Struct rusoto_autoscaling::ScalingPolicy [−][src]
pub struct ScalingPolicy { pub adjustment_type: Option<String>, pub alarms: Option<Vec<Alarm>>, pub auto_scaling_group_name: Option<String>, pub cooldown: Option<i64>, pub estimated_instance_warmup: Option<i64>, pub metric_aggregation_type: Option<String>, pub min_adjustment_magnitude: Option<i64>, pub min_adjustment_step: Option<i64>, pub policy_arn: Option<String>, pub policy_name: Option<String>, pub policy_type: Option<String>, pub scaling_adjustment: Option<i64>, pub step_adjustments: Option<Vec<StepAdjustment>>, pub target_tracking_configuration: Option<TargetTrackingConfiguration>, }
Describes a scaling policy.
Fields
adjustment_type: Option<String>
The adjustment type, which specifies how ScalingAdjustment
is interpreted. Valid values are ChangeInCapacity
, ExactCapacity
, and PercentChangeInCapacity
.
alarms: Option<Vec<Alarm>>
The CloudWatch alarms related to the policy.
auto_scaling_group_name: Option<String>
The name of the Auto Scaling group.
cooldown: Option<i64>
The amount of time, in seconds, after a scaling activity completes before any further dynamic scaling activities can start.
estimated_instance_warmup: Option<i64>
The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics.
metric_aggregation_type: Option<String>
The aggregation type for the CloudWatch metrics. Valid values are Minimum
, Maximum
, and Average
.
min_adjustment_magnitude: Option<i64>
The minimum number of instances to scale. If the value of AdjustmentType
is PercentChangeInCapacity
, the scaling policy changes the DesiredCapacity
of the Auto Scaling group by at least this many instances. Otherwise, the error is ValidationError
.
min_adjustment_step: Option<i64>
Available for backward compatibility. Use MinAdjustmentMagnitude
instead.
policy_arn: Option<String>
The Amazon Resource Name (ARN) of the policy.
policy_name: Option<String>
The name of the scaling policy.
policy_type: Option<String>
The policy type. Valid values are SimpleScaling
and StepScaling
.
scaling_adjustment: Option<i64>
The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity.
step_adjustments: Option<Vec<StepAdjustment>>
A set of adjustments that enable you to scale based on the size of the alarm breach.
target_tracking_configuration: Option<TargetTrackingConfiguration>
A target tracking policy.
Trait Implementations
impl Default for ScalingPolicy
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impl Default for ScalingPolicy
fn default() -> ScalingPolicy
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fn default() -> ScalingPolicy
Returns the "default value" for a type. Read more
impl Debug for ScalingPolicy
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impl Debug for ScalingPolicy
fn fmt(&self, f: &mut Formatter) -> Result
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fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl Clone for ScalingPolicy
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impl Clone for ScalingPolicy
fn clone(&self) -> ScalingPolicy
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fn clone(&self) -> ScalingPolicy
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
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fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
impl PartialEq for ScalingPolicy
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impl PartialEq for ScalingPolicy
fn eq(&self, other: &ScalingPolicy) -> bool
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fn eq(&self, other: &ScalingPolicy) -> bool
This method tests for self
and other
values to be equal, and is used by ==
. Read more
fn ne(&self, other: &ScalingPolicy) -> bool
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fn ne(&self, other: &ScalingPolicy) -> bool
This method tests for !=
.
Auto Trait Implementations
impl Send for ScalingPolicy
impl Send for ScalingPolicy
impl Sync for ScalingPolicy
impl Sync for ScalingPolicy