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Oracle Cloud Infrastructure v1.27.0 published on Friday, Mar 15, 2024 by Pulumi

oci.DataScience.getModelDeployment

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Oracle Cloud Infrastructure v1.27.0 published on Friday, Mar 15, 2024 by Pulumi

    This data source provides details about a specific Model Deployment resource in Oracle Cloud Infrastructure Datascience service.

    Retrieves the model deployment for the specified modelDeploymentId.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
    import * as oci from "@pulumi/oci";
    
    const testModelDeployment = oci.DataScience.getModelDeployment({
        modelDeploymentId: oci_datascience_model_deployment.test_model_deployment.id,
    });
    
    import pulumi
    import pulumi_oci as oci
    
    test_model_deployment = oci.DataScience.get_model_deployment(model_deployment_id=oci_datascience_model_deployment["test_model_deployment"]["id"])
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-oci/sdk/go/oci/DataScience"
    	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
    )
    
    func main() {
    	pulumi.Run(func(ctx *pulumi.Context) error {
    		_, err := DataScience.GetModelDeployment(ctx, &datascience.GetModelDeploymentArgs{
    			ModelDeploymentId: oci_datascience_model_deployment.Test_model_deployment.Id,
    		}, nil)
    		if err != nil {
    			return err
    		}
    		return nil
    	})
    }
    
    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using Oci = Pulumi.Oci;
    
    return await Deployment.RunAsync(() => 
    {
        var testModelDeployment = Oci.DataScience.GetModelDeployment.Invoke(new()
        {
            ModelDeploymentId = oci_datascience_model_deployment.Test_model_deployment.Id,
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.oci.DataScience.DataScienceFunctions;
    import com.pulumi.oci.DataScience.inputs.GetModelDeploymentArgs;
    import java.util.List;
    import java.util.ArrayList;
    import java.util.Map;
    import java.io.File;
    import java.nio.file.Files;
    import java.nio.file.Paths;
    
    public class App {
        public static void main(String[] args) {
            Pulumi.run(App::stack);
        }
    
        public static void stack(Context ctx) {
            final var testModelDeployment = DataScienceFunctions.getModelDeployment(GetModelDeploymentArgs.builder()
                .modelDeploymentId(oci_datascience_model_deployment.test_model_deployment().id())
                .build());
    
        }
    }
    
    variables:
      testModelDeployment:
        fn::invoke:
          Function: oci:DataScience:getModelDeployment
          Arguments:
            modelDeploymentId: ${oci_datascience_model_deployment.test_model_deployment.id}
    

    Using getModelDeployment

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getModelDeployment(args: GetModelDeploymentArgs, opts?: InvokeOptions): Promise<GetModelDeploymentResult>
    function getModelDeploymentOutput(args: GetModelDeploymentOutputArgs, opts?: InvokeOptions): Output<GetModelDeploymentResult>
    def get_model_deployment(model_deployment_id: Optional[str] = None,
                             opts: Optional[InvokeOptions] = None) -> GetModelDeploymentResult
    def get_model_deployment_output(model_deployment_id: Optional[pulumi.Input[str]] = None,
                             opts: Optional[InvokeOptions] = None) -> Output[GetModelDeploymentResult]
    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.

    public static class GetModelDeployment 
    {
        public static Task<GetModelDeploymentResult> InvokeAsync(GetModelDeploymentArgs args, InvokeOptions? opts = null)
        public static Output<GetModelDeploymentResult> Invoke(GetModelDeploymentInvokeArgs args, InvokeOptions? opts = null)
    }
    public static CompletableFuture<GetModelDeploymentResult> getModelDeployment(GetModelDeploymentArgs args, InvokeOptions options)
    // Output-based functions aren't available in Java yet
    
    fn::invoke:
      function: oci:DataScience/getModelDeployment:getModelDeployment
      arguments:
        # arguments dictionary

    The following arguments are supported:

    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.

    getModelDeployment Result

    The following output properties are available:

    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, object>
    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, object>
    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.
    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]interface{}
    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]interface{}
    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.
    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,Object>
    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,Object>
    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.
    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]: any}
    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]: any}
    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.
    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 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, Any]
    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, Any]
    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 GetModelDeploymentModelDeploymentConfigurationDetail]
    The model deployment configuration details.
    model_deployment_id str
    model_deployment_system_datas GetModelDeploymentModelDeploymentSystemData]
    Model deployment system data.
    model_deployment_url str
    The URL to interact with the model deployment.
    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<Any>
    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<Any>
    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.
    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

    Supporting Types

    GetModelDeploymentCategoryLogDetail

    GetModelDeploymentCategoryLogDetailAccess

    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.

    GetModelDeploymentCategoryLogDetailPredict

    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.

    GetModelDeploymentModelDeploymentConfigurationDetail

    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 GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail]
    The configuration to carry the environment details thats used in Model Deployment creation
    model_configuration_details 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.

    GetModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail

    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, object>
    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]interface{}
    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,Object>
    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]: any}
    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, Any]
    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<Any>
    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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail

    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 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 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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfiguration

    instanceShapeName String
    The shape used to launch the model deployment instances.
    modelDeploymentInstanceShapeConfigDetails List<Property Map>
    Details for the model-deployment instance shape configuration.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail

    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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicy

    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 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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicy

    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 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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRule

    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 GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration]
    The scaling configuration for the predefined metric expression rule.
    scale_out_configurations 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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration

    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.

    GetModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration

    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.

    GetModelDeploymentModelDeploymentSystemData

    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.

    Package Details

    Repository
    oci pulumi/pulumi-oci
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the oci Terraform Provider.
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    Oracle Cloud Infrastructure v1.27.0 published on Friday, Mar 15, 2024 by Pulumi