google.cloud.gcp_compute_autoscaler module – Creates a GCP Autoscaler

Note

This module is part of the google.cloud collection (version 1.4.1).

You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.

To install it, use: ansible-galaxy collection install google.cloud. You need further requirements to be able to use this module, see Requirements for details.

To use it in a playbook, specify: google.cloud.gcp_compute_autoscaler.

Note

The google.cloud collection will be removed from Ansible 12 due to violations of the Ansible inclusion requirements. The collection has unresolved sanity test failures. See the discussion thread for more information.

Synopsis

  • 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.

Requirements

The below requirements are needed on the host that executes this module.

  • python >= 2.6

  • requests >= 2.18.4

  • google-auth >= 1.3.0

Parameters

Parameter

Comments

access_token

string

An OAuth2 access token if credential type is accesstoken.

auth_kind

string / required

The type of credential used.

Choices:

  • "application"

  • "machineaccount"

  • "serviceaccount"

  • "accesstoken"

autoscaling_policy

dictionary / required

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%.

cool_down_period_sec

aliases: cooldownPeriod

integer

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.

Default: 60

cpu_utilization

dictionary

Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.

predictive_method

string

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: - NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics.

  • OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.

Default: "NONE"

utilization_target

aliases: target

string

The target CPU utilization that the autoscaler should maintain.

Must be a float value in the range (0, 1]. If not specified, the default is 0.6.

If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.

If the average CPU is above the target utilization, the autoscaler scales up until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.

custom_metric_utilizations

aliases: metric

list / elements=dictionary

Configuration parameters of autoscaling based on a custom metric.

metric

aliases: name

string / required

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.

utilization_target

aliases: target

string

The target value of the metric that autoscaler should maintain. This must be a positive value. A utilization metric scales number of virtual machines handling requests to increase or decrease proportionally to the metric.

For example, a good metric to use as a utilizationTarget is www.googleapis.com/compute/instance/network/received_bytes_count.

The autoscaler will work to keep this value constant for each of the instances.

utilization_target_type

aliases: type

string

Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

Some valid choices include: “GAUGE”, “DELTA_PER_SECOND”, “DELTA_PER_MINUTE”

load_balancing_utilization

dictionary

Configuration parameters of autoscaling based on a load balancer.

utilization_target

aliases: 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.

max_num_replicas

aliases: maxReplicas

integer / required

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.

min_num_replicas

aliases: minReplicas

integer

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.

mode

string

Defines operating mode for this policy.

Some valid choices include: “OFF”, “ONLY_UP”, “ON”

Default: "ON"

scale_in_control

dictionary

Defines scale in controls to reduce the risk of response latency and outages due to abrupt scale-in events .

max_scaled_in_replicas

dictionary

A nested object resource.

fixed

integer

Specifies a fixed number of VM instances. This must be a positive integer.

percent

integer

Specifies a percentage of instances between 0 to 100%, inclusive.

For example, specify 80 for 80%.

time_window_sec

integer

How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

description

string

An optional description of this resource.

env_type

string

Specifies which Ansible environment you’re running this module within.

This should not be set unless you know what you’re doing.

This only alters the User Agent string for any API requests.

name

string / required

Name of the resource. The name must be 1-63 characters long and match the regular expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.

project

string

The Google Cloud Platform project to use.

scopes

list / elements=string

Array of scopes to be used

service_account_contents

jsonarg

The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.

service_account_email

string

An optional service account email address if machineaccount is selected and the user does not wish to use the default email.

service_account_file

path

The path of a Service Account JSON file if serviceaccount is selected as type.

state

string

Whether the given object should exist in GCP

Choices:

  • "present" ← (default)

  • "absent"

target

dictionary / required

URL of the managed instance group that this autoscaler will scale.

This field represents a link to a InstanceGroupManager resource in GCP. It can be specified in two ways. First, you can place a dictionary with key ‘selfLink’ and value of your resource’s selfLink Alternatively, you can add `register: name-of-resource` to a gcp_compute_instance_group_manager task and then set this target field to “{{ name-of-resource }}”

zone

string / required

URL of the zone where the instance group resides.

Notes

Note

  • API Reference: https://cloud.google.com/compute/docs/reference/rest/v1/autoscalers

  • Autoscaling Groups of Instances: https://cloud.google.com/compute/docs/autoscaler/

  • for authentication, you can set service_account_file using the GCP_SERVICE_ACCOUNT_FILE env variable.

  • for authentication, you can set service_account_contents using the GCP_SERVICE_ACCOUNT_CONTENTS env variable.

  • For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.

  • For authentication, you can set access_token using the GCP_ACCESS_TOKEN env variable.

  • For authentication, you can set auth_kind using the GCP_AUTH_KIND env variable.

  • For authentication, you can set scopes using the GCP_SCOPES env variable.

  • Environment variables values will only be used if the playbook values are not set.

  • The service_account_email and service_account_file options are mutually exclusive.

Examples

- name: create a network
  google.cloud.gcp_compute_network:
    name: network-instancetemplate
    project: "{{ gcp_project }}"
    auth_kind: "{{ gcp_cred_kind }}"
    service_account_file: "{{ gcp_cred_file }}"
    state: present
  register: network

- name: create a address
  google.cloud.gcp_compute_address:
    name: address-instancetemplate
    region: us-central1
    project: "{{ gcp_project }}"
    auth_kind: "{{ gcp_cred_kind }}"
    service_account_file: "{{ gcp_cred_file }}"
    state: present
  register: address

- name: create a instance template
  google.cloud.gcp_compute_instance_template:
    name: "{{ resource_name }}"
    properties:
      disks:
      - auto_delete: 'true'
        boot: 'true'
        initialize_params:
          source_image: projects/ubuntu-os-cloud/global/images/family/ubuntu-1604-lts
      machine_type: n1-standard-1
      network_interfaces:
      - network: "{{ network }}"
        access_configs:
        - name: test-config
          type: ONE_TO_ONE_NAT
          nat_ip: "{{ address }}"
    project: "{{ gcp_project }}"
    auth_kind: "{{ gcp_cred_kind }}"
    service_account_file: "{{ gcp_cred_file }}"
    state: present
  register: instancetemplate

- name: create a instance group manager
  google.cloud.gcp_compute_instance_group_manager:
    name: "{{ resource_name }}"
    base_instance_name: test1-child
    instance_template: "{{ instancetemplate }}"
    target_size: 3
    zone: us-central1-a
    project: "{{ gcp_project }}"
    auth_kind: "{{ gcp_cred_kind }}"
    service_account_file: "{{ gcp_cred_file }}"
    state: present
  register: igm

- name: create a autoscaler
  google.cloud.gcp_compute_autoscaler:
    name: test_object
    zone: us-central1-a
    target: "{{ igm }}"
    autoscaling_policy:
      max_num_replicas: 5
      min_num_replicas: 1
      cool_down_period_sec: 60
      cpu_utilization:
        utilization_target: 0.5
    project: test_project
    auth_kind: serviceaccount
    service_account_file: "/tmp/auth.pem"
    state: present

Return Values

Common return values are documented here, the following are the fields unique to this module:

Key

Description

autoscalingPolicy

complex

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%.

Returned: success

coolDownPeriodSec

integer

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.

Returned: success

cpuUtilization

complex

Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.

Returned: success

predictiveMethod

string

Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: - NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics.

  • OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.

Returned: success

utilizationTarget

string

The target CPU utilization that the autoscaler should maintain.

Must be a float value in the range (0, 1]. If not specified, the default is 0.6.

If the CPU level is below the target utilization, the autoscaler scales down the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.

If the average CPU is above the target utilization, the autoscaler scales up until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.

Returned: success

customMetricUtilizations

complex

Configuration parameters of autoscaling based on a custom metric.

Returned: success

metric

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.

Returned: success

utilizationTarget

string

The target value of the metric that autoscaler should maintain. This must be a positive value. A utilization metric scales number of virtual machines handling requests to increase or decrease proportionally to the metric.

For example, a good metric to use as a utilizationTarget is www.googleapis.com/compute/instance/network/received_bytes_count.

The autoscaler will work to keep this value constant for each of the instances.

Returned: success

utilizationTargetType

string

Defines how target utilization value is expressed for a Stackdriver Monitoring metric.

Returned: success

loadBalancingUtilization

complex

Configuration parameters of autoscaling based on a load balancer.

Returned: success

utilizationTarget

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.

Returned: success

maxNumReplicas

integer

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.

Returned: success

minNumReplicas

integer

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.

Returned: success

mode

string

Defines operating mode for this policy.

Returned: success

scaleInControl

complex

Defines scale in controls to reduce the risk of response latency and outages due to abrupt scale-in events .

Returned: success

maxScaledInReplicas

complex

A nested object resource.

Returned: success

fixed

integer

Specifies a fixed number of VM instances. This must be a positive integer.

Returned: success

percent

integer

Specifies a percentage of instances between 0 to 100%, inclusive.

For example, specify 80 for 80%.

Returned: success

timeWindowSec

integer

How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

Returned: success

creationTimestamp

string

Creation timestamp in RFC3339 text format.

Returned: success

description

string

An optional description of this resource.

Returned: success

id

integer

Unique identifier for the resource.

Returned: success

name

string

Name of the resource. The name must be 1-63 characters long and match the regular expression `[a-z]([-a-z0-9]*[a-z0-9])?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.

Returned: success

target

dictionary

URL of the managed instance group that this autoscaler will scale.

Returned: success

zone

string

URL of the zone where the instance group resides.

Returned: success

Authors

  • Google Inc. (@googlecloudplatform)