Autoscalar

Represents an Autoscaler resource.

Autoscalers allow you to automatically scale virtual machine instances in managed instance groups according to an autoscaling policy that you define.

To get more information about Autoscaler, see:

API documentation
How-to Guides
- Autoscaling Groups of Instances

Deprecated: gcp.compute.Autoscalar has been deprecated in favor of gcp.compute.Autoscaler

Create a Autoscalar Resource

new Autoscalar(name: string, args: AutoscalarArgs, opts?: CustomResourceOptions);

def Autoscalar(resource_name, opts=None, autoscaling_policy=None, description=None, name=None, project=None, target=None, zone=None, __props__=None);

func NewAutoscalar(ctx *Context, name string, args AutoscalarArgs, opts ...ResourceOption) (*Autoscalar, error)

public Autoscalar(string name, AutoscalarArgs args, CustomResourceOptions? opts = null)

name string: The unique name of the resource.
args AutoscalarArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
opts ResourceOptions: A bag of options that control this resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args AutoscalarArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args AutoscalarArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

Autoscalar Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Programming Model docs.

Inputs

The Autoscalar resource accepts the following input properties:

AutoscalingPolicy AutoscalarAutoscalingPolicyArgs: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
Target string: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
Description string: An optional description of this resource.
Name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
Project string: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Zone string: URL of the zone where the instance group resides.

AutoscalingPolicy AutoscalarAutoscalingPolicy: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
Target string: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
Description string: An optional description of this resource.
Name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
Project string: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Zone string: URL of the zone where the instance group resides.

autoscalingPolicy AutoscalarAutoscalingPolicy: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
target string: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
description string: An optional description of this resource.
name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
project string: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
zone string: URL of the zone where the instance group resides.

autoscaling_policy Dict[AutoscalarAutoscalingPolicy]: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
target str: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
description str: An optional description of this resource.
name str: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
project str: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
zone str: URL of the zone where the instance group resides.

Outputs

All input properties are implicitly available as output properties. Additionally, the Autoscalar resource produces the following output properties:

CreationTimestamp string: Creation timestamp in RFC3339 text format.
Id string: The provider-assigned unique ID for this managed resource.
SelfLink string: The URI of the created resource.

CreationTimestamp string: Creation timestamp in RFC3339 text format.
Id string: The provider-assigned unique ID for this managed resource.
SelfLink string: The URI of the created resource.

creationTimestamp string: Creation timestamp in RFC3339 text format.
id string: The provider-assigned unique ID for this managed resource.
selfLink string: The URI of the created resource.

creation_timestamp str: Creation timestamp in RFC3339 text format.
id str: The provider-assigned unique ID for this managed resource.
self_link str: The URI of the created resource.

Look up an Existing Autoscalar Resource

Get an existing Autoscalar resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: AutoscalarState, opts?: CustomResourceOptions): Autoscalar

static get(resource_name, id, opts=None, autoscaling_policy=None, creation_timestamp=None, description=None, name=None, project=None, self_link=None, target=None, zone=None, __props__=None);

func GetAutoscalar(ctx *Context, name string, id IDInput, state *AutoscalarState, opts ...ResourceOption) (*Autoscalar, error)

public static Autoscalar Get(string name, Input<string> id, AutoscalarState? state, CustomResourceOptions? opts = null)

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

resource_name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

The following state arguments are supported:

AutoscalingPolicy AutoscalarAutoscalingPolicyArgs: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
CreationTimestamp string: Creation timestamp in RFC3339 text format.
Description string: An optional description of this resource.
Name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
Project string: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
SelfLink string: The URI of the created resource.
Target string: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
Zone string: URL of the zone where the instance group resides.

AutoscalingPolicy AutoscalarAutoscalingPolicy: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
CreationTimestamp string: Creation timestamp in RFC3339 text format.
Description string: An optional description of this resource.
Name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
Project string: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
SelfLink string: The URI of the created resource.
Target string: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
Zone string: URL of the zone where the instance group resides.

autoscalingPolicy AutoscalarAutoscalingPolicy: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
creationTimestamp string: Creation timestamp in RFC3339 text format.
description string: An optional description of this resource.
name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
project string: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
selfLink string: The URI of the created resource.
target string: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
zone string: URL of the zone where the instance group resides.

autoscaling_policy Dict[AutoscalarAutoscalingPolicy]: The configuration parameters for the autoscaling algorithm. You can define one or more of the policies for an autoscaler: cpuUtilization, customMetricUtilizations, and loadBalancingUtilization. If none of these are specified, the default will be to autoscale based on cpuUtilization to 0.6 or 60%. Structure is documented below.
creation_timestamp str: Creation timestamp in RFC3339 text format.
description str: An optional description of this resource.
name str: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
project str: The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
self_link str: The URI of the created resource.
target str: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
zone str: URL of the zone where the instance group resides.

Supporting Types

AutoscalarAutoscalingPolicy

See the input and output API doc for this type.

MaxReplicas int: The maximum number of instances that the autoscaler can scale up to. This is required when creating or updating an autoscaler. The maximum number of replicas should not be lower than minimal number of replicas.
MinReplicas int: The minimum number of replicas that the autoscaler can scale down to. This cannot be less than 0. If not provided, autoscaler will choose a default value depending on maximum number of instances allowed.
CooldownPeriod int: The number of seconds that the autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. The default time autoscaler waits is 60 seconds. Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
CpuUtilization AutoscalarAutoscalingPolicyCpuUtilizationArgs: Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group. Structure is documented below.
LoadBalancingUtilization AutoscalarAutoscalingPolicyLoadBalancingUtilizationArgs: Configuration parameters of autoscaling based on a load balancer. Structure is documented below.
Metrics List<AutoscalarAutoscalingPolicyMetricArgs>: Configuration parameters of autoscaling based on a custom metric. Structure is documented below.
Mode string: Defines operating mode for this policy.
ScaleDownControl AutoscalarAutoscalingPolicyScaleDownControlArgs

MaxReplicas int: The maximum number of instances that the autoscaler can scale up to. This is required when creating or updating an autoscaler. The maximum number of replicas should not be lower than minimal number of replicas.
MinReplicas int: The minimum number of replicas that the autoscaler can scale down to. This cannot be less than 0. If not provided, autoscaler will choose a default value depending on maximum number of instances allowed.
CooldownPeriod int: The number of seconds that the autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. The default time autoscaler waits is 60 seconds. Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
CpuUtilization AutoscalarAutoscalingPolicyCpuUtilization: Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group. Structure is documented below.
LoadBalancingUtilization AutoscalarAutoscalingPolicyLoadBalancingUtilization: Configuration parameters of autoscaling based on a load balancer. Structure is documented below.
Metrics []AutoscalarAutoscalingPolicyMetric: Configuration parameters of autoscaling based on a custom metric. Structure is documented below.
Mode string: Defines operating mode for this policy.
ScaleDownControl AutoscalarAutoscalingPolicyScaleDownControl

maxReplicas number: The maximum number of instances that the autoscaler can scale up to. This is required when creating or updating an autoscaler. The maximum number of replicas should not be lower than minimal number of replicas.
minReplicas number: The minimum number of replicas that the autoscaler can scale down to. This cannot be less than 0. If not provided, autoscaler will choose a default value depending on maximum number of instances allowed.
cooldownPeriod number: The number of seconds that the autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. The default time autoscaler waits is 60 seconds. Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
cpuUtilization AutoscalarAutoscalingPolicyCpuUtilization: Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group. Structure is documented below.
loadBalancingUtilization AutoscalarAutoscalingPolicyLoadBalancingUtilization: Configuration parameters of autoscaling based on a load balancer. Structure is documented below.
metrics AutoscalarAutoscalingPolicyMetric[]: Configuration parameters of autoscaling based on a custom metric. Structure is documented below.
mode string: Defines operating mode for this policy.
scaleDownControl AutoscalarAutoscalingPolicyScaleDownControl

maxReplicas float: The maximum number of instances that the autoscaler can scale up to. This is required when creating or updating an autoscaler. The maximum number of replicas should not be lower than minimal number of replicas.
minReplicas float: The minimum number of replicas that the autoscaler can scale down to. This cannot be less than 0. If not provided, autoscaler will choose a default value depending on maximum number of instances allowed.
cooldownPeriod float: The number of seconds that the autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. The default time autoscaler waits is 60 seconds. Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
cpuUtilization Dict[AutoscalarAutoscalingPolicyCpuUtilization]: Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group. Structure is documented below.
loadBalancingUtilization Dict[AutoscalarAutoscalingPolicyLoadBalancingUtilization]: Configuration parameters of autoscaling based on a load balancer. Structure is documented below.
metrics List[AutoscalarAutoscalingPolicyMetric]: Configuration parameters of autoscaling based on a custom metric. Structure is documented below.
mode str: Defines operating mode for this policy.
scaleDownControl Dict[AutoscalarAutoscalingPolicyScaleDownControl]

AutoscalarAutoscalingPolicyCpuUtilization

See the input and output API doc for this type.

Target double: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

Target float64: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

target number: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

target float: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

AutoscalarAutoscalingPolicyLoadBalancingUtilization

See the input and output API doc for this type.

Target double: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

Target float64: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

target number: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

target float: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.

AutoscalarAutoscalingPolicyMetric

See the input and output API doc for this type.

Name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
Filter string: A filter string to be used as the filter string for a Stackdriver Monitoring TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. You can only use the AND operator for joining selectors. You can only use direct equality comparison operator (=) without any functions for each selector. You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. You should provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
SingleInstanceAssignment double: If scaling is based on a per-group metric value that represents the total amount of work to be done or resource usage, set this value to an amount assigned for a single instance of the scaled group. The autoscaler will keep the number of instances proportional to the value of this metric, the metric itself should not change value due to group resizing. For example, a good metric to use with the target is pubsub.googleapis.com/subscription/num_undelivered_messages or a custom metric exporting the total number of requests coming to your instances. A bad example would be a metric exporting an average or median latency, since this value can’t include a chunk assignable to a single instance, it could be better used with utilization_target instead.
Target double: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
Type string: Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

Name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
Filter string: A filter string to be used as the filter string for a Stackdriver Monitoring TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. You can only use the AND operator for joining selectors. You can only use direct equality comparison operator (=) without any functions for each selector. You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. You should provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
SingleInstanceAssignment float64: If scaling is based on a per-group metric value that represents the total amount of work to be done or resource usage, set this value to an amount assigned for a single instance of the scaled group. The autoscaler will keep the number of instances proportional to the value of this metric, the metric itself should not change value due to group resizing. For example, a good metric to use with the target is pubsub.googleapis.com/subscription/num_undelivered_messages or a custom metric exporting the total number of requests coming to your instances. A bad example would be a metric exporting an average or median latency, since this value can’t include a chunk assignable to a single instance, it could be better used with utilization_target instead.
Target float64: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
Type string: Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

name string: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
filter string: A filter string to be used as the filter string for a Stackdriver Monitoring TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. You can only use the AND operator for joining selectors. You can only use direct equality comparison operator (=) without any functions for each selector. You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. You should provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
singleInstanceAssignment number: If scaling is based on a per-group metric value that represents the total amount of work to be done or resource usage, set this value to an amount assigned for a single instance of the scaled group. The autoscaler will keep the number of instances proportional to the value of this metric, the metric itself should not change value due to group resizing. For example, a good metric to use with the target is pubsub.googleapis.com/subscription/num_undelivered_messages or a custom metric exporting the total number of requests coming to your instances. A bad example would be a metric exporting an average or median latency, since this value can’t include a chunk assignable to a single instance, it could be better used with utilization_target instead.
target number: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
type string: Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

name str: The identifier (type) of the Stackdriver Monitoring metric. The metric cannot have negative values. The metric must have a value type of INT64 or DOUBLE.
filter str: A filter string to be used as the filter string for a Stackdriver Monitoring TimeSeries.list API call. This filter is used to select a specific TimeSeries for the purpose of autoscaling and to determine whether the metric is exporting per-instance or per-group data. You can only use the AND operator for joining selectors. You can only use direct equality comparison operator (=) without any functions for each selector. You can specify the metric in both the filter string and in the metric field. However, if specified in both places, the metric must be identical. The monitored resource type determines what kind of values are expected for the metric. If it is a gce_instance, the autoscaler expects the metric to include a separate TimeSeries for each instance in a group. In such a case, you cannot filter on resource labels. If the resource type is any other value, the autoscaler expects this metric to contain values that apply to the entire autoscaled instance group and resource label filtering can be performed to point autoscaler at the correct TimeSeries to scale upon. This is called a per-group metric for the purpose of autoscaling. If not specified, the type defaults to gce_instance. You should provide a filter that is selective enough to pick just one TimeSeries for the autoscaled group or for each of the instances (if you are using gce_instance resource type). If multiple TimeSeries are returned upon the query execution, the autoscaler will sum their respective values to obtain its scaling value.
singleInstanceAssignment float: If scaling is based on a per-group metric value that represents the total amount of work to be done or resource usage, set this value to an amount assigned for a single instance of the scaled group. The autoscaler will keep the number of instances proportional to the value of this metric, the metric itself should not change value due to group resizing. For example, a good metric to use with the target is pubsub.googleapis.com/subscription/num_undelivered_messages or a custom metric exporting the total number of requests coming to your instances. A bad example would be a metric exporting an average or median latency, since this value can’t include a chunk assignable to a single instance, it could be better used with utilization_target instead.
target float: Fraction of backend capacity utilization (set in HTTP(s) load balancing configuration) that autoscaler should maintain. Must be a positive float value. If not defined, the default is 0.8.
type str: Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

AutoscalarAutoscalingPolicyScaleDownControl

See the input and output API doc for this type.

MaxScaledDownReplicas AutoscalarAutoscalingPolicyScaleDownControlMaxScaledDownReplicasArgs: A nested object resource Structure is documented below.
TimeWindowSec int: How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

MaxScaledDownReplicas AutoscalarAutoscalingPolicyScaleDownControlMaxScaledDownReplicas: A nested object resource Structure is documented below.
TimeWindowSec int: How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

maxScaledDownReplicas AutoscalarAutoscalingPolicyScaleDownControlMaxScaledDownReplicas: A nested object resource Structure is documented below.
timeWindowSec number: How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

maxScaledDownReplicas Dict[AutoscalarAutoscalingPolicyScaleDownControlMaxScaledDownReplicas]: A nested object resource Structure is documented below.
timeWindowSec float: How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

AutoscalarAutoscalingPolicyScaleDownControlMaxScaledDownReplicas

See the input and output API doc for this type.

Fixed int: Specifies a fixed number of VM instances. This must be a positive integer.
Percent int: Specifies a percentage of instances between 0 to 100%, inclusive. For example, specify 80 for 80%.

Fixed int: Specifies a fixed number of VM instances. This must be a positive integer.
Percent int: Specifies a percentage of instances between 0 to 100%, inclusive. For example, specify 80 for 80%.

fixed number: Specifies a fixed number of VM instances. This must be a positive integer.
percent number: Specifies a percentage of instances between 0 to 100%, inclusive. For example, specify 80 for 80%.

fixed float: Specifies a fixed number of VM instances. This must be a positive integer.
percent float: Specifies a percentage of instances between 0 to 100%, inclusive. For example, specify 80 for 80%.

Package Details

Repository: https://github.com/pulumi/pulumi-gcp
License: Apache-2.0
Notes: This Pulumi package is based on the google-beta Terraform Provider.

The Pulumi Platform

Get Started

Migrate to Pulumi

Solutions for All Teams and Engineers

Any Code

Any Cloud

Autoscalar

Create a Autoscalar Resource

Autoscalar Resource Properties

Inputs

Outputs

Look up an Existing Autoscalar Resource

Supporting Types

AutoscalarAutoscalingPolicy

AutoscalarAutoscalingPolicyCpuUtilization

AutoscalarAutoscalingPolicyLoadBalancingUtilization

AutoscalarAutoscalingPolicyMetric

AutoscalarAutoscalingPolicyScaleDownControl

AutoscalarAutoscalingPolicyScaleDownControlMaxScaledDownReplicas

Package Details

On This Page