AWS SDK for C++
1.9.123
AWS SDK for C++

#include <PredictiveScalingConfiguration.h>
Represents a predictive scaling policy configuration to use with Amazon EC2 Auto Scaling.
Definition at line 35 of file PredictiveScalingConfiguration.h.
Aws::AutoScaling::Model::PredictiveScalingConfiguration::PredictiveScalingConfiguration  (  ) 
Aws::AutoScaling::Model::PredictiveScalingConfiguration::PredictiveScalingConfiguration  (  const Aws::Utils::Xml::XmlNode &  xmlNode  ) 

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 107 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 116 of file PredictiveScalingConfiguration.h.

inline 
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity
if not specified.
The following are possible values:
HonorMaxCapacity
 Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
IncreaseMaxCapacity
 Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer
.
Definition at line 221 of file PredictiveScalingConfiguration.h.

inline 
The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.
If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
Required if the MaxCapacityBreachBehavior
property is set to IncreaseMaxCapacity
, and cannot be used otherwise.
Definition at line 305 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 53 of file PredictiveScalingConfiguration.h.

inline 
The predictive scaling mode. Defaults to ForecastOnly
if not specified.
Definition at line 123 of file PredictiveScalingConfiguration.h.

inline 
The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to prelaunch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.
The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.
Definition at line 167 of file PredictiveScalingConfiguration.h.

inline 
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity
if not specified.
The following are possible values:
HonorMaxCapacity
 Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
IncreaseMaxCapacity
 Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer
.
Definition at line 235 of file PredictiveScalingConfiguration.h.

inline 
The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.
If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
Required if the MaxCapacityBreachBehavior
property is set to IncreaseMaxCapacity
, and cannot be used otherwise.
Definition at line 318 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 62 of file PredictiveScalingConfiguration.h.

inline 
The predictive scaling mode. Defaults to ForecastOnly
if not specified.
Definition at line 129 of file PredictiveScalingConfiguration.h.
PredictiveScalingConfiguration& Aws::AutoScaling::Model::PredictiveScalingConfiguration::operator=  (  const Aws::Utils::Xml::XmlNode &  xmlNode  ) 
void Aws::AutoScaling::Model::PredictiveScalingConfiguration::OutputToStream  (  Aws::OStream &  oStream, 
const char *  location  
)  const 
void Aws::AutoScaling::Model::PredictiveScalingConfiguration::OutputToStream  (  Aws::OStream &  ostream, 
const char *  location,  
unsigned  index,  
const char *  locationValue  
)  const 

inline 
The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to prelaunch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.
The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.
Definition at line 180 of file PredictiveScalingConfiguration.h.

inline 
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity
if not specified.
The following are possible values:
HonorMaxCapacity
 Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
IncreaseMaxCapacity
 Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer
.
Definition at line 249 of file PredictiveScalingConfiguration.h.

inline 
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity
if not specified.
The following are possible values:
HonorMaxCapacity
 Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
IncreaseMaxCapacity
 Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer
.
Definition at line 263 of file PredictiveScalingConfiguration.h.

inline 
The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.
If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
Required if the MaxCapacityBreachBehavior
property is set to IncreaseMaxCapacity
, and cannot be used otherwise.
Definition at line 331 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 80 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 71 of file PredictiveScalingConfiguration.h.

inline 
The predictive scaling mode. Defaults to ForecastOnly
if not specified.
Definition at line 135 of file PredictiveScalingConfiguration.h.

inline 
The predictive scaling mode. Defaults to ForecastOnly
if not specified.
Definition at line 141 of file PredictiveScalingConfiguration.h.

inline 
The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to prelaunch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.
The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.
Definition at line 193 of file PredictiveScalingConfiguration.h.

inline 
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity
if not specified.
The following are possible values:
HonorMaxCapacity
 Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
IncreaseMaxCapacity
 Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer
.
Definition at line 277 of file PredictiveScalingConfiguration.h.

inline 
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity
if not specified.
The following are possible values:
HonorMaxCapacity
 Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
IncreaseMaxCapacity
 Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer
.
Definition at line 291 of file PredictiveScalingConfiguration.h.

inline 
The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.
If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
Required if the MaxCapacityBreachBehavior
property is set to IncreaseMaxCapacity
, and cannot be used otherwise.
Definition at line 344 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 98 of file PredictiveScalingConfiguration.h.

inline 
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
Definition at line 89 of file PredictiveScalingConfiguration.h.

inline 
The predictive scaling mode. Defaults to ForecastOnly
if not specified.
Definition at line 147 of file PredictiveScalingConfiguration.h.

inline 
The predictive scaling mode. Defaults to ForecastOnly
if not specified.
Definition at line 153 of file PredictiveScalingConfiguration.h.

inline 
The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to prelaunch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.
The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.
Definition at line 206 of file PredictiveScalingConfiguration.h.