seldon/seldon-core-operator

Chart version: 1.5.1
Api version: v1
App version: n/a
Seldon Core CRD and controller helm chart for Kubernetes.
application
Chart Type
Active
Status
Unknown
License
5170
Downloads
https://storage.googleapis.com/seldon-charts
Set me up:
helm repo add center https://repo.chartcenter.io
Install Chart:
helm install seldon-core-operator center/seldon/seldon-core-operator
Versions (0)

seldon-core-operator

Version: 1.5.1

Seldon Core CRD and controller helm chart for Kubernetes.

Usage

To use this chart, you will first need to add the seldonio Helm repo:

helm repo add seldonio https://storage.googleapis.com/seldon-charts
helm repo update

Onca that’s done, you should then be able to deploy the chart as:

kubectl create namespace seldon-system
helm install seldon-core-operator seldonio/seldon-core-operator --namespace seldon-system

Source Code

Values

Key Type Default Description
ambassador.enabled bool true
ambassador.singleNamespace bool false
certManager.enabled bool false
controllerId string ""
crd.create bool true
crd.forceV1 bool false
crd.forceV1beta1 bool false
credentials.gcs.gcsCredentialFileName string "gcloud-application-credentials.json"
credentials.s3.s3AccessKeyIDName string "awsAccessKeyID"
credentials.s3.s3SecretAccessKeyName string "awsSecretAccessKey"
defaultUserID string "8888"
engine.grpc.port int 5001
engine.image.pullPolicy string "IfNotPresent"
engine.image.registry string "docker.io"
engine.image.repository string "seldonio/engine"
engine.image.tag string "1.5.1"
engine.logMessagesExternally bool false
engine.port int 8000
engine.prometheus.path string "/prometheus"
engine.resources.cpuLimit string "500m"
engine.resources.cpuRequest string "500m"
engine.resources.memoryLimit string "512Mi"
engine.resources.memoryRequest string "512Mi"
engine.serviceAccount.name string "default"
engine.user int 8888
executor.enabled bool true
executor.image.pullPolicy string "IfNotPresent"
executor.image.registry string "docker.io"
executor.image.repository string "seldonio/seldon-core-executor"
executor.image.tag string "1.5.1"
executor.metricsPortName string "metrics"
executor.port int 8000
executor.prometheus.path string "/prometheus"
executor.requestLogger.defaultEndpoint string "http://default-broker"
executor.resources.cpuLimit string "500m"
executor.resources.cpuRequest string "500m"
executor.resources.memoryLimit string "512Mi"
executor.resources.memoryRequest string "512Mi"
executor.serviceAccount.name string "default"
executor.user int 8888
explainer.image string "seldonio/alibiexplainer:1.5.1"
image.pullPolicy string "IfNotPresent"
image.registry string "docker.io"
image.repository string "seldonio/seldon-core-operator"
image.tag string "1.5.1"
istio.enabled bool false
istio.gateway string "istio-system/seldon-gateway"
istio.tlsMode string ""
keda.enabled bool false
kubeflow bool false
manager.cpuLimit string "500m"
manager.cpuRequest string "100m"
manager.memoryLimit string "300Mi"
manager.memoryRequest string "200Mi"
managerCreateResources bool false
predictiveUnit.defaultEnvSecretRefName string ""
predictiveUnit.metricsPortName string "metrics"
predictiveUnit.port int 9000
predictor_servers.MLFLOW_SERVER.protocols.seldon.defaultImageVersion string "1.5.1"
predictor_servers.MLFLOW_SERVER.protocols.seldon.image string "seldonio/mlflowserver"
predictor_servers.SKLEARN_SERVER.protocols.kfserving.defaultImageVersion string "0.1.1"
predictor_servers.SKLEARN_SERVER.protocols.kfserving.image string "seldonio/mlserver"
predictor_servers.SKLEARN_SERVER.protocols.seldon.defaultImageVersion string "1.5.1"
predictor_servers.SKLEARN_SERVER.protocols.seldon.image string "seldonio/sklearnserver"
predictor_servers.TENSORFLOW_SERVER.protocols.seldon.defaultImageVersion string "1.5.1"
predictor_servers.TENSORFLOW_SERVER.protocols.seldon.image string "seldonio/tfserving-proxy"
predictor_servers.TENSORFLOW_SERVER.protocols.tensorflow.defaultImageVersion string "2.1.0"
predictor_servers.TENSORFLOW_SERVER.protocols.tensorflow.image string "tensorflow/serving"
predictor_servers.TRITON_SERVER.protocols.kfserving.defaultImageVersion string "20.08-py3"
predictor_servers.TRITON_SERVER.protocols.kfserving.image string "nvcr.io/nvidia/tritonserver"
predictor_servers.XGBOOST_SERVER.protocols.kfserving.defaultImageVersion string "0.1.1"
predictor_servers.XGBOOST_SERVER.protocols.kfserving.image string "seldonio/mlserver"
predictor_servers.XGBOOST_SERVER.protocols.seldon.defaultImageVersion string "1.5.1"
predictor_servers.XGBOOST_SERVER.protocols.seldon.image string "seldonio/xgboostserver"
rbac.configmap.create bool true
rbac.create bool true
serviceAccount.create bool true
serviceAccount.name string "seldon-manager"
singleNamespace bool false
storageInitializer.cpuLimit string "1"
storageInitializer.cpuRequest string "100m"
storageInitializer.image string "gcr.io/kfserving/storage-initializer:v0.4.0"
storageInitializer.memoryLimit string "1Gi"
storageInitializer.memoryRequest string "100Mi"
usageMetrics.enabled bool false
webhook.port int 443