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Kubernetes

Kubernetes integration for Kubernetes-native orchestration.

The Kubernetes integration sub-module powers an alternative to the local orchestrator. You can enable it by registering the Kubernetes orchestrator with the CLI tool.

KubernetesIntegration

Bases: Integration

Definition of Kubernetes integration for ZenML.

Source code in src/zenml/integrations/kubernetes/__init__.py 
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class KubernetesIntegration(Integration):
    """Definition of Kubernetes integration for ZenML."""

    NAME = KUBERNETES
    REQUIREMENTS = ["kubernetes>=21.7,<26"]
    REQUIREMENTS_IGNORED_ON_UNINSTALL = [
        "kfp", # it is used by many others
    ]
    @classmethod
    def flavors(cls) -> List[Type[Flavor]]:
        """Declare the stack component flavors for the Kubernetes integration.

        Returns:
            List of new stack component flavors.
        """
        from zenml.integrations.kubernetes.flavors import (
            KubernetesOrchestratorFlavor, KubernetesStepOperatorFlavor
        )

        return [KubernetesOrchestratorFlavor, KubernetesStepOperatorFlavor]

flavors() classmethod

Declare the stack component flavors for the Kubernetes integration.

Returns:

Type Description
List[Type[Flavor]]

List of new stack component flavors.
Source code in src/zenml/integrations/kubernetes/__init__.py 
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@classmethod
def flavors(cls) -> List[Type[Flavor]]:
    """Declare the stack component flavors for the Kubernetes integration.

    Returns:
        List of new stack component flavors.
    """
    from zenml.integrations.kubernetes.flavors import (
        KubernetesOrchestratorFlavor, KubernetesStepOperatorFlavor
    )

    return [KubernetesOrchestratorFlavor, KubernetesStepOperatorFlavor]