Checks
deployKF Version
0.1.3
Kubernetes Version
Client Version: version.Info{Major:"1", Minor:"25", GitVersion:"v1.25.0", GitCommit:"a866cbe2e5bbaa01cfd5e969aa3e033f3282a8a2", GitTreeState:"clean", BuildDate:"2022-08-23T17:44:59Z", GoVersion:"go1.19", Compiler:"gc", Platform:"linux/amd64"}
Kustomize Version: v4.5.7
Server Version: version.Info{Major:"1", Minor:"24+", GitVersion:"v1.24.17-eks-8cb36c9", GitCommit:"b114b128d961e18fed9242aed57f37f289bc740f", GitTreeState:"clean", BuildDate:"2023-11-22T21:53:08Z", GoVersion:"go1.20.10", Compiler:"gc", Platform:"linux/amd64"}
Description
Objective is to use S3 instead of MiniIO. IAM and deploykf has been set up per https://www.deploykf.org/guides/tools/external-object-store/. Note: the S3 bucket is in eu-west-1 region.
Relevant Logs
ml-pipeline pods are returning the following starting up:
│ ml-pipeline-api-server I0111 06:29:38.766223 7 client_manager.go:160] Initializing client manager │
│ ml-pipeline-api-server I0111 06:29:38.766320 7 config.go:57] Config DBConfig.ExtraParams not specified, skipping │
│ ml-pipeline-api-server F0111 06:29:39.200188 7 client_manager.go:412] Failed to check if Minio bucket exists. Error: Access Denied.
### deployKF Values (Optional)
```yaml
deploykf_core:
deploykf_profiles_generator:
profileDefaults:
plugins:
- kind: AwsIamForServiceAccount
spec:
awsIamRole: "${iam_role_arn}"
AnnotateOnly: true
deploykf_opt:
deploykf_minio:
enabled: false
kubeflow_dependencies:
kubeflow_argo_workflows:
controller:
serviceAccount:
annotations:
eks.amazonaws.com/role-arn: "${iam_role_arn}"
server:
serviceAccount:
annotations:
eks.amazonaws.com/role-arn: "${iam_role_arn}"
kubeflow_tools:
pipelines:
enabled: true
serviceAccounts:
apiServer:
annotations:
eks.amazonaws.com/role-arn: "${iam_role_arn}"
frontend:
annotations:
eks.amazonaws.com/role-arn: "${iam_role_arn}"
bucket:
name: ${bucket}
region: ${region}
objectStore:
useExternal: true
## for IRSA, this should always be 's3.amazonaws.com'
host: s3.amazonaws.com
port: ""
useSSL: true
auth:
fromEnv: true
kfpV2:
minioFix: false
Checks
deployKF Version
0.1.3
Kubernetes Version
Client Version: version.Info{Major:"1", Minor:"25", GitVersion:"v1.25.0", GitCommit:"a866cbe2e5bbaa01cfd5e969aa3e033f3282a8a2", GitTreeState:"clean", BuildDate:"2022-08-23T17:44:59Z", GoVersion:"go1.19", Compiler:"gc", Platform:"linux/amd64"} Kustomize Version: v4.5.7 Server Version: version.Info{Major:"1", Minor:"24+", GitVersion:"v1.24.17-eks-8cb36c9", GitCommit:"b114b128d961e18fed9242aed57f37f289bc740f", GitTreeState:"clean", BuildDate:"2023-11-22T21:53:08Z", GoVersion:"go1.20.10", Compiler:"gc", Platform:"linux/amd64"}Description
Objective is to use S3 instead of MiniIO. IAM and deploykf has been set up per https://www.deploykf.org/guides/tools/external-object-store/. Note: the S3 bucket is in
eu-west-1region.Relevant Logs
ml-pipeline pods are returning the following starting up: │ ml-pipeline-api-server I0111 06:29:38.766223 7 client_manager.go:160] Initializing client manager │ │ ml-pipeline-api-server I0111 06:29:38.766320 7 config.go:57] Config DBConfig.ExtraParams not specified, skipping │ │ ml-pipeline-api-server F0111 06:29:39.200188 7 client_manager.go:412] Failed to check if Minio bucket exists. Error: Access Denied.