Hi Team,
I have deployed the https://raw.githubusercontent.com/kubeflow/manifests/master/kfdef/kfctl_istio_dex.yaml on my Kubernetes(v1.18.4). We have tried running some examples like sklearn and hello-world. We dont see any pods running on admin namespace.
Additional Info:
kubectl describe inferenceservice -n admin
Name: sklearn-iris
Namespace: admin
Labels: <none>
Annotations: kubectl.kubernetes.io/last-applied-configuration:
{"apiVersion":"serving.kubeflow.org/v1alpha2","kind":"InferenceService","metadata":{"annotations":{"sidecar.istio.io/inject":"false"},"nam...
sidecar.istio.io/inject: false
API Version: serving.kubeflow.org/v1alpha2
Kind: InferenceService
Metadata:
Creation Timestamp: 2020-07-17T18:23:45Z
Generation: 1
Managed Fields:
API Version: serving.kubeflow.org/v1alpha2
Manager: kubectl
Operation: Update
Time: 2020-07-17T18:23:44Z
Resource Version: 366999
Self Link: /apis/serving.kubeflow.org/v1alpha2/namespaces/admin/inferenceservices/sklearn-iris
UID: c8d308b4-639d-4cb7-ad11-4f26231a2329
Spec:
Default:
Predictor:
Sklearn:
Resources:
Limits:
Cpu: 1
Memory: 2Gi
Requests:
Cpu: 1
Memory: 2Gi
Runtime Version: v0.3.0
Storage Uri: gs://kfserving-samples/models/sklearn/iris
Events: <none>
We see that there is no activity related to knative-service on the cluster. Is there a work-around for this problem.
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| Label | Probability |
| ------------- | ------------- |
| area/inference | 0.79 |
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@bharath0208 There is known issue that KFServing does not work with k8s 1.18, if you can downgrade to 1.17 that should work.
@yuzisun any idea on when of kfserving will be supporting version 1.18 of k8's
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@bharath0208 there is an upstream issue https://github.com/kubernetes-sigs/controller-tools/issues/438 for the tool KFServing uses which generates the invalid inference service crd on k8s 1.18
It's a long time now. Any idea on when of kfserving will be supporting version 1.18 of k8's ????
@yuzisun I see there is a PR (https://github.com/kubeflow/kfserving/pull/1128) to enable support for k8s 1.18, can we apply the update (0.4.1) to existing kfserving (under kubeflow namespace) installation?
@CreatorSky @Bhavesh-Joshi we are patching 1.18 support to KFS 0.4.1 release and the fix is going to be in kubeflow 1.2 release.
released in 0.4.1
@bharath0208 There is known issue that KFServing does not work with k8s 1.18, if you can downgrade to 1.17 that should work.
@yuzisun , Is this information still valid ? Should we install 1.17? (I am about to setup a new local cluster, looking to find best working versions of k8s, kubeflow, kfserving, istio, knative, docker etc..)
Thanks.
@bharath0208 There is known issue that KFServing does not work with k8s 1.18, if you can downgrade to 1.17 that should work.
@yuzisun , Is this information still valid ? Should we install 1.17? (I am about to setup a new local cluster, looking to find best working versions of k8s, kubeflow, kfserving, istio, knative, docker etc..)
Thanks.
@ontheway16 Did you find any good versions maping so that every thing works for local cluster at least? I am using v0.7.0 of kubeflow as of now as other newer versions are not working on my minikube setup (for which I have already raised issues but looks like there is no support for them as of now)
@chinmay22897 hi, I am using regular kubernetes install, but since I am focusing to inference only, at the moment, I decided to follow standalone KFserving install route. All seems working with 1.17, but I continue to test, still learning.
Most helpful comment
released in 0.4.1