seldon-core-operator

Kubernetes 的 Seldon Core CRD and controller helm chart。

Usage

使用本chart，首先要添加 seldonio Helm 仓库：

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

一旦完成，可使用如下进行部署 chart：

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

源码

• https://github.com/SeldonIO/seldon-core

• https://github.com/SeldonIO/seldon-core/tree/master/helm-charts/seldon-core-operator

• https://docs.seldon.io/projects/seldon-core/en/latest/workflow/install.html

设置值

键	类型	默认值	描述
ambassador.enabled	bool	true
ambassador.singleNamespace	bool	false
certManager.enabled	bool	false
controllerId	string	""
crd.annotations	object	{}
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"
executor.fullHealthChecks	bool	false
executor.image.pullPolicy	string	"IfNotPresent"
executor.image.registry	string	"docker.io"
executor.image.repository	string	"seldonio/seldon-core-executor"
executor.image.tag	string	"1.14.0"
executor.metricsPortName	string	"metrics"
executor.port	int	8000
executor.prometheus.path	string	"/prometheus"
executor.requestLogger.defaultEndpoint	string	"http://default-broker"
executor.requestLogger.workQueueSize	int	10000
executor.requestLogger.writeTimeoutMs	int	2000
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:1.14.0"
explainer.image_v2	string	"seldonio/mlserver:1.1.0-alibi-explain"
hostNetwork	bool	false
image.pullPolicy	string	"IfNotPresent"
image.registry	string	"docker.io"
image.repository	string	"seldonio/seldon-core-operator"
image.tag	string	"1.14.0"
istio.enabled	bool	false
istio.gateway	string	"istio-system/seldon-gateway"
istio.tlsMode	string	""
keda.enabled	bool	false
kubeflow	bool	false
manager.annotations	object	{}
manager.containerSecurityContext	object	{}
manager.cpuLimit	string	"500m"
manager.cpuRequest	string	"100m"
manager.deploymentNameAsPrefix	bool	false
manager.leaderElectionID	string	"a33bd623.machinelearning.seldon.io"
manager.logLevel	string	"INFO"
manager.memoryLimit	string	"300Mi"
manager.memoryRequest	string	"200Mi"
manager.priorityClassName	string	nil
managerCreateResources	bool	false
managerUserID	int	8888
metrics.port	int	8080
namespaceOverride	string	""
predictiveUnit.defaultEnvSecretRefName	string	""
predictiveUnit.grpcPort	int	9500
predictiveUnit.httpPort	int	9000
predictiveUnit.metricsPortName	string	"metrics"
predictor_servers.HUGGINGFACE_SERVER.protocols.v2.defaultImageVersion	string	"1.1.0-huggingface"
predictor_servers.HUGGINGFACE_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.MLFLOW_SERVER.protocols.seldon.defaultImageVersion	string	"1.14.0"
predictor_servers.MLFLOW_SERVER.protocols.seldon.image	string	"seldonio/mlflowserver"
predictor_servers.MLFLOW_SERVER.protocols.v2.defaultImageVersion	string	"1.1.0-mlflow"
predictor_servers.MLFLOW_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.SKLEARN_SERVER.protocols.seldon.defaultImageVersion	string	"1.14.0"
predictor_servers.SKLEARN_SERVER.protocols.seldon.image	string	"seldonio/sklearnserver"
predictor_servers.SKLEARN_SERVER.protocols.v2.defaultImageVersion	string	"1.1.0-sklearn"
predictor_servers.SKLEARN_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.TEMPO_SERVER.protocols.v2.defaultImageVersion	string	"1.1.0-slim"
predictor_servers.TEMPO_SERVER.protocols.v2.image	string	"seldonio/mlserver"
predictor_servers.TENSORFLOW_SERVER.protocols.seldon.defaultImageVersion	string	"1.14.0"
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.v2.defaultImageVersion	string	"21.08-py3"
predictor_servers.TRITON_SERVER.protocols.v2.image	string	"nvcr.io/nvidia/tritonserver"
predictor_servers.XGBOOST_SERVER.protocols.seldon.defaultImageVersion	string	"1.14.0"
predictor_servers.XGBOOST_SERVER.protocols.seldon.image	string	"seldonio/xgboostserver"
predictor_servers.XGBOOST_SERVER.protocols.v2.defaultImageVersion	string	"1.1.0-xgboost"
predictor_servers.XGBOOST_SERVER.protocols.v2.image	string	"seldonio/mlserver"
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	"seldonio/rclone-storage-initializer:1.14.0"
storageInitializer.memoryLimit	string	"1Gi"
storageInitializer.memoryRequest	string	"100Mi"
usageMetrics.enabled	bool	false
webhook.port	int	4443