Class AutoscalingPolicy (0.4.2)

Version 0.4.2

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AutoscalingPolicy(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Cloud Autoscaler policy. .. attribute:: cool_down_period_sec

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.

:type: int

Attributes

Name	Description
cpu_utilization	google.cloud.compute_v1.types.AutoscalingPolicyCpuUtilization Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
custom_metric_utilizations	Sequence[google.cloud.compute_v1.types.AutoscalingPolicyCustomMetricUtilization] Configuration parameters of autoscaling based on a custom metric.
load_balancing_utilization	google.cloud.compute_v1.types.AutoscalingPolicyLoadBalancingUtilization Configuration parameters of autoscaling based on load balancer.
max_num_replicas	int 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.
min_num_replicas	int 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.
mode	google.cloud.compute_v1.types.AutoscalingPolicy.Mode Defines operating mode for this policy.
scaling_schedules	Sequence[google.cloud.compute_v1.types.AutoscalingPolicy.ScalingSchedulesEntry] 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.

Classes

Mode

Mode(value)

Defines operating mode for this policy.

ScalingSchedulesEntry

ScalingSchedulesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters

Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.