oci.DataScience.getComputeTargets

func GetComputeTargets(ctx *Context, args *GetComputeTargetsArgs, opts ...InvokeOption) (*GetComputeTargetsResult, error)
func GetComputeTargetsOutput(ctx *Context, args *GetComputeTargetsOutputArgs, opts ...InvokeOption) GetComputeTargetsResultOutput

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

CompartmentId string

Filter results by the OCID of the compartment.

DisplayName string

Filter results by its user-friendly name.

Filters List<GetComputeTargetsFilter>

Id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

CompartmentId string

Filter results by the OCID of the compartment.

DisplayName string

Filter results by its user-friendly name.

Filters []GetComputeTargetsFilter

Id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartment_id string

Filter results by the OCID of the compartment.

display_name string

Filter results by its user-friendly name.

filters list(object)

id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartmentId String

Filter results by the OCID of the compartment.

displayName String

Filter results by its user-friendly name.

filters List<GetComputeTargetsFilter>

id String

Filter results by OCID. Must be an OCID of the correct type for the resource type.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartmentId string

Filter results by the OCID of the compartment.

displayName string

Filter results by its user-friendly name.

filters GetComputeTargetsFilter[]

id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartment_id str

Filter results by the OCID of the compartment.

display_name str

Filter results by its user-friendly name.

filters Sequence[GetComputeTargetsFilter]

id str

Filter results by OCID. Must be an OCID of the correct type for the resource type.

state str

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartmentId String

Filter results by the OCID of the compartment.

displayName String

Filter results by its user-friendly name.

filters List<Property Map>

id String

Filter results by OCID. Must be an OCID of the correct type for the resource type.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

CompartmentId string

The OCID of the compartment associated with the compute target.

ComputeTargets List<GetComputeTargetsComputeTarget>

The list of compute_targets.

DisplayName string

A user-friendly display name for the resource.

Filters List<GetComputeTargetsFilter>

Id string

The OCID of the compute target.

State string

The state of the compute target.

CompartmentId string

The OCID of the compartment associated with the compute target.

ComputeTargets []GetComputeTargetsComputeTarget

The list of compute_targets.

DisplayName string

A user-friendly display name for the resource.

Filters []GetComputeTargetsFilter

Id string

The OCID of the compute target.

State string

The state of the compute target.

compartment_id string

The OCID of the compartment associated with the compute target.

compute_targets list(object)

The list of compute_targets.

display_name string

A user-friendly display name for the resource.

filters list(object)

id string

The OCID of the compute target.

state string

The state of the compute target.

compartmentId String

The OCID of the compartment associated with the compute target.

computeTargets List<GetComputeTargetsComputeTarget>

The list of compute_targets.

displayName String

A user-friendly display name for the resource.

filters List<GetComputeTargetsFilter>

id String

The OCID of the compute target.

state String

The state of the compute target.

compartmentId string

The OCID of the compartment associated with the compute target.

computeTargets GetComputeTargetsComputeTarget[]

The list of compute_targets.

displayName string

A user-friendly display name for the resource.

filters GetComputeTargetsFilter[]

id string

The OCID of the compute target.

state string

The state of the compute target.

compartment_id str

The OCID of the compartment associated with the compute target.

compute_targets Sequence[GetComputeTargetsComputeTarget]

The list of compute_targets.

display_name str

A user-friendly display name for the resource.

filters Sequence[GetComputeTargetsFilter]

id str

The OCID of the compute target.

state str

The state of the compute target.

compartmentId String

The OCID of the compartment associated with the compute target.

computeTargets List<Property Map>

The list of compute_targets.

displayName String

A user-friendly display name for the resource.

filters List<Property Map>

id String

The OCID of the compute target.

state String

The state of the compute target.

CompartmentId string

Filter results by the OCID of the compartment.

ComputeConfigurationDetails List<GetComputeTargetsComputeTargetComputeConfigurationDetail>

Configuration details of the targeted compute.

ComputeTargetSystemDatas List<GetComputeTargetsComputeTargetComputeTargetSystemData>

System data of the compute target.

CreatedBy string

The OCID of the user who created the compute target.

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 compute target.

DisplayName string

Filter results by its user-friendly name.

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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

LifecycleDetails string

Details about the state of the compute target.

Metadata Dictionary<string, string>

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

TimeCreated string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

CompartmentId string

Filter results by the OCID of the compartment.

ComputeConfigurationDetails []GetComputeTargetsComputeTargetComputeConfigurationDetail

Configuration details of the targeted compute.

ComputeTargetSystemDatas []GetComputeTargetsComputeTargetComputeTargetSystemData

System data of the compute target.

CreatedBy string

The OCID of the user who created the compute target.

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 compute target.

DisplayName string

Filter results by its user-friendly name.

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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

LifecycleDetails string

Details about the state of the compute target.

Metadata map[string]string

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

TimeCreated string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartment_id string

Filter results by the OCID of the compartment.

compute_configuration_details list(object)

Configuration details of the targeted compute.

compute_target_system_datas list(object)

System data of the compute target.

created_by string

The OCID of the user who created the compute target.

defined_tags 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 compute target.

display_name string

Filter results by its user-friendly name.

freeform_tags 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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycle_details string

Details about the state of the compute target.

metadata map(string)

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

time_created string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartmentId String

Filter results by the OCID of the compartment.

computeConfigurationDetails List<GetComputeTargetsComputeTargetComputeConfigurationDetail>

Configuration details of the targeted compute.

computeTargetSystemDatas List<GetComputeTargetsComputeTargetComputeTargetSystemData>

System data of the compute target.

createdBy String

The OCID of the user who created the compute target.

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 compute target.

displayName String

Filter results by its user-friendly name.

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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycleDetails String

Details about the state of the compute target.

metadata Map<String,String>

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

timeCreated String

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartmentId string

Filter results by the OCID of the compartment.

computeConfigurationDetails GetComputeTargetsComputeTargetComputeConfigurationDetail[]

Configuration details of the targeted compute.

computeTargetSystemDatas GetComputeTargetsComputeTargetComputeTargetSystemData[]

System data of the compute target.

createdBy string

The OCID of the user who created the compute target.

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 compute target.

displayName string

Filter results by its user-friendly name.

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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycleDetails string

Details about the state of the compute target.

metadata {[key: string]: string}

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

timeCreated string

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartment_id str

Filter results by the OCID of the compartment.

compute_configuration_details Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetail]

Configuration details of the targeted compute.

compute_target_system_datas Sequence[GetComputeTargetsComputeTargetComputeTargetSystemData]

System data of the compute target.

created_by str

The OCID of the user who created the compute target.

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 compute target.

display_name str

Filter results by its user-friendly name.

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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycle_details str

Details about the state of the compute target.

metadata Mapping[str, str]

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

state str

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

time_created str

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

compartmentId String

Filter results by the OCID of the compartment.

computeConfigurationDetails List<Property Map>

Configuration details of the targeted compute.

computeTargetSystemDatas List<Property Map>

System data of the compute target.

createdBy String

The OCID of the user who created the compute target.

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 compute target.

displayName String

Filter results by its user-friendly name.

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

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycleDetails String

Details about the state of the compute target.

metadata Map<String>

Metadata for the compute target. The size of metadata 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 metadata is limited to 2048 bytes. Key can't be reserved Compute Target metadata.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

timeCreated String

The date and time the resource was created in the timestamp format defined by RFC3339. Example: 2020-08-06T21:10:29.41Z

ComputeType string

Type of compute target.

InstanceConfigurations List<GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfiguration>

The compute target instance configuration details for managed compute cluster type compute target.

ScalingPolicies List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicy>

The scaling policy to apply to managed compute cluster type compute target.

ComputeType string

Type of compute target.

InstanceConfigurations []GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfiguration

The compute target instance configuration details for managed compute cluster type compute target.

ScalingPolicies []GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicy

The scaling policy to apply to managed compute cluster type compute target.

compute_type string

Type of compute target.

instance_configurations list(object)

The compute target instance configuration details for managed compute cluster type compute target.

scaling_policies list(object)

The scaling policy to apply to managed compute cluster type compute target.

computeType String

Type of compute target.

instanceConfigurations List<GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfiguration>

The compute target instance configuration details for managed compute cluster type compute target.

scalingPolicies List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicy>

The scaling policy to apply to managed compute cluster type compute target.

computeType string

Type of compute target.

instanceConfigurations GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfiguration[]

The compute target instance configuration details for managed compute cluster type compute target.

scalingPolicies GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicy[]

The scaling policy to apply to managed compute cluster type compute target.

compute_type str

Type of compute target.

instance_configurations Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfiguration]

The compute target instance configuration details for managed compute cluster type compute target.

scaling_policies Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicy]

The scaling policy to apply to managed compute cluster type compute target.

computeType String

Type of compute target.

instanceConfigurations List<Property Map>

The compute target instance configuration details for managed compute cluster type compute target.

scalingPolicies List<Property Map>

The scaling policy to apply to managed compute cluster type compute target.

BootVolumeSizeInGbs int

The size of the boot volume to attach to the instance.

InstanceShape string

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

InstanceShapeDetails List<GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfigurationInstanceShapeDetail>

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

BootVolumeSizeInGbs int

The size of the boot volume to attach to the instance.

InstanceShape string

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

InstanceShapeDetails []GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfigurationInstanceShapeDetail

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

boot_volume_size_in_gbs number

The size of the boot volume to attach to the instance.

instance_shape string

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

instance_shape_details list(object)

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

bootVolumeSizeInGbs Integer

The size of the boot volume to attach to the instance.

instanceShape String

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

instanceShapeDetails List<GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfigurationInstanceShapeDetail>

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

bootVolumeSizeInGbs number

The size of the boot volume to attach to the instance.

instanceShape string

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

instanceShapeDetails GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfigurationInstanceShapeDetail[]

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

boot_volume_size_in_gbs int

The size of the boot volume to attach to the instance.

instance_shape str

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

instance_shape_details Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailInstanceConfigurationInstanceShapeDetail]

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

bootVolumeSizeInGbs Number

The size of the boot volume to attach to the instance.

instanceShape String

The shape used to launch the instances in compute target. Supported shapes can be retrieved using compute target shapes api.

instanceShapeDetails List<Property Map>

Instance shape configuration for managed compute cluster type compute target. Specify only when a flex shape is selected.

MemoryInGbs double

The total amount of memory allocated to the instance, in gigabytes.

Ocpus double

The total number of OCPUs allocated to the instance.

MemoryInGbs float64

The total amount of memory allocated to the instance, in gigabytes.

Ocpus float64

The total number of OCPUs allocated to the instance.

memory_in_gbs number

The total amount of memory allocated to the instance, in gigabytes.

ocpus number

The total number of OCPUs allocated to the instance.

memoryInGbs Double

The total amount of memory allocated to the instance, in gigabytes.

ocpus Double

The total number of OCPUs allocated to the instance.

memoryInGbs number

The total amount of memory allocated to the instance, in gigabytes.

ocpus number

The total number of OCPUs allocated to the instance.

memory_in_gbs float

The total amount of memory allocated to the instance, in gigabytes.

ocpus float

The total number of OCPUs allocated to the instance.

memoryInGbs Number

The total amount of memory allocated to the instance, in gigabytes.

ocpus Number

The total number of OCPUs allocated to the instance.

AutoScalingPolicies List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicy>

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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

InstanceCount int

The number of instances for the managed compute cluster type compute target.

IsEnabled bool

Whether the autoscaling policy is enabled.

PolicyType string

The type of scaling policy.

AutoScalingPolicies []GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicy

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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

InstanceCount int

The number of instances for the managed compute cluster type compute target.

IsEnabled bool

Whether the autoscaling policy is enabled.

PolicyType string

The type of scaling policy.

auto_scaling_policies list(object)

The list of autoscaling policy details.

cool_down_in_seconds 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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

instance_count number

The number of instances for the managed compute cluster type compute target.

is_enabled bool

Whether the autoscaling policy is enabled.

policy_type string

The type of scaling policy.

autoScalingPolicies List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicy>

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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

instanceCount Integer

The number of instances for the managed compute cluster type compute target.

isEnabled Boolean

Whether the autoscaling policy is enabled.

policyType String

The type of scaling policy.

autoScalingPolicies GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicy[]

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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

instanceCount number

The number of instances for the managed compute cluster type compute target.

isEnabled boolean

Whether the autoscaling policy is enabled.

policyType string

The type of scaling policy.

auto_scaling_policies Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicy]

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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

instance_count int

The number of instances for the managed compute cluster type compute target.

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 managed compute cluster type compute target becomes ACTIVE after the scaling operation.

instanceCount Number

The number of instances for the managed compute cluster type compute target.

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 managed compute cluster type compute target 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 managed compute cluster type compute target is allowed to increase to (scale out).

MinimumInstanceCount int

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).

Rules List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRule>

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 managed compute cluster type compute target 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 managed compute cluster type compute target is allowed to increase to (scale out).

MinimumInstanceCount int

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).

Rules []GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRule

The list of autoscaling policy rules.

auto_scaling_policy_type string

The type of autoscaling policy.

initial_instance_count number

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the managed compute cluster type compute target 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 number

For a threshold-based autoscaling policy, this value is the maximum number of instances the managed compute cluster type compute target is allowed to increase to (scale out).

minimum_instance_count number

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).

rules list(object)

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 managed compute cluster type compute target 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 managed compute cluster type compute target is allowed to increase to (scale out).

minimumInstanceCount Integer

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).

rules List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRule>

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 managed compute cluster type compute target 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 managed compute cluster type compute target is allowed to increase to (scale out).

minimumInstanceCount number

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target is allowed to decrease to (scale in).

rules GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRule[]

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 managed compute cluster type compute target 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 managed compute cluster type compute target 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 managed compute cluster type compute target is allowed to decrease to (scale in).

rules Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRule]

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 managed compute cluster type compute target 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 managed compute cluster type compute target is allowed to increase to (scale out).

minimumInstanceCount Number

For a threshold-based autoscaling policy, this value is the minimum number of instances the managed compute cluster type compute target 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 managed compute cluster type compute target .

MetricType string

Metric type

ScaleInConfigurations List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration>

The scaling configuration for the predefined metric expression rule.

ScaleOutConfigurations List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration>

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 managed compute cluster type compute target .

MetricType string

Metric type

ScaleInConfigurations []GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration

The scaling configuration for the predefined metric expression rule.

ScaleOutConfigurations []GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration

The scaling configuration for the predefined metric expression rule.

metric_expression_rule_type string

The metric expression for creating the alarm used to trigger autoscaling actions on the managed compute cluster type compute target .

metric_type string

Metric type

scale_in_configurations list(object)

The scaling configuration for the predefined metric expression rule.

scale_out_configurations list(object)

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 managed compute cluster type compute target .

metricType String

Metric type

scaleInConfigurations List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration>

The scaling configuration for the predefined metric expression rule.

scaleOutConfigurations List<GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration>

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 managed compute cluster type compute target .

metricType string

Metric type

scaleInConfigurations GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration[]

The scaling configuration for the predefined metric expression rule.

scaleOutConfigurations GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration[]

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 managed compute cluster type compute target .

metric_type str

Metric type

scale_in_configurations Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleInConfiguration]

The scaling configuration for the predefined metric expression rule.

scale_out_configurations Sequence[GetComputeTargetsComputeTargetComputeConfigurationDetailScalingPolicyAutoScalingPolicyRuleScaleOutConfiguration]

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 managed compute cluster type compute target .

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

ScalingConfigurationType string

The type of scaling configuration.

Threshold int

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

instance_count_adjustment number

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

pending_duration 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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

scaling_configuration_type string

The type of scaling configuration.

threshold number

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

ScalingConfigurationType string

The type of scaling configuration.

Threshold int

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

instance_count_adjustment number

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

pending_duration 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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

scaling_configuration_type string

The type of scaling configuration.

threshold number

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

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." The duration is specified as a string in ISO 8601 format (PT10M for ten minutes or PT1H for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M.

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(). Example of threshold alarm: CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() < 25 CPUUtilization[1m]{resourceId = "Compute_Target_OCID"}.grouping().mean() > 75

scalingConfigurationType String

The type of scaling configuration.

threshold Number

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

ComputeType string

Type of compute target.

CurrentInstanceCount int

Current count of the instances in managed compute cluster type compute target.

ComputeType string

Type of compute target.

CurrentInstanceCount int

Current count of the instances in managed compute cluster type compute target.

compute_type string

Type of compute target.

current_instance_count number

Current count of the instances in managed compute cluster type compute target.

computeType String

Type of compute target.

currentInstanceCount Integer

Current count of the instances in managed compute cluster type compute target.

computeType string

Type of compute target.

currentInstanceCount number

Current count of the instances in managed compute cluster type compute target.

compute_type str

Type of compute target.

current_instance_count int

Current count of the instances in managed compute cluster type compute target.

computeType String

Type of compute target.

currentInstanceCount Number

Current count of the instances in managed compute cluster type compute target.

Name string

Values List<string>

Regex bool

Name string

Values []string

Regex bool

name string

values list(string)

regex bool

name String

values List<String>

regex Boolean

name string

values string[]

regex boolean

name str

values Sequence[str]

regex bool

name String

values List<String>

regex Boolean