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Container Registries

zenml.container_registries special

Container Registry

A container registry is a store for (Docker) containers. A ZenML workflow involving a container registry would automatically containerize your code to be transported across stacks running remotely. As part of the deployment to the cluster, the ZenML base image would be downloaded (from a cloud container registry) and used as the basis for the deployed 'run'.

For instance, when you are running a local container-based stack, you would therefore have a local container registry which stores the container images you create that bundle up your pipeline code. You could also use a remote container registry like the Elastic Container Registry at AWS in a more production setting.

base_container_registry

BaseContainerRegistry (StackComponent) pydantic-model

Base class for all ZenML container registries.

Attributes:

Name Type Description
uri str

The URI of the container registry.
Source code in zenml/container_registries/base_container_registry.py 
class BaseContainerRegistry(StackComponent):
    """Base class for all ZenML container registries.

    Attributes:
        uri: The URI of the container registry.
    """

    uri: str
    supports_local_execution = True
    supports_remote_execution = True

    @property
    def type(self) -> StackComponentType:
        """The component type."""
        return StackComponentType.CONTAINER_REGISTRY

    @property
    def flavor(self) -> ContainerRegistryFlavor:
        """The container registry flavor."""
        return ContainerRegistryFlavor.DEFAULT
flavor: ContainerRegistryFlavor property readonly

The container registry flavor.

type: StackComponentType property readonly

The component type.