Struct aws_sdk_lightsail::input::GetContainerServiceMetricDataInput

#[non_exhaustive]
pub struct GetContainerServiceMetricDataInput {
    pub service_name: Option<String>,
    pub metric_name: Option<ContainerServiceMetricName>,
    pub start_time: Option<DateTime>,
    pub end_time: Option<DateTime>,
    pub period: i32,
    pub statistics: Option<Vec<MetricStatistic>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

service_name: Option<String>

The name of the container service for which to get metric data.

metric_name: Option<ContainerServiceMetricName>

The metric for which you want to return information.

Valid container service metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.

• CPUUtilization - The average percentage of compute units that are currently in use across all nodes of the container service. This metric identifies the processing power required to run containers on each node of the container service.

  Statistics: The most useful statistics are Maximum and Average.

  Unit: The published unit is Percent.

• MemoryUtilization - The average percentage of available memory that is currently in use across all nodes of the container service. This metric identifies the memory required to run containers on each node of the container service.

  Statistics: The most useful statistics are Maximum and Average.

  Unit: The published unit is Percent.

start_time: Option<DateTime>

The start time of the time period.

end_time: Option<DateTime>

The end time of the time period.

period: i32

The granularity, in seconds, of the returned data points.

All container service metric data is available in 5-minute (300 seconds) granularity.

statistics: Option<Vec<MetricStatistic>>

The statistic for the metric.

The following statistics are available:

• Minimum - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.

• Maximum - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.

• Sum - All values submitted for the matching metric added together. You can use this statistic to determine the total volume of a metric.

• Average - The value of Sum / SampleCount during the specified period. By comparing this statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your resources.

• SampleCount - The count, or number, of data points used for the statistical calculation.

Implementations

impl GetContainerServiceMetricDataInput

pub async fn make_operation(
    &self,
    _config: &Config
) -> Result<Operation<GetContainerServiceMetricData, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<GetContainerServiceMetricData>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture GetContainerServiceMetricDataInput

impl GetContainerServiceMetricDataInput

pub fn service_name(&self) -> Option<&str>

The name of the container service for which to get metric data.

pub fn metric_name(&self) -> Option<&ContainerServiceMetricName>

The metric for which you want to return information.

Valid container service metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.

• CPUUtilization - The average percentage of compute units that are currently in use across all nodes of the container service. This metric identifies the processing power required to run containers on each node of the container service.

  Statistics: The most useful statistics are Maximum and Average.

  Unit: The published unit is Percent.

• MemoryUtilization - The average percentage of available memory that is currently in use across all nodes of the container service. This metric identifies the memory required to run containers on each node of the container service.

  Statistics: The most useful statistics are Maximum and Average.

  Unit: The published unit is Percent.

pub fn start_time(&self) -> Option<&DateTime>

The start time of the time period.

pub fn end_time(&self) -> Option<&DateTime>

The end time of the time period.

pub fn period(&self) -> i32

The granularity, in seconds, of the returned data points.

All container service metric data is available in 5-minute (300 seconds) granularity.

pub fn statistics(&self) -> Option<&[MetricStatistic]>

The statistic for the metric.

The following statistics are available:

• Minimum - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.

• Maximum - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.

• Sum - All values submitted for the matching metric added together. You can use this statistic to determine the total volume of a metric.

• Average - The value of Sum / SampleCount during the specified period. By comparing this statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your resources.

• SampleCount - The count, or number, of data points used for the statistical calculation.

Trait Implementations

impl Clone for GetContainerServiceMetricDataInput

fn clone(&self) -> GetContainerServiceMetricDataInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetContainerServiceMetricDataInput

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

Formats the value using the given formatter.

impl PartialEq<GetContainerServiceMetricDataInput> for GetContainerServiceMetricDataInput

fn eq(&self, other: &GetContainerServiceMetricDataInput) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &GetContainerServiceMetricDataInput) -> bool

This method tests for !=.

impl StructuralPartialEq for GetContainerServiceMetricDataInput