predictive_scaling_forecasts

Creates, updates, deletes, gets or lists a predictive_scaling_forecasts resource.

Overview

Name	predictive_scaling_forecasts
Type	Resource
Id	aws.autoscaling.predictive_scaling_forecasts

Fields

The following fields are returned by SELECT queries:

get_predictive_scaling_forecast

Name	Datatype	Description
capacity_forecast	string	The capacity forecast.
load_forecast	string	The load forecast.
update_time	string	The time the forecast was made.

Methods

The following methods are available for this resource:

Name	Accessible by	Required Params	Optional Params	Description
get_predictive_scaling_forecast	select	AutoScalingGroupName, PolicyName, StartTime, EndTime, region		Retrieves the forecast data for a predictive scaling policy. Load forecasts are predictions of the hourly load values using historical load data from CloudWatch and an analysis of historical trends. Capacity forecasts are represented as predicted values for the minimum capacity that is needed on an hourly basis, based on the hourly load forecast. A minimum of 24 hours of data is required to create the initial forecasts. However, having a full 14 days of historical data results in more accurate forecasts. For more information, see Predictive scaling for Amazon EC2 Auto Scaling in the Amazon EC2 Auto Scaling User Guide.

Parameters

Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.

Name	Datatype	Description
AutoScalingGroupName	string	The name of the Auto Scaling group.
EndTime	string (date-time)	The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days. Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.
PolicyName	string	The name of the policy.
StartTime	string (date-time)	The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.
region	string	AWS region (default: us-east-1)

SELECT examples

get_predictive_scaling_forecast

Retrieves the forecast data for a predictive scaling policy. Load forecasts are predictions of the hourly load values using historical load data from CloudWatch and an analysis of historical trends. Capacity forecasts are represented as predicted values for the minimum capacity that is needed on an hourly basis, based on the hourly load forecast. A minimum of 24 hours of data is required to create the initial forecasts. However, having a full 14 days of historical data results in more accurate forecasts. For more information, see Predictive scaling for Amazon EC2 Auto Scaling in the Amazon EC2 Auto Scaling User Guide.

SELECT
capacity_forecast,
load_forecast,
update_time
FROM aws.autoscaling.predictive_scaling_forecasts
WHERE AutoScalingGroupName = '{{ AutoScalingGroupName }}' -- required
AND PolicyName = '{{ PolicyName }}' -- required
AND StartTime = '{{ StartTime }}' -- required
AND EndTime = '{{ EndTime }}' -- required
AND region = '{{ region }}' -- required
;