Class: Google::Apis::ComputeV1::AutoscalingPolicy
- Inherits:
-
Object
- Object
- Google::Apis::ComputeV1::AutoscalingPolicy
- Includes:
- Google::Apis::Core::Hashable, Google::Apis::Core::JsonObjectSupport
- Defined in:
- lib/google/apis/compute_v1/classes.rb,
lib/google/apis/compute_v1/representations.rb,
lib/google/apis/compute_v1/representations.rb
Overview
Cloud Autoscaler policy.
Instance Attribute Summary collapse
-
#cool_down_period_sec ⇒ Fixnum
The number of seconds that the autoscaler waits before it starts collecting information from a new instance.
-
#cpu_utilization ⇒ Google::Apis::ComputeV1::AutoscalingPolicyCpuUtilization
CPU utilization policy.
-
#custom_metric_utilizations ⇒ Array<Google::Apis::ComputeV1::AutoscalingPolicyCustomMetricUtilization>
Configuration parameters of autoscaling based on a custom metric.
-
#load_balancing_utilization ⇒ Google::Apis::ComputeV1::AutoscalingPolicyLoadBalancingUtilization
Configuration parameters of autoscaling based on load balancing.
-
#max_num_replicas ⇒ Fixnum
The maximum number of instances that the autoscaler can scale out to.
-
#min_num_replicas ⇒ Fixnum
The minimum number of replicas that the autoscaler can scale in to.
-
#mode ⇒ String
Defines operating mode for this policy.
-
#scale_in_control ⇒ Google::Apis::ComputeV1::AutoscalingPolicyScaleInControl
Configuration that allows for slower scale in so that even if Autoscaler recommends an abrupt scale in of a MIG, it will be throttled as specified by the parameters below.
-
#scaling_schedules ⇒ Hash<String,Google::Apis::ComputeV1::AutoscalingPolicyScalingSchedule>
Scaling schedules defined for an autoscaler.
Instance Method Summary collapse
-
#initialize(**args) ⇒ AutoscalingPolicy
constructor
A new instance of AutoscalingPolicy.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ AutoscalingPolicy
Returns a new instance of AutoscalingPolicy.
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# File 'lib/google/apis/compute_v1/classes.rb', line 2170 def initialize(**args) update!(**args) end |
Instance Attribute Details
#cool_down_period_sec ⇒ Fixnum
The number of seconds that the autoscaler waits 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.
Corresponds to the JSON property coolDownPeriodSec
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# File 'lib/google/apis/compute_v1/classes.rb', line 2119 def cool_down_period_sec @cool_down_period_sec end |
#cpu_utilization ⇒ Google::Apis::ComputeV1::AutoscalingPolicyCpuUtilization
CPU utilization policy.
Corresponds to the JSON property cpuUtilization
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# File 'lib/google/apis/compute_v1/classes.rb', line 2124 def cpu_utilization @cpu_utilization end |
#custom_metric_utilizations ⇒ Array<Google::Apis::ComputeV1::AutoscalingPolicyCustomMetricUtilization>
Configuration parameters of autoscaling based on a custom metric.
Corresponds to the JSON property customMetricUtilizations
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# File 'lib/google/apis/compute_v1/classes.rb', line 2129 def custom_metric_utilizations @custom_metric_utilizations end |
#load_balancing_utilization ⇒ Google::Apis::ComputeV1::AutoscalingPolicyLoadBalancingUtilization
Configuration parameters of autoscaling based on load balancing.
Corresponds to the JSON property loadBalancingUtilization
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# File 'lib/google/apis/compute_v1/classes.rb', line 2134 def load_balancing_utilization @load_balancing_utilization end |
#max_num_replicas ⇒ Fixnum
The maximum number of instances that the autoscaler can scale out to. This is
required when creating or updating an autoscaler. The maximum number of
replicas must not be lower than minimal number of replicas.
Corresponds to the JSON property maxNumReplicas
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# File 'lib/google/apis/compute_v1/classes.rb', line 2141 def max_num_replicas @max_num_replicas end |
#min_num_replicas ⇒ Fixnum
The minimum number of replicas that the autoscaler can scale in to. This
cannot be less than 0. If not provided, autoscaler chooses a default value
depending on maximum number of instances allowed.
Corresponds to the JSON property minNumReplicas
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# File 'lib/google/apis/compute_v1/classes.rb', line 2148 def min_num_replicas @min_num_replicas end |
#mode ⇒ String
Defines operating mode for this policy.
Corresponds to the JSON property mode
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# File 'lib/google/apis/compute_v1/classes.rb', line 2153 def mode @mode end |
#scale_in_control ⇒ Google::Apis::ComputeV1::AutoscalingPolicyScaleInControl
Configuration that allows for slower scale in so that even if Autoscaler
recommends an abrupt scale in of a MIG, it will be throttled as specified by
the parameters below.
Corresponds to the JSON property scaleInControl
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# File 'lib/google/apis/compute_v1/classes.rb', line 2160 def scale_in_control @scale_in_control end |
#scaling_schedules ⇒ Hash<String,Google::Apis::ComputeV1::AutoscalingPolicyScalingSchedule>
Scaling schedules defined for an autoscaler. Multiple schedules can be set on
an autoscaler, and they can overlap. During overlapping periods the greatest
min_required_replicas of all scaling schedules is applied. Up to 128 scaling
schedules are allowed.
Corresponds to the JSON property scalingSchedules
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# File 'lib/google/apis/compute_v1/classes.rb', line 2168 def scaling_schedules @scaling_schedules end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/compute_v1/classes.rb', line 2175 def update!(**args) @cool_down_period_sec = args[:cool_down_period_sec] if args.key?(:cool_down_period_sec) @cpu_utilization = args[:cpu_utilization] if args.key?(:cpu_utilization) @custom_metric_utilizations = args[:custom_metric_utilizations] if args.key?(:custom_metric_utilizations) @load_balancing_utilization = args[:load_balancing_utilization] if args.key?(:load_balancing_utilization) @max_num_replicas = args[:max_num_replicas] if args.key?(:max_num_replicas) @min_num_replicas = args[:min_num_replicas] if args.key?(:min_num_replicas) @mode = args[:mode] if args.key?(:mode) @scale_in_control = args[:scale_in_control] if args.key?(:scale_in_control) @scaling_schedules = args[:scaling_schedules] if args.key?(:scaling_schedules) end |