not able start kfserving with s3
See original GitHub issue/kind bug
Running kfserving with kubeflow installed on minkube for s3 tensorflow storage model but awaiting at PodInitializing
kubectl get inferenceservice -n kfserving-test-2
NAME URL READY DEFAULT TRAFFIC CANARY TRAFFIC AGE
effidet-s3 False 83m
effidet-s3-1 False 7m30s
flowers-sample http://flowers-sample.kfserving-test-2.example.com/v1/models/flowers-sample True 100 109m
sklearn-iris http://sklearn-iris.kfserving-test-2.example.com/v1/models/sklearn-iris True 100 17h
deployment.apps/effidet-s3-1-predictor-default-khtjq-deployment 0/0 0 0 6m45s
deployment.apps/effidet-s3-1-predictor-default-nc6kn-deployment 0/0 0 0 6m45s
replicaset.apps/effidet-s3-1-predictor-default-khtjq-deployment-55fc98844f 0 0 0 6m45s
replicaset.apps/effidet-s3-1-predictor-default-nc6kn-deployment-6dcfb7bf56 0 0 0 6m45s
revision.serving.knative.dev/effidet-s3-1-predictor-default-khtjq effidet-s3-1-predictor-default effidet-s3-1-predictor-default-khtjq 1 False PodInitializing
revision.serving.knative.dev/effidet-s3-1-predictor-default-nc6kn effidet-s3-1-predictor-default effidet-s3-1-predictor-default-nc6kn 2 False PodInitializing
configuration.serving.knative.dev/effidet-s3-1-predictor-default effidet-s3-1-predictor-default-nc6kn False RevisionFailed
service.serving.knative.dev/effidet-s3-1-predictor-default http://effidet-s3-1-predictor-default.kfserving-test-2.example.com effidet-s3-1-predictor-default-nc6kn False RevisionMissing
route.serving.knative.dev/effidet-s3-1-predictor-default http://effidet-s3-1-predictor-default.kfserving-test-2.example.com False RevisionMissing
s3://bucket_name/savd_model
/mnt/models
State: Terminated
Reason: Error
Exit Code: 1
Started: Fri, 10 Jul 2020 08:04:58 +0000
Finished: Fri, 10 Jul 2020 08:05:00 +0000
Last State: Terminated
Reason: Error
Exit Code: 1
Started: Fri, 10 Jul 2020 08:04:41 +0000
Finished: Fri, 10 Jul 2020 08:04:43 +0000
Ready: False
Restart Count: 2
Deployment file :
apiVersion: "serving.kubeflow.org/v1alpha2"
kind: "InferenceService"
metadata:
name: "effidet-s3-1"
spec:
default:
predictor:
serviceAccountName: sa
tensorflow:
storageUri: "s3://bucket/saved_model"
---
apiVersion: v1
kind: Secret
metadata:
name: mysecret
annotations:
serving.kubeflow.org/s3-endpoint: s3.amazonaws.com.
serving.kubeflow.org/s3-usehttps: "1"
serving.kubeflow.org/s3-verifyssl: "1"
serving.kubeflow.org/s3-region: us-east-1
type: Opaque
stringData:
awsAccessKeyID: xxxx=
awsSecretAccessKey: xxx==
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: sa
secrets:
- name: mysecret
Environment:
- Kubeflow version: v1.0.2
- Minikube version: v1.8.0
- Kubernetes version: v1.17.3
- OS (e.g. from
/etc/os-release
):
Issue Analytics
- State:
- Created 3 years ago
- Comments:12 (4 by maintainers)
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