Package com.hashicorp.cdktf.providers.google.vertex_ai_deployment_resource_pool

Class VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder

java.lang.Object

com.hashicorp.cdktf.providers.google.vertex_ai_deployment_resource_pool.VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder

All Implemented Interfaces:

software.amazon.jsii.Builder<VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs>

Enclosing interface:

VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs

@Stability(Stable)
public static final class VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder
extends Object
implements software.amazon.jsii.Builder<VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs>

A builder for VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs	build()	Builds the configured instance.
VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder	metricName(String metricName)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.getMetricName()
VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder	target(Number target)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.getTarget()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

metricName

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder metricName(String metricName)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.getMetricName()

Parameters:

metricName - The resource metric name. Supported metrics: For Online Prediction: * 'aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle' * 'aiplatform.googleapis.com/prediction/online/cpu/utilization'. This parameter is required. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#metric_name VertexAiDeploymentResourcePool#metric_name}

Returns:

this

target

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.Builder target(Number target)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs.getTarget()

Parameters:

target - The target resource utilization in percentage (1% - 100%) for the given metric;. once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#target VertexAiDeploymentResourcePool#target}

Returns:

this

build

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs build()

Builds the configured instance.

Specified by:

build in interface software.amazon.jsii.Builder<VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs>

Returns:

a new instance of VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs

Throws:

NullPointerException - if any required attribute was not provided