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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::get_container_service_metric_data::_get_container_service_metric_data_input::GetContainerServiceMetricDataInputBuilder;
pub use crate::operation::get_container_service_metric_data::_get_container_service_metric_data_output::GetContainerServiceMetricDataOutputBuilder;
impl crate::operation::get_container_service_metric_data::builders::GetContainerServiceMetricDataInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.get_container_service_metric_data();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `GetContainerServiceMetricData`.
///
/// <p>Returns the data points of a specific metric of your Amazon Lightsail container service.</p>
/// <p>Metrics report the utilization of your resources. Monitor and collect metric data regularly to maintain the reliability, availability, and performance of your resources.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct GetContainerServiceMetricDataFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::get_container_service_metric_data::builders::GetContainerServiceMetricDataInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataOutput,
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataError,
> for GetContainerServiceMetricDataFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataOutput,
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl GetContainerServiceMetricDataFluentBuilder {
/// Creates a new `GetContainerServiceMetricDataFluentBuilder`.
pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
Self {
handle,
inner: ::std::default::Default::default(),
config_override: ::std::option::Option::None,
}
}
/// Access the GetContainerServiceMetricData as a reference.
pub fn as_input(&self) -> &crate::operation::get_container_service_metric_data::builders::GetContainerServiceMetricDataInputBuilder {
&self.inner
}
/// 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](aws_smithy_types::retry::RetryConfig), which can be
/// set when configuring the client.
pub async fn send(
self,
) -> ::std::result::Result<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let input = self
.inner
.build()
.map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
let runtime_plugins = crate::operation::get_container_service_metric_data::GetContainerServiceMetricData::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::get_container_service_metric_data::GetContainerServiceMetricData::orchestrate(&runtime_plugins, input).await
}
/// Consumes this builder, creating a customizable operation that can be modified before being sent.
pub fn customize(
self,
) -> crate::client::customize::CustomizableOperation<
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataOutput,
crate::operation::get_container_service_metric_data::GetContainerServiceMetricDataError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
self.set_config_override(::std::option::Option::Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>The name of the container service for which to get metric data.</p>
pub fn service_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.service_name(input.into());
self
}
/// <p>The name of the container service for which to get metric data.</p>
pub fn set_service_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_service_name(input);
self
}
/// <p>The name of the container service for which to get metric data.</p>
pub fn get_service_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_service_name()
}
/// <p>The metric for which you want to return information.</p>
/// <p>Valid container service metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.</p>
/// <ul>
/// <li>
/// <p><code>CPUUtilization</code> - 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.</p>
/// <p>Statistics: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p>
/// <p>Unit: The published unit is <code>Percent</code>.</p></li>
/// <li>
/// <p><code>MemoryUtilization</code> - 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.</p>
/// <p>Statistics: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p>
/// <p>Unit: The published unit is <code>Percent</code>.</p></li>
/// </ul>
pub fn metric_name(mut self, input: crate::types::ContainerServiceMetricName) -> Self {
self.inner = self.inner.metric_name(input);
self
}
/// <p>The metric for which you want to return information.</p>
/// <p>Valid container service metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.</p>
/// <ul>
/// <li>
/// <p><code>CPUUtilization</code> - 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.</p>
/// <p>Statistics: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p>
/// <p>Unit: The published unit is <code>Percent</code>.</p></li>
/// <li>
/// <p><code>MemoryUtilization</code> - 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.</p>
/// <p>Statistics: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p>
/// <p>Unit: The published unit is <code>Percent</code>.</p></li>
/// </ul>
pub fn set_metric_name(mut self, input: ::std::option::Option<crate::types::ContainerServiceMetricName>) -> Self {
self.inner = self.inner.set_metric_name(input);
self
}
/// <p>The metric for which you want to return information.</p>
/// <p>Valid container service metric names are listed below, along with the most useful statistics to include in your request, and the published unit value.</p>
/// <ul>
/// <li>
/// <p><code>CPUUtilization</code> - 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.</p>
/// <p>Statistics: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p>
/// <p>Unit: The published unit is <code>Percent</code>.</p></li>
/// <li>
/// <p><code>MemoryUtilization</code> - 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.</p>
/// <p>Statistics: The most useful statistics are <code>Maximum</code> and <code>Average</code>.</p>
/// <p>Unit: The published unit is <code>Percent</code>.</p></li>
/// </ul>
pub fn get_metric_name(&self) -> &::std::option::Option<crate::types::ContainerServiceMetricName> {
self.inner.get_metric_name()
}
/// <p>The start time of the time period.</p>
pub fn start_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
self.inner = self.inner.start_time(input);
self
}
/// <p>The start time of the time period.</p>
pub fn set_start_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
self.inner = self.inner.set_start_time(input);
self
}
/// <p>The start time of the time period.</p>
pub fn get_start_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
self.inner.get_start_time()
}
/// <p>The end time of the time period.</p>
pub fn end_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
self.inner = self.inner.end_time(input);
self
}
/// <p>The end time of the time period.</p>
pub fn set_end_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
self.inner = self.inner.set_end_time(input);
self
}
/// <p>The end time of the time period.</p>
pub fn get_end_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
self.inner.get_end_time()
}
/// <p>The granularity, in seconds, of the returned data points.</p>
/// <p>All container service metric data is available in 5-minute (300 seconds) granularity.</p>
pub fn period(mut self, input: i32) -> Self {
self.inner = self.inner.period(input);
self
}
/// <p>The granularity, in seconds, of the returned data points.</p>
/// <p>All container service metric data is available in 5-minute (300 seconds) granularity.</p>
pub fn set_period(mut self, input: ::std::option::Option<i32>) -> Self {
self.inner = self.inner.set_period(input);
self
}
/// <p>The granularity, in seconds, of the returned data points.</p>
/// <p>All container service metric data is available in 5-minute (300 seconds) granularity.</p>
pub fn get_period(&self) -> &::std::option::Option<i32> {
self.inner.get_period()
}
///
/// Appends an item to `statistics`.
///
/// To override the contents of this collection use [`set_statistics`](Self::set_statistics).
///
/// <p>The statistic for the metric.</p>
/// <p>The following statistics are available:</p>
/// <ul>
/// <li>
/// <p><code>Minimum</code> - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.</p></li>
/// <li>
/// <p><code>Maximum</code> - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.</p></li>
/// <li>
/// <p><code>Sum</code> - All values submitted for the matching metric added together. You can use this statistic to determine the total volume of a metric.</p></li>
/// <li>
/// <p><code>Average</code> - The value of <code>Sum</code> / <code>SampleCount</code> during the specified period. By comparing this statistic with the <code>Minimum</code> and <code>Maximum</code> values, you can determine the full scope of a metric and how close the average use is to the <code>Minimum</code> and <code>Maximum</code> values. This comparison helps you to know when to increase or decrease your resources.</p></li>
/// <li>
/// <p><code>SampleCount</code> - The count, or number, of data points used for the statistical calculation.</p></li>
/// </ul>
pub fn statistics(mut self, input: crate::types::MetricStatistic) -> Self {
self.inner = self.inner.statistics(input);
self
}
/// <p>The statistic for the metric.</p>
/// <p>The following statistics are available:</p>
/// <ul>
/// <li>
/// <p><code>Minimum</code> - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.</p></li>
/// <li>
/// <p><code>Maximum</code> - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.</p></li>
/// <li>
/// <p><code>Sum</code> - All values submitted for the matching metric added together. You can use this statistic to determine the total volume of a metric.</p></li>
/// <li>
/// <p><code>Average</code> - The value of <code>Sum</code> / <code>SampleCount</code> during the specified period. By comparing this statistic with the <code>Minimum</code> and <code>Maximum</code> values, you can determine the full scope of a metric and how close the average use is to the <code>Minimum</code> and <code>Maximum</code> values. This comparison helps you to know when to increase or decrease your resources.</p></li>
/// <li>
/// <p><code>SampleCount</code> - The count, or number, of data points used for the statistical calculation.</p></li>
/// </ul>
pub fn set_statistics(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::MetricStatistic>>) -> Self {
self.inner = self.inner.set_statistics(input);
self
}
/// <p>The statistic for the metric.</p>
/// <p>The following statistics are available:</p>
/// <ul>
/// <li>
/// <p><code>Minimum</code> - The lowest value observed during the specified period. Use this value to determine low volumes of activity for your application.</p></li>
/// <li>
/// <p><code>Maximum</code> - The highest value observed during the specified period. Use this value to determine high volumes of activity for your application.</p></li>
/// <li>
/// <p><code>Sum</code> - All values submitted for the matching metric added together. You can use this statistic to determine the total volume of a metric.</p></li>
/// <li>
/// <p><code>Average</code> - The value of <code>Sum</code> / <code>SampleCount</code> during the specified period. By comparing this statistic with the <code>Minimum</code> and <code>Maximum</code> values, you can determine the full scope of a metric and how close the average use is to the <code>Minimum</code> and <code>Maximum</code> values. This comparison helps you to know when to increase or decrease your resources.</p></li>
/// <li>
/// <p><code>SampleCount</code> - The count, or number, of data points used for the statistical calculation.</p></li>
/// </ul>
pub fn get_statistics(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::MetricStatistic>> {
self.inner.get_statistics()
}
}