Class: Google::Cloud::Compute::V1::AutoscalingPolicyCpuUtilization

Inherits:

Object

Object
Google::Cloud::Compute::V1::AutoscalingPolicyCpuUtilization

show all

Extended by:: Protobuf::MessageExts::ClassMethods

Includes:: Protobuf::MessageExts

Defined in:: proto_docs/google/cloud/compute/v1/compute.rb

Overview

CPU utilization policy.

Defined Under Namespace

Modules: PredictiveMethod

Instance Attribute Summary collapse

#predictive_method ⇒ ::String
Indicates whether predictive autoscaling based on CPU metric is enabled.
#utilization_target ⇒ ::Float
The target CPU utilization that the autoscaler maintains.

Instance Attribute Details

#predictive_method ⇒ `::String`

Returns 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. Check the PredictiveMethod enum for the list of possible values.

Returns:

(::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. Check the PredictiveMethod enum for the list of possible values.

# File 'proto_docs/google/cloud/compute/v1/compute.rb', line 9275

class AutoscalingPolicyCpuUtilization
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # 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.
  module PredictiveMethod
    # A value indicating that the enum field is not set.
    UNDEFINED_PREDICTIVE_METHOD = 0

    # No predictive method is used. The autoscaler scales the group to meet
    # current demand based on real-time metrics
    NONE = 2_402_104

    # Predictive autoscaling improves availability by monitoring daily and
    # weekly load patterns and scaling out ahead of anticipated demand.
    OPTIMIZE_AVAILABILITY = 11_629_437
  end
end

#utilization_target ⇒ `::Float`

Returns The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is0.6.

If the CPU level is below the target utilization, the autoscaler scales in 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 out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.