KubernetesOnlineDeployment Class

Definition

Namespace:

Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501

Assembly:

Az.MachineLearningServices.private.dll

Properties specific to a KubernetesOnlineDeployment.

[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.KubernetesOnlineDeploymentTypeConverter))]
public class KubernetesOnlineDeployment : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IKubernetesOnlineDeployment, Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Runtime.IValidates

[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.KubernetesOnlineDeploymentTypeConverter))>]
type KubernetesOnlineDeployment = class
    interface IKubernetesOnlineDeployment
    interface IJsonSerializable
    interface IOnlineDeploymentProperties
    interface IEndpointDeploymentPropertiesBase
    interface IValidates

Public Class KubernetesOnlineDeployment
Implements IKubernetesOnlineDeployment, IValidates

Inheritance

Object

KubernetesOnlineDeployment

Attributes

TypeConverterAttribute

Implements

IEndpointDeploymentPropertiesBase IKubernetesOnlineDeployment IOnlineDeploymentProperties IJsonSerializable IValidates

Constructors

KubernetesOnlineDeployment()

Creates an new KubernetesOnlineDeployment instance.

Properties

AppInsightsEnabled	If true, enables Application Insights logging.
CodeConfiguration	Code configuration for the endpoint deployment.
CodeConfigurationCodeId	ARM resource ID of the code asset.
CodeConfigurationScoringScript	[Required] The script to execute on startup. eg. "score.py"
ContainerResourceLimitCpu	Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
ContainerResourceLimitGpu	Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
ContainerResourceLimitMemory	Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
ContainerResourceRequestCpu	Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
ContainerResourceRequestGpu	Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
ContainerResourceRequestMemory	Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
Description	Description of the endpoint deployment.
EndpointComputeType	[Required] The compute type of the endpoint.
EnvironmentId	ARM resource ID or AssetId of the environment specification for the endpoint deployment.
EnvironmentVariable	Environment variables configuration for the deployment.
InstanceType	Compute instance type.
LivenessProbe	Liveness probe monitors the health of the container regularly.
LivenessProbeFailureThreshold	The number of failures to allow before returning an unhealthy status.
LivenessProbeInitialDelay	The delay before the first probe in ISO 8601 format.
LivenessProbePeriod	The length of time between probes in ISO 8601 format.
LivenessProbeSuccessThreshold	The number of successful probes before returning a healthy status.
LivenessProbeTimeout	The probe timeout in ISO 8601 format.
Model	The URI path to the model.
ModelMountPath	The path to mount the model in custom container.
Property	Property dictionary. Properties can be added, but not removed or altered.
ProvisioningState	Provisioning state for the endpoint deployment.
ReadinessProbe	Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
ReadinessProbeFailureThreshold	The number of failures to allow before returning an unhealthy status.
ReadinessProbeInitialDelay	The delay before the first probe in ISO 8601 format.
ReadinessProbePeriod	The length of time between probes in ISO 8601 format.
ReadinessProbeSuccessThreshold	The number of successful probes before returning a healthy status.
ReadinessProbeTimeout	The probe timeout in ISO 8601 format.
RequestSetting	Request settings for the deployment.
RequestSettingMaxConcurrentRequestsPerInstance	The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
RequestSettingMaxQueueWait	The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
RequestSettingRequestTimeout	The scoring timeout in ISO 8601 format. Defaults to 5000ms.
ScaleSetting	Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
ScaleSettingScaleType	[Required] Type of deployment scaling algorithm

Methods

DeserializeFromDictionary(IDictionary)	Deserializes a IDictionary into an instance of KubernetesOnlineDeployment.
DeserializeFromPSObject(PSObject)	Deserializes a PSObject into an instance of KubernetesOnlineDeployment.
FromJson(JsonNode)	Deserializes a JsonNode into an instance of Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IKubernetesOnlineDeployment.
FromJsonString(String)	Creates a new instance of KubernetesOnlineDeployment, deserializing the content from a json string.
ToJson(JsonObject, SerializationMode)	Serializes this instance of KubernetesOnlineDeployment into a JsonNode.
ToJsonString()	Serializes this instance to a json string.
ToString()
Validate(IEventListener)	Validates that this object meets the validation criteria.