Struct aws_sdk_autoscaling::client::fluent_builders::GetPredictiveScalingForecast

pub struct GetPredictiveScalingForecast { /* private fields */ }

Fluent builder constructing a request to GetPredictiveScalingForecast.

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.

Implementations

impl GetPredictiveScalingForecast

pub async fn customize(
    self
) -> Result<CustomizableOperation<GetPredictiveScalingForecast, AwsResponseRetryClassifier>, SdkError<GetPredictiveScalingForecastError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<GetPredictiveScalingForecastOutput, SdkError<GetPredictiveScalingForecastError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn auto_scaling_group_name(self, input: impl Into<String>) -> Self

The name of the Auto Scaling group.

pub fn set_auto_scaling_group_name(self, input: Option<String>) -> Self

The name of the Auto Scaling group.

pub fn policy_name(self, input: impl Into<String>) -> Self

The name of the policy.

pub fn set_policy_name(self, input: Option<String>) -> Self

The name of the policy.

pub fn start_time(self, input: DateTime) -> Self

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.

pub fn set_start_time(self, input: Option<DateTime>) -> Self

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.

pub fn end_time(self, input: DateTime) -> Self

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.

pub fn set_end_time(self, input: Option<DateTime>) -> Self

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.

Trait Implementations

impl Clone for GetPredictiveScalingForecast

fn clone(&self) -> GetPredictiveScalingForecast

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GetPredictiveScalingForecast

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.