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

Class VertexAiDeploymentResourcePoolDedicatedResources.Builder

java.lang.Object

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

All Implemented Interfaces:

software.amazon.jsii.Builder<VertexAiDeploymentResourcePoolDedicatedResources>

Enclosing interface:

VertexAiDeploymentResourcePoolDedicatedResources

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

A builder for VertexAiDeploymentResourcePoolDedicatedResources

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
VertexAiDeploymentResourcePoolDedicatedResources.Builder	autoscalingMetricSpecs(com.hashicorp.cdktf.IResolvable autoscalingMetricSpecs)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getAutoscalingMetricSpecs()
VertexAiDeploymentResourcePoolDedicatedResources.Builder	autoscalingMetricSpecs(List<? extends VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs> autoscalingMetricSpecs)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getAutoscalingMetricSpecs()
VertexAiDeploymentResourcePoolDedicatedResources	build()	Builds the configured instance.
VertexAiDeploymentResourcePoolDedicatedResources.Builder	machineSpec(VertexAiDeploymentResourcePoolDedicatedResourcesMachineSpec machineSpec)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getMachineSpec()
VertexAiDeploymentResourcePoolDedicatedResources.Builder	maxReplicaCount(Number maxReplicaCount)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getMaxReplicaCount()
VertexAiDeploymentResourcePoolDedicatedResources.Builder	minReplicaCount(Number minReplicaCount)	Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getMinReplicaCount()

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

machineSpec

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResources.Builder machineSpec(VertexAiDeploymentResourcePoolDedicatedResourcesMachineSpec machineSpec)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getMachineSpec()

Parameters:

machineSpec - machine_spec block. 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#machine_spec VertexAiDeploymentResourcePool#machine_spec}

Returns:

this

minReplicaCount

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResources.Builder minReplicaCount(Number minReplicaCount)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getMinReplicaCount()

Parameters:

minReplicaCount - The minimum number of machine replicas this DeployedModel will be always deployed on. This parameter is required. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#min_replica_count VertexAiDeploymentResourcePool#min_replica_count}

Returns:

this

autoscalingMetricSpecs

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResources.Builder autoscalingMetricSpecs(com.hashicorp.cdktf.IResolvable autoscalingMetricSpecs)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getAutoscalingMetricSpecs()

Parameters:

autoscalingMetricSpecs - autoscaling_metric_specs block. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#autoscaling_metric_specs VertexAiDeploymentResourcePool#autoscaling_metric_specs}

Returns:

this

autoscalingMetricSpecs

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResources.Builder autoscalingMetricSpecs(List<? extends VertexAiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecs> autoscalingMetricSpecs)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getAutoscalingMetricSpecs()

Parameters:

autoscalingMetricSpecs - autoscaling_metric_specs block. Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#autoscaling_metric_specs VertexAiDeploymentResourcePool#autoscaling_metric_specs}

Returns:

this

maxReplicaCount

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResources.Builder maxReplicaCount(Number maxReplicaCount)

Sets the value of VertexAiDeploymentResourcePoolDedicatedResources.getMaxReplicaCount()

Parameters:

maxReplicaCount - The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use min_replica_count as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for max_replica_count * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type). Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/5.43.1/docs/resources/vertex_ai_deployment_resource_pool#max_replica_count VertexAiDeploymentResourcePool#max_replica_count}

Returns:

this

build

@Stability(Stable)
public VertexAiDeploymentResourcePoolDedicatedResources build()

Builds the configured instance.

Specified by:

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

Returns:

a new instance of VertexAiDeploymentResourcePoolDedicatedResources

Throws:

NullPointerException - if any required attribute was not provided