limited-wolf-14679
03/09/2023, 11:51 PM# new kubeflow
kubeflow = gcp.container.Registry("kubeflow")
deployment = Deployment(
"kubeflow-deployment",
spec=DeploymentSpecArgs(
replicas=1,
selector=LabelSelectorArgs(
match_labels={
"app": "kubeflow",
},
),
template=PodTemplateSpecArgs(
metadata=ObjectMetaArgs(
labels={
"app": "kubeflow",
},
),
spec=PodSpecArgs(
containers=[
ContainerArgs(
name="kubeflow",
image="kubeflow",
env=[
EnvVarArgs(
name="NAMESPACE",
value="kubeflow",
),
],
command=["/bin/bash"],
args=[
"-c",
"/opt/deploy.sh",
]
)
]
)
)
),
metadata=ObjectMetaArgs(
labels={
"app": "kubeflow",
}
)
)
pulumi.export("name", deployment.metadata["name"])
# Allocate an IP to the Deployment.
app_name = "kubeflow"
app_labels = { "app": app_name }
frontend = Service(
app_name,
metadata={
"labels": deployment.spec["template"]["metadata"]["labels"],
},
spec={
"type": "LoadBalancer",
"ports": [{ "port": 80, "target_port": 80, "protocol": "TCP" }],
"selector": app_labels,
})
# When "done", this will print the public IP.
result = None
ingress = frontend.status.apply(lambda v: v["load_balancer"]["ingress"][0] if "load_balancer" in v else None)
if ingress is not None:
result = ingress.apply(lambda v: v["ip"] if "ip" in v else v["hostname"])
pulumi.export("ip", result)
I am getting the following error:
* the Kubernetes API server reported that "default/kubeflow-deployment-d5cb3c03" failed to fully initialize or become live: 'kubeflow-deployment-d5cb3c03' timed out waiting to be Ready
* [MinimumReplicasUnavailable] Deployment does not have minimum availability.
* [ProgressDeadlineExceeded] ReplicaSet "kubeflow-deployment-d5cb3c03-769cdfbd67" has timed out progressing.
* Minimum number of live Pods was not attained
* [Pod kubeflow-deployment-d5cb3c03-769cdfbd67-4lsjp]: containers with unready status: [kubeflow] -- [ImagePullBackOff] Back-off pulling image "kubeflow"purple-electrician-80135
03/14/2023, 8:56 PM