Class: Google::Apis::ComputeAlpha::AutoscalingPolicy

Inherits:
Object
  • Object
show all
Includes:
Google::Apis::Core::Hashable, Google::Apis::Core::JsonObjectSupport
Defined in:
lib/google/apis/compute_alpha/classes.rb,
lib/google/apis/compute_alpha/representations.rb,
lib/google/apis/compute_alpha/representations.rb

Overview

Cloud Autoscaler policy.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ AutoscalingPolicy

Returns a new instance of AutoscalingPolicy.



2707
2708
2709
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2707

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#cool_down_period_sec ⇒ Fixnum

The number of seconds that your application takes to initialize on a VM instance. This is referred to as the initialization period. Specifying an accurate initialization period improves autoscaler decisions. For example, when scaling out, the autoscaler ignores data from VMs that are still initializing because those VMs might not yet represent normal usage of your application. The default initialization period is 60 seconds. Initialization periods might vary because of numerous factors. We recommend that you test how long your application takes to initialize. To do this, create a VM and time your application's startup process. Corresponds to the JSON property coolDownPeriodSec

Returns:

  • (Fixnum) 


2645
2646
2647
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2645

def cool_down_period_sec
  @cool_down_period_sec
end

#cpu_utilization ⇒ Google::Apis::ComputeAlpha::AutoscalingPolicyCpuUtilization

CPU utilization policy. Corresponds to the JSON property cpuUtilization

Returns:



2650
2651
2652
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2650

def cpu_utilization
  @cpu_utilization
end

#custom_metric_utilizations ⇒ Array<Google::Apis::ComputeAlpha::AutoscalingPolicyCustomMetricUtilization>

Configuration parameters of autoscaling based on a custom metric. Corresponds to the JSON property customMetricUtilizations

Returns:



2655
2656
2657
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2655

def custom_metric_utilizations
  @custom_metric_utilizations
end

#load_balancing_utilization ⇒ Google::Apis::ComputeAlpha::AutoscalingPolicyLoadBalancingUtilization

Configuration parameters of autoscaling based on load balancing. Corresponds to the JSON property loadBalancingUtilization

Returns:



2660
2661
2662
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2660

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

Returns:

  • (Fixnum) 


2667
2668
2669
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2667

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

Returns:

  • (Fixnum) 


2674
2675
2676
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2674

def min_num_replicas
  @min_num_replicas
end

#mode ⇒ String

Defines the operating mode for this policy. The following modes are available:

  • OFF: Disables the autoscaler but maintains its configuration. - ONLY_SCALE_OUT: Restricts the autoscaler to add VM instances only. - ON: Enables all autoscaler activities according to its policy. For more information, see "Turning off or restricting an autoscaler" Corresponds to the JSON property mode

Returns:

  • (String) 


2683
2684
2685
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2683

def mode
  @mode
end

#scale_down_control ⇒ Google::Apis::ComputeAlpha::AutoscalingPolicyScaleDownControl

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 scaleDownControl

Returns:



2690
2691
2692
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2690

def scale_down_control
  @scale_down_control
end

#scale_in_control ⇒ Google::Apis::ComputeAlpha::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

Returns:



2697
2698
2699
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2697

def scale_in_control
  @scale_in_control
end

#scaling_schedules ⇒ Hash<String,Google::Apis::ComputeAlpha::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

Returns:



2705
2706
2707
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2705

def scaling_schedules
  @scaling_schedules
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2712
2713
2714
2715
2716
2717
2718
2719
2720
2721
2722
2723
 
# File 'lib/google/apis/compute_alpha/classes.rb', line 2712

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_down_control = args[:scale_down_control] if args.key?(:scale_down_control)
  @scale_in_control = args[:scale_in_control] if args.key?(:scale_in_control)
  @scaling_schedules = args[:scaling_schedules] if args.key?(:scaling_schedules)
end