prefect-kubernetes contains Prefect tasks, flows, and blocks enabling orchestration, observation and management of Kubernetes resources. This library is most commonly used for installation with a Kubernetes worker. See the Prefect docs on deploying with Kubernetes to learn how to create and run deployments in Kubernetes. Prefect provides a Helm chart for deploying a worker, a self-hosted server instance, and other resources to a Kubernetes cluster. See the Prefect Helm chart for more information.

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Getting started

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Prerequisites

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Install prefect-kubernetes

 pip install -U prefect-kubernetes

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Register newly installed block types

Register the block types in the prefect-aws module to make them available for use. 
prefect block register -m prefect_kubernetes

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Examples

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Use with_options to customize options on an existing task or flow

from prefect_kubernetes.flows import run_namespaced_job

customized_run_namespaced_job = run_namespaced_job.with_options(
    name="My flow running a Kubernetes Job",
    retries=2,
    retry_delay_seconds=10,
) # this is now a new flow object that can be called

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Specify and run a Kubernetes Job from a YAML file

from prefect_kubernetes.credentials import KubernetesCredentials
from prefect_kubernetes.flows import run_namespaced_job # this is a flow
from prefect_kubernetes.jobs import KubernetesJob

k8s_creds = KubernetesCredentials.load("k8s-creds")

job = KubernetesJob.from_yaml_file( # or create in the UI with a dict manifest
    credentials=k8s_creds,
    manifest_path="path/to/job.yaml",
)

job.save("my-k8s-job", overwrite=True)

if __name__ == "__main__":
    # run the flow
    run_namespaced_job(job)

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Generate a resource-specific client from KubernetesClusterConfig

# with minikube / docker desktop & a valid ~/.kube/config this should ~just work~
from prefect_kubernetes.credentials import KubernetesCredentials, KubernetesClusterConfig

k8s_config = KubernetesClusterConfig.from_file('~/.kube/config')

k8s_credentials = KubernetesCredentials(cluster_config=k8s_config)

with k8s_credentials.get_client("core") as v1_core_client:
    for namespace in v1_core_client.list_namespace().items:
        print(namespace.metadata.name)

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List jobs in a namespace

from prefect import flow
from prefect_kubernetes.credentials import KubernetesCredentials
from prefect_kubernetes.jobs import list_namespaced_job

@flow
def kubernetes_orchestrator():
    v1_job_list = list_namespaced_job(
        kubernetes_credentials=KubernetesCredentials.load("k8s-creds"),
        namespace="my-namespace",
    )

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Patch an existing Kubernetes deployment

from kubernetes.client.models import V1Deployment

from prefect import flow
from prefect_kubernetes.credentials import KubernetesCredentials
from prefect_kubernetes.deployments import patch_namespaced_deployment
from prefect_kubernetes.utilities import convert_manifest_to_model

@flow
def kubernetes_orchestrator():

    v1_deployment_updates = convert_manifest_to_model(
        manifest="path/to/manifest.yaml",
        v1_model_name="V1Deployment",
    )

    v1_deployment = patch_namespaced_deployment(
        kubernetes_credentials=KubernetesCredentials.load("k8s-creds"),
        deployment_name="my-deployment",
        deployment_updates=v1_deployment_updates,
        namespace="my-namespace"
    )
For assistance using Kubernetes, consult the Kubernetes documentation. Refer to the prefect-kubernetes API documentation linked in the sidebar to explore all the capabilities of the prefect-kubernetes library.