oci.DataScience.getModelDeployment

func GetModelDeployment(ctx *Context, args *GetModelDeploymentArgs, opts ...InvokeOption) (*GetModelDeploymentResult, error)
func GetModelDeploymentOutput(ctx *Context, args *GetModelDeploymentOutputArgs, opts ...InvokeOption) GetModelDeploymentResultOutput

> Note: This function is named GetModelDeployment in the Go SDK.

ModelDeploymentId string

The OCID of the model deployment.

ModelDeploymentId string

The OCID of the model deployment.

modelDeploymentId String

The OCID of the model deployment.

modelDeploymentId string

The OCID of the model deployment.

model_deployment_id str

The OCID of the model deployment.

modelDeploymentId String

The OCID of the model deployment.

CategoryLogDetails List<GetModelDeploymentCategoryLogDetail>

The log details for each category.

CompartmentId string

The OCID of the model deployment's compartment.

CreatedBy string

The OCID of the user who created the model deployment.

DefinedTags Dictionary<string, string>

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

A short description of the model deployment.

DisplayName string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

FreeformTags Dictionary<string, string>

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

Id string

The OCID of the model deployment.

LifecycleDetails string

Details about the state of the model deployment.

ModelDeploymentConfigurationDetails List<GetModelDeploymentModelDeploymentConfigurationDetail>

The model deployment configuration details.

ModelDeploymentId string

ModelDeploymentSystemDatas List<GetModelDeploymentModelDeploymentSystemData>

Model deployment system data.

ModelDeploymentUrl string

The URL to interact with the model deployment.

OpcParentRptUrl string

ProjectId string

The OCID of the project associated with the model deployment.

State string

The state of the model deployment.

TimeCreated string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

CategoryLogDetails []GetModelDeploymentCategoryLogDetail

The log details for each category.

CompartmentId string

The OCID of the model deployment's compartment.

CreatedBy string

The OCID of the user who created the model deployment.

DefinedTags map[string]string

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

A short description of the model deployment.

DisplayName string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

FreeformTags map[string]string

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

Id string

The OCID of the model deployment.

LifecycleDetails string

Details about the state of the model deployment.

ModelDeploymentConfigurationDetails []GetModelDeploymentModelDeploymentConfigurationDetail

The model deployment configuration details.

ModelDeploymentId string

ModelDeploymentSystemDatas []GetModelDeploymentModelDeploymentSystemData

Model deployment system data.

ModelDeploymentUrl string

The URL to interact with the model deployment.

OpcParentRptUrl string

ProjectId string

The OCID of the project associated with the model deployment.

State string

The state of the model deployment.

TimeCreated string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

categoryLogDetails List<GetModelDeploymentCategoryLogDetail>

The log details for each category.

compartmentId String

The OCID of the model deployment's compartment.

createdBy String

The OCID of the user who created the model deployment.

definedTags Map<String,String>

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

A short description of the model deployment.

displayName String

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

freeformTags Map<String,String>

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id String

The OCID of the model deployment.

lifecycleDetails String

Details about the state of the model deployment.

modelDeploymentConfigurationDetails List<GetModelDeploymentModelDeploymentConfigurationDetail>

The model deployment configuration details.

modelDeploymentId String

modelDeploymentSystemDatas List<GetModelDeploymentModelDeploymentSystemData>

Model deployment system data.

modelDeploymentUrl String

The URL to interact with the model deployment.

opcParentRptUrl String

projectId String

The OCID of the project associated with the model deployment.

state String

The state of the model deployment.

timeCreated String

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

categoryLogDetails GetModelDeploymentCategoryLogDetail[]

The log details for each category.

compartmentId string

The OCID of the model deployment's compartment.

createdBy string

The OCID of the user who created the model deployment.

definedTags {[key: string]: string}

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

A short description of the model deployment.

displayName string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

freeformTags {[key: string]: string}

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id string

The OCID of the model deployment.

lifecycleDetails string

Details about the state of the model deployment.

modelDeploymentConfigurationDetails GetModelDeploymentModelDeploymentConfigurationDetail[]

The model deployment configuration details.

modelDeploymentId string

modelDeploymentSystemDatas GetModelDeploymentModelDeploymentSystemData[]

Model deployment system data.

modelDeploymentUrl string

The URL to interact with the model deployment.

opcParentRptUrl string

projectId string

The OCID of the project associated with the model deployment.

state string

The state of the model deployment.

timeCreated string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

category_log_details Sequence[datascience.GetModelDeploymentCategoryLogDetail]

The log details for each category.

compartment_id str

The OCID of the model deployment's compartment.

created_by str

The OCID of the user who created the model deployment.

defined_tags Mapping[str, str]

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description str

A short description of the model deployment.

display_name str

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

freeform_tags Mapping[str, str]

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id str

The OCID of the model deployment.

lifecycle_details str

Details about the state of the model deployment.

model_deployment_configuration_details Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetail]

The model deployment configuration details.

model_deployment_id str

model_deployment_system_datas Sequence[datascience.GetModelDeploymentModelDeploymentSystemData]

Model deployment system data.

model_deployment_url str

The URL to interact with the model deployment.

opc_parent_rpt_url str

project_id str

The OCID of the project associated with the model deployment.

state str

The state of the model deployment.

time_created str

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

categoryLogDetails List<Property Map>

The log details for each category.

compartmentId String

The OCID of the model deployment's compartment.

createdBy String

The OCID of the user who created the model deployment.

definedTags Map<String>

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

A short description of the model deployment.

displayName String

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

freeformTags Map<String>

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id String

The OCID of the model deployment.

lifecycleDetails String

Details about the state of the model deployment.

modelDeploymentConfigurationDetails List<Property Map>

The model deployment configuration details.

modelDeploymentId String

modelDeploymentSystemDatas List<Property Map>

Model deployment system data.

modelDeploymentUrl String

The URL to interact with the model deployment.

opcParentRptUrl String

projectId String

The OCID of the project associated with the model deployment.

state String

The state of the model deployment.

timeCreated String

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

Accesses List<GetModelDeploymentCategoryLogDetailAccess>

The log details.

Predicts List<GetModelDeploymentCategoryLogDetailPredict>

The log details.

Accesses []GetModelDeploymentCategoryLogDetailAccess

The log details.

Predicts []GetModelDeploymentCategoryLogDetailPredict

The log details.

accesses List<GetModelDeploymentCategoryLogDetailAccess>

The log details.

predicts List<GetModelDeploymentCategoryLogDetailPredict>

The log details.

accesses GetModelDeploymentCategoryLogDetailAccess[]

The log details.

predicts GetModelDeploymentCategoryLogDetailPredict[]

The log details.

accesses Sequence[datascience.GetModelDeploymentCategoryLogDetailAccess]

The log details.

predicts Sequence[datascience.GetModelDeploymentCategoryLogDetailPredict]

The log details.

accesses List<Property Map>

The log details.

predicts List<Property Map>

The log details.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

logGroupId string

The OCID of a log group to work with.

logId string

The OCID of a log to work with.

log_group_id str

The OCID of a log group to work with.

log_id str

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

logGroupId string

The OCID of a log group to work with.

logId string

The OCID of a log to work with.

log_group_id str

The OCID of a log group to work with.

log_id str

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

DeploymentType string

The type of the model deployment.

EnvironmentConfigurationDetails List<GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail>

The configuration to carry the environment details thats used in Model Deployment creation

ModelConfigurationDetails List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail>

The model configuration details.

DeploymentType string

The type of the model deployment.

EnvironmentConfigurationDetails []GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail

The configuration to carry the environment details thats used in Model Deployment creation

ModelConfigurationDetails []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail

The model configuration details.

deploymentType String

The type of the model deployment.

environmentConfigurationDetails List<GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail>

The configuration to carry the environment details thats used in Model Deployment creation

modelConfigurationDetails List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail>

The model configuration details.

deploymentType string

The type of the model deployment.

environmentConfigurationDetails GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail[]

The configuration to carry the environment details thats used in Model Deployment creation

modelConfigurationDetails GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail[]

The model configuration details.

deployment_type str

The type of the model deployment.

environment_configuration_details Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail]

The configuration to carry the environment details thats used in Model Deployment creation

model_configuration_details Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail]

The model configuration details.

deploymentType String

The type of the model deployment.

environmentConfigurationDetails List<Property Map>

The configuration to carry the environment details thats used in Model Deployment creation

modelConfigurationDetails List<Property Map>

The model configuration details.

Cmds List<string>

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

Entrypoints List<string>

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

EnvironmentConfigurationType string

The environment configuration type

EnvironmentVariables Dictionary<string, string>

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

HealthCheckPort int

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

Image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

ImageDigest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

ServerPort int

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

Cmds []string

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

Entrypoints []string

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

EnvironmentConfigurationType string

The environment configuration type

EnvironmentVariables map[string]string

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

HealthCheckPort int

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

Image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

ImageDigest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

ServerPort int

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds List<String>

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

entrypoints List<String>

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environmentConfigurationType String

The environment configuration type

environmentVariables Map<String,String>

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

healthCheckPort Integer

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image String

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

imageDigest String

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

serverPort Integer

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds string[]

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

entrypoints string[]

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environmentConfigurationType string

The environment configuration type

environmentVariables {[key: string]: string}

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

healthCheckPort number

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

imageDigest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

serverPort number

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds Sequence[str]

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

entrypoints Sequence[str]

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environment_configuration_type str

The environment configuration type

environment_variables Mapping[str, str]

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

health_check_port int

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image str

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

image_digest str

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

server_port int

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds List<String>

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

entrypoints List<String>

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environmentConfigurationType String

The environment configuration type

environmentVariables Map<String>

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

healthCheckPort Number

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image String

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

imageDigest String

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

serverPort Number

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

BandwidthMbps int

The minimum network bandwidth for the model deployment.

InstanceConfigurations List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfiguration>

The model deployment instance configuration

MaximumBandwidthMbps int

The maximum network bandwidth for the model deployment.

ModelId string

The OCID of the model you want to deploy.

ScalingPolicies List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicy>

The scaling policy to apply to each model of the deployment.

BandwidthMbps int

The minimum network bandwidth for the model deployment.

InstanceConfigurations []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfiguration

The model deployment instance configuration

MaximumBandwidthMbps int

The maximum network bandwidth for the model deployment.

ModelId string

The OCID of the model you want to deploy.

ScalingPolicies []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicy

The scaling policy to apply to each model of the deployment.

bandwidthMbps Integer

The minimum network bandwidth for the model deployment.

instanceConfigurations List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfiguration>

The model deployment instance configuration

maximumBandwidthMbps Integer

The maximum network bandwidth for the model deployment.

modelId String

The OCID of the model you want to deploy.

scalingPolicies List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicy>

The scaling policy to apply to each model of the deployment.

bandwidthMbps number

The minimum network bandwidth for the model deployment.

instanceConfigurations GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfiguration[]

The model deployment instance configuration

maximumBandwidthMbps number

The maximum network bandwidth for the model deployment.

modelId string

The OCID of the model you want to deploy.

scalingPolicies GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicy[]

The scaling policy to apply to each model of the deployment.

bandwidth_mbps int

The minimum network bandwidth for the model deployment.

instance_configurations Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfiguration]

The model deployment instance configuration

maximum_bandwidth_mbps int

The maximum network bandwidth for the model deployment.

model_id str

The OCID of the model you want to deploy.

scaling_policies Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicy]

The scaling policy to apply to each model of the deployment.

bandwidthMbps Number

The minimum network bandwidth for the model deployment.

instanceConfigurations List<Property Map>

The model deployment instance configuration

maximumBandwidthMbps Number

The maximum network bandwidth for the model deployment.

modelId String

The OCID of the model you want to deploy.

scalingPolicies List<Property Map>

The scaling policy to apply to each model of the deployment.

InstanceShapeName string

The shape used to launch the model deployment instances.

ModelDeploymentInstanceShapeConfigDetails List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail>

Details for the model-deployment instance shape configuration.

SubnetId string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

InstanceShapeName string

The shape used to launch the model deployment instances.

ModelDeploymentInstanceShapeConfigDetails []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail

Details for the model-deployment instance shape configuration.

SubnetId string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instanceShapeName String

The shape used to launch the model deployment instances.

modelDeploymentInstanceShapeConfigDetails List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail>

Details for the model-deployment instance shape configuration.

subnetId String

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instanceShapeName string

The shape used to launch the model deployment instances.

modelDeploymentInstanceShapeConfigDetails GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail[]

Details for the model-deployment instance shape configuration.

subnetId string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instance_shape_name str

The shape used to launch the model deployment instances.

model_deployment_instance_shape_config_details Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail]

Details for the model-deployment instance shape configuration.

subnet_id str

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instanceShapeName String

The shape used to launch the model deployment instances.

modelDeploymentInstanceShapeConfigDetails List<Property Map>

Details for the model-deployment instance shape configuration.

subnetId String

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

CpuBaseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

MemoryInGbs double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

CpuBaseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

MemoryInGbs float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpuBaseline String

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memoryInGbs Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpuBaseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memoryInGbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpu_baseline str

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memory_in_gbs float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpuBaseline String

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memoryInGbs Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

AutoScalingPolicies List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicy>

The list of autoscaling policy details.

CoolDownInSeconds int

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 600 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

InstanceCount int

The number of instances for the model deployment.

IsEnabled bool

Whether the autoscaling policy is enabled.

PolicyType string

The type of scaling policy.

AutoScalingPolicies []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicy

The list of autoscaling policy details.

CoolDownInSeconds int

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 600 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

InstanceCount int

The number of instances for the model deployment.

IsEnabled bool

Whether the autoscaling policy is enabled.

PolicyType string

The type of scaling policy.

autoScalingPolicies List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicy>

The list of autoscaling policy details.

coolDownInSeconds Integer

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 600 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instanceCount Integer

The number of instances for the model deployment.

isEnabled Boolean

Whether the autoscaling policy is enabled.

policyType String

The type of scaling policy.

autoScalingPolicies GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicy[]

The list of autoscaling policy details.

coolDownInSeconds number

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 600 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instanceCount number

The number of instances for the model deployment.

isEnabled boolean

Whether the autoscaling policy is enabled.

policyType string

The type of scaling policy.

auto_scaling_policies Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicy]

The list of autoscaling policy details.

cool_down_in_seconds int

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 600 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instance_count int

The number of instances for the model deployment.

is_enabled bool

Whether the autoscaling policy is enabled.

policy_type str

The type of scaling policy.

autoScalingPolicies List<Property Map>

The list of autoscaling policy details.

coolDownInSeconds Number

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 600 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instanceCount Number

The number of instances for the model deployment.

isEnabled Boolean

Whether the autoscaling policy is enabled.

policyType String

The type of scaling policy.

AutoScalingPolicyType string

The type of autoscaling policy.

InitialInstanceCount int

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

MaximumInstanceCount int

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

MinimumInstanceCount int

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

Rules List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRule>

The list of autoscaling policy rules.

AutoScalingPolicyType string

The type of autoscaling policy.

InitialInstanceCount int

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

MaximumInstanceCount int

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

MinimumInstanceCount int

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

Rules []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRule

The list of autoscaling policy rules.

autoScalingPolicyType String

The type of autoscaling policy.

initialInstanceCount Integer

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

maximumInstanceCount Integer

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

minimumInstanceCount Integer

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

rules List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRule>

The list of autoscaling policy rules.

autoScalingPolicyType string

The type of autoscaling policy.

initialInstanceCount number

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

maximumInstanceCount number

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

minimumInstanceCount number

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

rules GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRule[]

The list of autoscaling policy rules.

auto_scaling_policy_type str

The type of autoscaling policy.

initial_instance_count int

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

maximum_instance_count int

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

minimum_instance_count int

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

rules Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRule]

The list of autoscaling policy rules.

autoScalingPolicyType String

The type of autoscaling policy.

initialInstanceCount Number

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

maximumInstanceCount Number

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

minimumInstanceCount Number

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

rules List<Property Map>

The list of autoscaling policy rules.

MetricExpressionRuleType string

The metric expression for creating the alarm used to trigger autoscaling actions on the model deployment.

MetricType string

Metric type

ScaleInConfigurations List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration>

The scaling configuration for the predefined metric expression rule.

ScaleOutConfigurations List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration>

The scaling configuration for the predefined metric expression rule.

MetricExpressionRuleType string

The metric expression for creating the alarm used to trigger autoscaling actions on the model deployment.

MetricType string

Metric type

ScaleInConfigurations []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration

The scaling configuration for the predefined metric expression rule.

ScaleOutConfigurations []GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration

The scaling configuration for the predefined metric expression rule.

metricExpressionRuleType String

The metric expression for creating the alarm used to trigger autoscaling actions on the model deployment.

metricType String

Metric type

scaleInConfigurations List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration>

The scaling configuration for the predefined metric expression rule.

scaleOutConfigurations List<GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration>

The scaling configuration for the predefined metric expression rule.

metricExpressionRuleType string

The metric expression for creating the alarm used to trigger autoscaling actions on the model deployment.

metricType string

Metric type

scaleInConfigurations GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration[]

The scaling configuration for the predefined metric expression rule.

scaleOutConfigurations GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration[]

The scaling configuration for the predefined metric expression rule.

metric_expression_rule_type str

The metric expression for creating the alarm used to trigger autoscaling actions on the model deployment.

metric_type str

Metric type

scale_in_configurations Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration]

The scaling configuration for the predefined metric expression rule.

scale_out_configurations Sequence[datascience.GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration]

The scaling configuration for the predefined metric expression rule.

metricExpressionRuleType String

The metric expression for creating the alarm used to trigger autoscaling actions on the model deployment.

metricType String

Metric type

scaleInConfigurations List<Property Map>

The scaling configuration for the predefined metric expression rule.

scaleOutConfigurations List<Property Map>

The scaling configuration for the predefined metric expression rule.

InstanceCountAdjustment int

The value is used for adjusting the count of instances by.

PendingDuration string

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

Query string

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

ScalingConfigurationType string

The type of scaling configuration.

Threshold int

A metric value at which the scaling operation will be triggered.

InstanceCountAdjustment int

The value is used for adjusting the count of instances by.

PendingDuration string

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

Query string

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

ScalingConfigurationType string

The type of scaling configuration.

Threshold int

A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Integer

The value is used for adjusting the count of instances by.

pendingDuration String

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query String

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scalingConfigurationType String

The type of scaling configuration.

threshold Integer

A metric value at which the scaling operation will be triggered.

instanceCountAdjustment number

The value is used for adjusting the count of instances by.

pendingDuration string

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query string

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scalingConfigurationType string

The type of scaling configuration.

threshold number

A metric value at which the scaling operation will be triggered.

instance_count_adjustment int

The value is used for adjusting the count of instances by.

pending_duration str

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query str

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scaling_configuration_type str

The type of scaling configuration.

threshold int

A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Number

The value is used for adjusting the count of instances by.

pendingDuration String

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query String

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scalingConfigurationType String

The type of scaling configuration.

threshold Number

A metric value at which the scaling operation will be triggered.

InstanceCountAdjustment int

The value is used for adjusting the count of instances by.

PendingDuration string

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

Query string

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

ScalingConfigurationType string

The type of scaling configuration.

Threshold int

A metric value at which the scaling operation will be triggered.

InstanceCountAdjustment int

The value is used for adjusting the count of instances by.

PendingDuration string

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

Query string

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

ScalingConfigurationType string

The type of scaling configuration.

Threshold int

A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Integer

The value is used for adjusting the count of instances by.

pendingDuration String

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query String

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scalingConfigurationType String

The type of scaling configuration.

threshold Integer

A metric value at which the scaling operation will be triggered.

instanceCountAdjustment number

The value is used for adjusting the count of instances by.

pendingDuration string

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query string

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scalingConfigurationType string

The type of scaling configuration.

threshold number

A metric value at which the scaling operation will be triggered.

instance_count_adjustment int

The value is used for adjusting the count of instances by.

pending_duration str

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query str

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scaling_configuration_type str

The type of scaling configuration.

threshold int

A metric value at which the scaling operation will be triggered.

instanceCountAdjustment Number

The value is used for adjusting the count of instances by.

pendingDuration String

The period of time that the condition defined in the alarm must persist before the alarm state changes from "OK" to "FIRING" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to "FIRING"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to "OK."

query String

The Monitoring Query Language (MQL) expression to evaluate for the alarm. The Alarms feature of the Monitoring service interprets results for each returned time series as Boolean values, where zero represents false and a non-zero value represents true. A true value means that the trigger rule condition has been met. The query must specify a metric, statistic, interval, and trigger rule (threshold or absence). Supported values for interval: 1m-60m (also 1h). You can optionally specify dimensions and grouping functions. Supported grouping functions: grouping(), groupBy().

scalingConfigurationType String

The type of scaling configuration.

threshold Number

A metric value at which the scaling operation will be triggered.

CurrentInstanceCount int

This value is the current count of the model deployment instances.

SystemInfraType string

The infrastructure type of the model deployment.

CurrentInstanceCount int

This value is the current count of the model deployment instances.

SystemInfraType string

The infrastructure type of the model deployment.

currentInstanceCount Integer

This value is the current count of the model deployment instances.

systemInfraType String

The infrastructure type of the model deployment.

currentInstanceCount number

This value is the current count of the model deployment instances.

systemInfraType string

The infrastructure type of the model deployment.

current_instance_count int

This value is the current count of the model deployment instances.

system_infra_type str

The infrastructure type of the model deployment.

currentInstanceCount Number

This value is the current count of the model deployment instances.

systemInfraType String

The infrastructure type of the model deployment.