOR_NAME> --type gcp --resource-type docker-registry --auto-configure
Example Command Output
$ zenml service-connector register gcp-zenml-core --type gcp --resource-type docker-registry --auto-configure
⠸ Registering service connector 'gcp-zenml-core'...
Successfully registered service connector `gcp-zenml-core` with access to the following resources:
┏━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━┓
┃ RESOURCE TYPE │ RESOURCE NAMES ┃
┠────────────────────┼───────────────────┨
┃ 🐳 docker-registry │ gcr.io/zenml-core ┃
┗━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━┛
Alternatively, you can configure a GCP Service Connector through the ZenML dashboard, but you'll need to provide GCP credentials explicitly, such as a GCP service account key:
GCP Service Connector Type
GCP GCR Service Connector Configuration
Note: Please remember to grant the entity associated with your GCP credentials permissions to read and write to your GCR registry. For a full list of permissions required to use a GCP Service Connector to access a GCR registry, please refer to the GCP Service Connector GCR registry resource type documentation or read the documentation available in the interactive CLI commands and dashboard. The GCP Service Connector supports many different authentication methods with different levels of security and convenience. You should pick the one that best fits your use-case.
If you already have one or more GCP Service Connectors configured in your ZenML deployment, you can check which of them can be used to access the GCR registry you want to use for your GCP Container Registry by running e.g.:
zenml service-connector list-resources --connector-type gcp --resource-type docker-registry
Example Command Output
The following 'docker-registry' resources can be accessed by 'gcp' service connectors configured in your workspace:
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━┓
┃ CONNECTOR ID │ CONNECTOR NAME │ CONNECTOR TYPE │ RESOURCE TYPE │ RESOURCE NAMES ┃
┠──────────────────────────────────────┼──────────────────┼────────────────┼────────────────────┼───────────────────┨
┃ ffc01795-0c0a-4f1d-af80-b84aceabcfcf │ gcp-implicit │ 🔵 gcp │ 🐳 docker-registry │ gcr.io/zenml-core ┃
┠──────────────────────────────────────┼──────────────────┼────────────────┼────────────────────┼───────────────────┨
┃ 561b776a-af8b-491c-a4ed-14349b440f30 │ gcp-zenml-core │ 🔵 gcp │ 🐳 docker-registry │ gcr.io/zenml-core ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━┛
After having set up or decided on a GCP Service Connector to use to connect to the target GCR registry, you can register the GCP Container Registry as follows:
# Register the GCP container registry and reference the target GCR registry URI
zenml container-registry register <CONTAINER_REGISTRY_NAME> -f gcp \
--uri=<REGISTRY_URL>
# Connect the GCP container registry to the target GCR registry via a GCP Service Connector
zenml container-registry connect <CONTAINER_REGISTRY_NAME> -i
A non-interactive version that connects the GCP Container Registry to a target GCR registry through a GCP Service Connector:
zenml container-registry connect <CONTAINER_REGISTRY_NAME> --connector <CONNECTOR_ID>
Linking the GCP Container Registry to a Service Connector means that your local Docker client is no longer authenticated to access the remote registry. If you need to manually interact with the remote registry via the Docker CLI, you can use the local login Service Connector feature to temporarily authenticate your local Docker client to the remote registry:
zenml service-connector login <CONNECTOR_NAME> --resource-type docker-registry
Example Command Output
$ zenml service-connector login gcp-zenml-core --resource-type docker-registry
⠋ Attempting to configure local client using service connector 'gcp-zenml-core'...
WARNING! Your password will be stored unencrypted in /home/stefan/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
The 'gcp-zenml-core' Docker Service Connector connector was used to successfully configure the local Docker/OCI container registry client/SDK.
Example Command Output
$ zenml container-registry connect gcp-zenml-core --connector gcp-zenml-core
Successfully connected container registry `gcp-zenml-core` to the following resources:
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━━━━━━━━━━┓
┃ CONNECTOR ID │ CONNECTOR NAME │ CONNECTOR TYPE │ RESOURCE TYPE │ RESOURCE NAMES ┃
┠──────────────────────────────────────┼────────────────┼────────────────┼────────────────────┼───────────────────┨
┃ 561b776a-af8b-491c-a4ed-14349b440f30 │ gcp-zenml-core │ 🔵 gcp │ 🐳 docker-registry │ gcr.io/zenml-core ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━━━━━━━┛
A similar experience is available when you configure the GCP Container Registry through the ZenML dashboard:
GCP Container Registry Configuration
As a final step, you can use the GCP Container Registry in a ZenML Stack:
# Register and set a stack with the new container registry
zenml stack register <STACK_NAME> -c <CONTAINER_REGISTRY_NAME> ... --set
For more information and a full list of configurable attributes of the GCP container registry, check out the API Docs .
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