Doc AWS SDK ExamplesWord リポジトリには、さらに多くの GitHub の例があります。 AWS SDK
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SDK for Rust を使用した Auto Scaling の例
次のコード例は、Auto Scaling で AWS SDK for Rust を使用してアクションを実行し、一般的なシナリオを実装する方法を示しています。
「基本」は、重要なオペレーションをサービス内で実行する方法を示すコード例です。
アクションはより大きなプログラムからのコードの抜粋であり、コンテキスト内で実行する必要があります。アクションは個々のサービス機能を呼び出す方法を示していますが、コンテキスト内のアクションは、関連するシナリオで確認できます。
各例には、完全なソースコードへのリンクが含まれています。ここでは、コンテキストでコードを設定および実行する方法の手順を確認できます。
開始方法
次のコード例は、Auto Scaling の使用を開始する方法を示しています。
- Rust のSDK
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注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 async fn list_groups(client: &Client) -> Result<(), Error> { let resp = client.describe_auto_scaling_groups().send().await?; println!("Groups:"); let groups = resp.auto_scaling_groups(); for group in groups { println!( "Name: {}", group.auto_scaling_group_name().unwrap_or("Unknown") ); println!( "Arn: {}", group.auto_scaling_group_arn().unwrap_or("unknown"), ); println!("Zones: {:?}", group.availability_zones(),); println!(); } println!("Found {} group(s)", groups.len()); Ok(()) }
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API の詳細については、DescribeAutoScalingGroups
AWS SDK for Rust API リファレンス」を参照してください。
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基本
次のコードサンプルは、以下の操作方法を示しています。
起動テンプレートとアベイラビリティーゾーンを使用して Amazon EC2 Auto Scaling グループを作成し、インスタンスの実行に関する情報を取得します。
Amazon CloudWatch メトリクスコレクションを有効にします。
グループの希望するキャパシティを更新し、インスタンスが起動するのを待ちます。
グループ内の最も古いインスタンスを削除します。
ユーザーのリクエストやキャパシティの変更に応じて発生するスケーリングアクティビティを一覧表示します。
CloudWatch メトリクスの統計を取得し、リソースをクリーンアップします。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 [package] name = "autoscaling-code-examples" version = "0.1.0" authors = ["Doug Schwartz <dougsch@amazon.com>", "David Souther <dpsouth@amazon.com>"] edition = "2021" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] aws-config = { version = "1.0.1", features = ["behavior-version-latest"] } aws-sdk-autoscaling = { version = "1.3.0" } aws-sdk-ec2 = { version = "1.3.0" } aws-types = { version = "1.0.1" } tokio = { version = "1.20.1", features = ["full"] } clap = { version = "4.4", features = ["derive"] } tracing-subscriber = { version = "0.3.15", features = ["env-filter"] } anyhow = "1.0.75" tracing = "0.1.37" tokio-stream = "0.1.14" use std::{collections::BTreeSet, fmt::Display}; use anyhow::anyhow; use autoscaling_code_examples::scenario::{AutoScalingScenario, ScenarioError}; use tracing::{info, warn}; async fn show_scenario_description(scenario: &AutoScalingScenario, event: &str) { let description = scenario.describe_scenario().await; info!("DescribeAutoScalingInstances: {event}\n{description}"); } #[derive(Default, Debug)] struct Warnings(Vec<String>); impl Warnings { pub fn push(&mut self, warning: &str, error: ScenarioError) { let formatted = format!("{warning}: {error}"); warn!("{formatted}"); self.0.push(formatted); } pub fn is_empty(&self) -> bool { self.0.is_empty() } } impl Display for Warnings { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { writeln!(f, "Warnings:")?; for warning in &self.0 { writeln!(f, "{: >4}- {warning}", "")?; } Ok(()) } } #[tokio::main] async fn main() -> Result<(), anyhow::Error> { tracing_subscriber::fmt::init(); let shared_config = aws_config::from_env().load().await; let mut warnings = Warnings::default(); // 1. Create an EC2 launch template that you'll use to create an auto scaling group. Bonus: use SDK with EC2.CreateLaunchTemplate to create the launch template. // 2. CreateAutoScalingGroup: pass it the launch template you created in step 0. Give it min/max of 1 instance. // 4. EnableMetricsCollection: enable all metrics or a subset. let scenario = match AutoScalingScenario::prepare_scenario(&shared_config).await { Ok(scenario) => scenario, Err(errs) => { let err_str = errs .into_iter() .map(|e| e.to_string()) .collect::<Vec<String>>() .join(", "); return Err(anyhow!("Failed to initialize scenario: {err_str}")); } }; info!("Prepared autoscaling scenario:\n{scenario}"); let stable = scenario.wait_for_stable(1).await; if let Err(err) = stable { warnings.push( "There was a problem while waiting for group to be stable", err, ); } // 3. DescribeAutoScalingInstances: show that one instance has launched. show_scenario_description( &scenario, "show that the group was created and one instance has launched", ) .await; // 5. UpdateAutoScalingGroup: update max size to 3. let scale_max_size = scenario.scale_max_size(3).await; if let Err(err) = scale_max_size { warnings.push("There was a problem scaling max size", err); } // 6. DescribeAutoScalingGroups: the current state of the group show_scenario_description( &scenario, "show the current state of the group after setting max size", ) .await; // 7. SetDesiredCapacity: set desired capacity to 2. let scale_desired_capacity = scenario.scale_desired_capacity(2).await; if let Err(err) = scale_desired_capacity { warnings.push("There was a problem setting desired capacity", err); } // Wait for a second instance to launch. let stable = scenario.wait_for_stable(2).await; if let Err(err) = stable { warnings.push( "There was a problem while waiting for group to be stable", err, ); } // 8. DescribeAutoScalingInstances: show that two instances are launched. show_scenario_description( &scenario, "show that two instances are launched after setting desired capacity", ) .await; let ids_before = scenario .list_instances() .await .map(|v| v.into_iter().collect::<BTreeSet<_>>()) .unwrap_or_default(); // 9. TerminateInstanceInAutoScalingGroup: terminate one of the instances in the group. let terminate_some_instance = scenario.terminate_some_instance().await; if let Err(err) = terminate_some_instance { warnings.push("There was a problem replacing an instance", err); } let wait_after_terminate = scenario.wait_for_stable(1).await; if let Err(err) = wait_after_terminate { warnings.push( "There was a problem waiting after terminating an instance", err, ); } let wait_scale_up_after_terminate = scenario.wait_for_stable(2).await; if let Err(err) = wait_scale_up_after_terminate { warnings.push( "There was a problem waiting for scale up after terminating an instance", err, ); } let ids_after = scenario .list_instances() .await .map(|v| v.into_iter().collect::<BTreeSet<_>>()) .unwrap_or_default(); let difference = ids_after.intersection(&ids_before).count(); if !(difference == 1 && ids_before.len() == 2 && ids_after.len() == 2) { warnings.push( "Before and after set not different", ScenarioError::with(format!("{difference}")), ); } // 10. DescribeScalingActivities: list the scaling activities that have occurred for the group so far. show_scenario_description( &scenario, "list the scaling activities that have occurred for the group so far", ) .await; // 11. DisableMetricsCollection let scale_group = scenario.scale_group_to_zero().await; if let Err(err) = scale_group { warnings.push("There was a problem scaling the group to 0", err); } show_scenario_description(&scenario, "Scenario scaled to 0").await; // 12. DeleteAutoScalingGroup (to delete the group you must stop all instances): // 13. Delete LaunchTemplate. let clean_scenario = scenario.clean_scenario().await; if let Err(errs) = clean_scenario { for err in errs { warnings.push("There was a problem cleaning the scenario", err); } } else { info!("The scenario has been cleaned up!"); } if warnings.is_empty() { Ok(()) } else { Err(anyhow!( "There were warnings during scenario execution:\n{warnings}" )) } } pub mod scenario; use std::{ error::Error, fmt::{Debug, Display}, time::{Duration, SystemTime}, }; use anyhow::anyhow; use aws_config::SdkConfig; use aws_sdk_autoscaling::{ error::{DisplayErrorContext, ProvideErrorMetadata}, types::{Activity, AutoScalingGroup, LaunchTemplateSpecification}, }; use aws_sdk_ec2::types::RequestLaunchTemplateData; use tracing::trace; const LAUNCH_TEMPLATE_NAME: &str = "SDK_Code_Examples_EC2_Autoscaling_template_from_Rust_SDK"; const AUTOSCALING_GROUP_NAME: &str = "SDK_Code_Examples_EC2_Autoscaling_Group_from_Rust_SDK"; const MAX_WAIT: Duration = Duration::from_secs(5 * 60); // Wait at most 25 seconds. const WAIT_TIME: Duration = Duration::from_millis(500); // Wait half a second at a time. struct Waiter { start: SystemTime, max: Duration, } impl Waiter { fn new() -> Self { Waiter { start: SystemTime::now(), max: MAX_WAIT, } } async fn sleep(&self) -> Result<(), ScenarioError> { if SystemTime::now() .duration_since(self.start) .unwrap_or(Duration::MAX) > self.max { Err(ScenarioError::with( "Exceeded maximum wait duration for stable group", )) } else { tokio::time::sleep(WAIT_TIME).await; Ok(()) } } } pub struct AutoScalingScenario { ec2: aws_sdk_ec2::Client, autoscaling: aws_sdk_autoscaling::Client, launch_template_arn: String, auto_scaling_group_name: String, } impl Display for AutoScalingScenario { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { f.write_fmt(format_args!( "\tLaunch Template ID: {}\n", self.launch_template_arn ))?; f.write_fmt(format_args!( "\tScaling Group Name: {}\n", self.auto_scaling_group_name ))?; Ok(()) } } pub struct AutoScalingScenarioDescription { group: Result<Vec<String>, ScenarioError>, instances: Result<Vec<String>, anyhow::Error>, activities: Result<Vec<Activity>, anyhow::Error>, } impl Display for AutoScalingScenarioDescription { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { writeln!(f, "\t Group status:")?; match &self.group { Ok(groups) => { for status in groups { writeln!(f, "\t\t- {status}")?; } } Err(e) => writeln!(f, "\t\t! - {e}")?, } writeln!(f, "\t Instances:")?; match &self.instances { Ok(instances) => { for instance in instances { writeln!(f, "\t\t- {instance}")?; } } Err(e) => writeln!(f, "\t\t! {e}")?, } writeln!(f, "\t Activities:")?; match &self.activities { Ok(activities) => { for activity in activities { writeln!( f, "\t\t- {} Progress: {}% Status: {:?} End: {:?}", activity.cause().unwrap_or("Unknown"), activity.progress.unwrap_or(-1), activity.status_code(), // activity.status_message().unwrap_or_default() activity.end_time(), )?; } } Err(e) => writeln!(f, "\t\t! {e}")?, } Ok(()) } } #[derive(Debug)] struct MetadataError { message: Option<String>, code: Option<String>, } impl MetadataError { fn from(err: &dyn ProvideErrorMetadata) -> Self { MetadataError { message: err.message().map(|s| s.to_string()), code: err.code().map(|s| s.to_string()), } } } impl Display for MetadataError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { let display = match (&self.message, &self.code) { (None, None) => "Unknown".to_string(), (None, Some(code)) => format!("({code})"), (Some(message), None) => message.to_string(), (Some(message), Some(code)) => format!("{message} ({code})"), }; write!(f, "{display}") } } #[derive(Debug)] pub struct ScenarioError { message: String, context: Option<MetadataError>, } impl ScenarioError { pub fn with(message: impl Into<String>) -> Self { ScenarioError { message: message.into(), context: None, } } pub fn new(message: impl Into<String>, err: &dyn ProvideErrorMetadata) -> Self { ScenarioError { message: message.into(), context: Some(MetadataError::from(err)), } } } impl Error for ScenarioError { // While `Error` can capture `source` information about the underlying error, for this example // the ScenarioError captures the underlying information in MetadataError and treats it as a // single Error from this Crate. In other contexts, it may be appropriate to model the error // as including the SdkError as its source. } impl Display for ScenarioError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match &self.context { Some(c) => write!(f, "{}: {}", self.message, c), None => write!(f, "{}", self.message), } } } impl AutoScalingScenario { pub async fn prepare_scenario(sdk_config: &SdkConfig) -> Result<Self, Vec<ScenarioError>> { let ec2 = aws_sdk_ec2::Client::new(sdk_config); let autoscaling = aws_sdk_autoscaling::Client::new(sdk_config); let auto_scaling_group_name = String::from(AUTOSCALING_GROUP_NAME); // Before creating any resources, prepare the list of AZs let availablity_zones = ec2.describe_availability_zones().send().await; if let Err(err) = availablity_zones { return Err(vec![ScenarioError::new("Failed to find AZs", &err)]); } let availability_zones: Vec<String> = availablity_zones .unwrap() .availability_zones .unwrap_or_default() .iter() .take(3) .map(|z| z.zone_name.clone().unwrap()) .collect(); // 1. Create an EC2 launch template that you'll use to create an auto scaling group. Bonus: use SDK with EC2.CreateLaunchTemplate to create the launch template. // * Recommended: InstanceType='t1.micro', ImageId='ami-0ca285d4c2cda3300' let create_launch_template = ec2 .create_launch_template() .launch_template_name(LAUNCH_TEMPLATE_NAME) .launch_template_data( RequestLaunchTemplateData::builder() .instance_type(aws_sdk_ec2::types::InstanceType::T1Micro) .image_id("ami-0ca285d4c2cda3300") .build(), ) .send() .await .map_err(|err| vec![ScenarioError::new("Failed to create launch template", &err)])?; let launch_template_arn = match create_launch_template.launch_template { Some(launch_template) => launch_template.launch_template_id.unwrap_or_default(), None => { // Try to delete the launch template let _ = ec2 .delete_launch_template() .launch_template_name(LAUNCH_TEMPLATE_NAME) .send() .await; return Err(vec![ScenarioError::with("Failed to load launch template")]); } }; // 2. CreateAutoScalingGroup: pass it the launch template you created in step 0. Give it min/max of 1 instance. // You can use EC2.describe_availability_zones() to get a list of AZs (you have to specify an AZ when you create the group). // Wait for instance to launch. Use a waiter if you have one, otherwise DescribeAutoScalingInstances until LifecycleState='InService' if let Err(err) = autoscaling .create_auto_scaling_group() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .launch_template( LaunchTemplateSpecification::builder() .launch_template_id(launch_template_arn.clone()) .version("$Latest") .build(), ) .max_size(1) .min_size(1) .set_availability_zones(Some(availability_zones)) .send() .await { let mut errs = vec![ScenarioError::new( "Failed to create autoscaling group", &err, )]; if let Err(err) = autoscaling .delete_auto_scaling_group() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .send() .await { errs.push(ScenarioError::new( "Failed to clean up autoscaling group", &err, )); } if let Err(err) = ec2 .delete_launch_template() .launch_template_id(launch_template_arn.clone()) .send() .await { errs.push(ScenarioError::new( "Failed to clean up launch template", &err, )); } return Err(errs); } let scenario = AutoScalingScenario { ec2, autoscaling: autoscaling.clone(), // Clients are cheap so cloning here to prevent a move is ok. auto_scaling_group_name: auto_scaling_group_name.clone(), launch_template_arn, }; let enable_metrics_collection = autoscaling .enable_metrics_collection() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .granularity("1Minute") .set_metrics(Some(vec![ String::from("GroupMinSize"), String::from("GroupMaxSize"), String::from("GroupDesiredCapacity"), String::from("GroupInServiceInstances"), String::from("GroupTotalInstances"), ])) .send() .await; match enable_metrics_collection { Ok(_) => Ok(scenario), Err(err) => { scenario.clean_scenario().await?; Err(vec![ScenarioError::new( "Failed to enable metrics collections for group", &err, )]) } } } pub async fn clean_scenario(self) -> Result<(), Vec<ScenarioError>> { let _ = self.wait_for_no_scaling().await; let delete_group = self .autoscaling .delete_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await; // 14. Delete LaunchTemplate. let delete_launch_template = self .ec2 .delete_launch_template() .launch_template_id(self.launch_template_arn.clone()) .send() .await; let early_exit = match (delete_group, delete_launch_template) { (Ok(_), Ok(_)) => Ok(()), (Ok(_), Err(e)) => Err(vec![ScenarioError::new( "There was an error cleaning the launch template", &e, )]), (Err(e), Ok(_)) => Err(vec![ScenarioError::new( "There was an error cleaning the scale group", &e, )]), (Err(e1), Err(e2)) => Err(vec![ ScenarioError::new("Multiple error cleaning the scenario Scale Group", &e1), ScenarioError::new("Multiple error cleaning the scenario Launch Template", &e2), ]), }; if early_exit.is_err() { early_exit } else { // Wait for delete_group to finish let waiter = Waiter::new(); let mut errors = Vec::<ScenarioError>::new(); while errors.len() < 3 { if let Err(e) = waiter.sleep().await { errors.push(e); continue; } let describe_group = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await; match describe_group { Ok(group) => match group.auto_scaling_groups().first() { Some(group) => { if group.status() != Some("Delete in progress") { errors.push(ScenarioError::with(format!( "Group in an unknown state while deleting: {}", group.status().unwrap_or("unknown error") ))); return Err(errors); } } None => return Ok(()), }, Err(err) => { errors.push(ScenarioError::new("Failed to describe autoscaling group during cleanup 3 times, last error", &err)); } } if errors.len() > 3 { return Err(errors); } } Err(vec![ScenarioError::with( "Exited cleanup wait loop without retuning success or failing after three rounds", )]) } } pub async fn describe_scenario(&self) -> AutoScalingScenarioDescription { let group = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await .map(|s| { s.auto_scaling_groups() .iter() .map(|s| { format!( "{}: {}", s.auto_scaling_group_name().unwrap_or("Unknown"), s.status().unwrap_or("Unknown") ) }) .collect::<Vec<String>>() }) .map_err(|e| { ScenarioError::new("Failed to describe auto scaling groups for scenario", &e) }); let instances = self .list_instances() .await .map_err(|e| anyhow!("There was an error listing instances: {e}",)); // 10. DescribeScalingActivities: list the scaling activities that have occurred for the group so far. // Bonus: use CloudWatch API to get and show some metrics collected for the group. // CW.ListMetrics with Namespace='AWS/AutoScaling' and Dimensions=[{'Name': 'AutoScalingGroupName', 'Value': }] // CW.GetMetricStatistics with Statistics='Sum'. Start and End times must be in UTC! let activities = self .autoscaling .describe_scaling_activities() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .into_paginator() .items() .send() .collect::<Result<Vec<_>, _>>() .await .map_err(|e| { anyhow!( "There was an error retrieving scaling activities: {}", DisplayErrorContext(&e) ) }); AutoScalingScenarioDescription { group, instances, activities, } } async fn get_group(&self) -> Result<AutoScalingGroup, ScenarioError> { let describe_auto_scaling_groups = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await; if let Err(err) = describe_auto_scaling_groups { return Err(ScenarioError::new( format!( "Failed to get status of autoscaling group {}", self.auto_scaling_group_name.clone() ) .as_str(), &err, )); } let describe_auto_scaling_groups_output = describe_auto_scaling_groups.unwrap(); let auto_scaling_groups = describe_auto_scaling_groups_output.auto_scaling_groups(); let auto_scaling_group = auto_scaling_groups.first(); if auto_scaling_group.is_none() { return Err(ScenarioError::with(format!( "Could not find autoscaling group {}", self.auto_scaling_group_name.clone() ))); } Ok(auto_scaling_group.unwrap().clone()) } pub async fn wait_for_no_scaling(&self) -> Result<(), ScenarioError> { let waiter = Waiter::new(); let mut scaling = true; while scaling { waiter.sleep().await?; let describe_activities = self .autoscaling .describe_scaling_activities() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await .map_err(|e| { ScenarioError::new("Failed to get autoscaling activities for group", &e) })?; let activities = describe_activities.activities(); trace!( "Waiting for no scaling found {} activities", activities.len() ); scaling = activities.iter().any(|a| a.progress() < Some(100)); } Ok(()) } pub async fn wait_for_stable(&self, size: usize) -> Result<(), ScenarioError> { self.wait_for_no_scaling().await?; let mut group = self.get_group().await?; let mut count = count_group_instances(&group); let waiter = Waiter::new(); while count != size { trace!("Waiting for stable {size} (current: {count})"); waiter.sleep().await?; group = self.get_group().await?; count = count_group_instances(&group); } Ok(()) } pub async fn list_instances(&self) -> Result<Vec<String>, ScenarioError> { // The direct way to list instances is by using DescribeAutoScalingGroup's instances property. However, this returns a Vec<Instance>, as opposed to a Vec<AutoScalingInstanceDetails>. // Ok(self.get_group().await?.instances.unwrap_or_default().map(|i| i.instance_id.clone().unwrap_or_default()).filter(|id| !id.is_empty()).collect()) // Alternatively, and for the sake of example, DescribeAutoScalingInstances returns a list that can be filtered by the client. self.autoscaling .describe_auto_scaling_instances() .into_paginator() .items() .send() .try_collect() .await .map(|items| { items .into_iter() .filter(|i| { i.auto_scaling_group_name.as_deref() == Some(self.auto_scaling_group_name.as_str()) }) .map(|i| i.instance_id.unwrap_or_default()) .filter(|id| !id.is_empty()) .collect::<Vec<String>>() }) .map_err(|err| ScenarioError::new("Failed to get list of auto scaling instances", &err)) } pub async fn scale_min_size(&self, size: i32) -> Result<(), ScenarioError> { let update_group = self .autoscaling .update_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .min_size(size) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failer to update group to min size ({size}))").as_str(), &err, )); } Ok(()) } pub async fn scale_max_size(&self, size: i32) -> Result<(), ScenarioError> { // 5. UpdateAutoScalingGroup: update max size to 3. let update_group = self .autoscaling .update_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .max_size(size) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failed to update group to max size ({size})").as_str(), &err, )); } Ok(()) } pub async fn scale_desired_capacity(&self, capacity: i32) -> Result<(), ScenarioError> { // 7. SetDesiredCapacity: set desired capacity to 2. // Wait for a second instance to launch. let update_group = self .autoscaling .set_desired_capacity() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .desired_capacity(capacity) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failed to update group to desired capacity ({capacity}))").as_str(), &err, )); } Ok(()) } pub async fn scale_group_to_zero(&self) -> Result<(), ScenarioError> { // If this fails it's fine, just means there are extra cloudwatch metrics events for the scale-down. let _ = self .autoscaling .disable_metrics_collection() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await; // 12. DeleteAutoScalingGroup (to delete the group you must stop all instances): // UpdateAutoScalingGroup with MinSize=0 let update_group = self .autoscaling .update_auto_scaling_group() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .min_size(0) .desired_capacity(0) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( "Failed to update group for scaling down&", &err, )); } let stable = self.wait_for_stable(0).await; if let Err(err) = stable { return Err(ScenarioError::with(format!( "Error while waiting for group to be stable on scale down: {err}" ))); } Ok(()) } pub async fn terminate_some_instance(&self) -> Result<(), ScenarioError> { // Retrieve a list of instances in the auto scaling group. let auto_scaling_group = self.get_group().await?; let instances = auto_scaling_group.instances(); // Or use other logic to find an instance to terminate. let instance = instances.first(); if let Some(instance) = instance { let instance_id = if let Some(instance_id) = instance.instance_id() { instance_id } else { return Err(ScenarioError::with("Missing instance id")); }; let termination = self .ec2 .terminate_instances() .instance_ids(instance_id) .send() .await; if let Err(err) = termination { Err(ScenarioError::new( "There was a problem terminating an instance", &err, )) } else { Ok(()) } } else { Err(ScenarioError::with("There was no instance to terminate")) } } } fn count_group_instances(group: &AutoScalingGroup) -> usize { group.instances.as_ref().map(|i| i.len()).unwrap_or(0) }
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API の詳細については、Word AWS for Rust SDK APIリファレンスの以下のトピックを参照してください。
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アクション
次のコード例は、CreateAutoScalingGroup
を使用する方法を示しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 async fn create_group(client: &Client, name: &str, id: &str) -> Result<(), Error> { client .create_auto_scaling_group() .auto_scaling_group_name(name) .instance_id(id) .min_size(1) .max_size(5) .send() .await?; println!("Created AutoScaling group"); Ok(()) }
-
API の詳細については、CreateAutoScalingGroup
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、DeleteAutoScalingGroup
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 async fn delete_group(client: &Client, name: &str, force: bool) -> Result<(), Error> { client .delete_auto_scaling_group() .auto_scaling_group_name(name) .set_force_delete(if force { Some(true) } else { None }) .send() .await?; println!("Deleted Auto Scaling group"); Ok(()) }
-
API の詳細については、DeleteAutoScalingGroup
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、DescribeAutoScalingGroups
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 async fn list_groups(client: &Client) -> Result<(), Error> { let resp = client.describe_auto_scaling_groups().send().await?; println!("Groups:"); let groups = resp.auto_scaling_groups(); for group in groups { println!( "Name: {}", group.auto_scaling_group_name().unwrap_or("Unknown") ); println!( "Arn: {}", group.auto_scaling_group_arn().unwrap_or("unknown"), ); println!("Zones: {:?}", group.availability_zones(),); println!(); } println!("Found {} group(s)", groups.len()); Ok(()) }
-
API の詳細については、DescribeAutoScalingGroups
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、DescribeAutoScalingInstances
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 pub async fn list_instances(&self) -> Result<Vec<String>, ScenarioError> { // The direct way to list instances is by using DescribeAutoScalingGroup's instances property. However, this returns a Vec<Instance>, as opposed to a Vec<AutoScalingInstanceDetails>. // Ok(self.get_group().await?.instances.unwrap_or_default().map(|i| i.instance_id.clone().unwrap_or_default()).filter(|id| !id.is_empty()).collect()) // Alternatively, and for the sake of example, DescribeAutoScalingInstances returns a list that can be filtered by the client. self.autoscaling .describe_auto_scaling_instances() .into_paginator() .items() .send() .try_collect() .await .map(|items| { items .into_iter() .filter(|i| { i.auto_scaling_group_name.as_deref() == Some(self.auto_scaling_group_name.as_str()) }) .map(|i| i.instance_id.unwrap_or_default()) .filter(|id| !id.is_empty()) .collect::<Vec<String>>() }) .map_err(|err| ScenarioError::new("Failed to get list of auto scaling instances", &err)) }
-
API の詳細については、DescribeAutoScalingInstances
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、DescribeScalingActivities
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 pub async fn describe_scenario(&self) -> AutoScalingScenarioDescription { let group = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await .map(|s| { s.auto_scaling_groups() .iter() .map(|s| { format!( "{}: {}", s.auto_scaling_group_name().unwrap_or("Unknown"), s.status().unwrap_or("Unknown") ) }) .collect::<Vec<String>>() }) .map_err(|e| { ScenarioError::new("Failed to describe auto scaling groups for scenario", &e) }); let instances = self .list_instances() .await .map_err(|e| anyhow!("There was an error listing instances: {e}",)); // 10. DescribeScalingActivities: list the scaling activities that have occurred for the group so far. // Bonus: use CloudWatch API to get and show some metrics collected for the group. // CW.ListMetrics with Namespace='AWS/AutoScaling' and Dimensions=[{'Name': 'AutoScalingGroupName', 'Value': }] // CW.GetMetricStatistics with Statistics='Sum'. Start and End times must be in UTC! let activities = self .autoscaling .describe_scaling_activities() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .into_paginator() .items() .send() .collect::<Result<Vec<_>, _>>() .await .map_err(|e| { anyhow!( "There was an error retrieving scaling activities: {}", DisplayErrorContext(&e) ) }); AutoScalingScenarioDescription { group, instances, activities, } }
-
API の詳細については、DescribeScalingActivities
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、DisableMetricsCollection
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 // If this fails it's fine, just means there are extra cloudwatch metrics events for the scale-down. let _ = self .autoscaling .disable_metrics_collection() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .send() .await;
-
API の詳細については、DisableMetricsCollection
AWS SDK for Rust API リファレンス」を参照してください。
-
次のコード例は、EnableMetricsCollection
を使用する方法を示しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 let enable_metrics_collection = autoscaling .enable_metrics_collection() .auto_scaling_group_name(auto_scaling_group_name.as_str()) .granularity("1Minute") .set_metrics(Some(vec![ String::from("GroupMinSize"), String::from("GroupMaxSize"), String::from("GroupDesiredCapacity"), String::from("GroupInServiceInstances"), String::from("GroupTotalInstances"), ])) .send() .await;
-
API の詳細については、EnableMetricsCollection
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、SetDesiredCapacity
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 pub async fn scale_desired_capacity(&self, capacity: i32) -> Result<(), ScenarioError> { // 7. SetDesiredCapacity: set desired capacity to 2. // Wait for a second instance to launch. let update_group = self .autoscaling .set_desired_capacity() .auto_scaling_group_name(self.auto_scaling_group_name.clone()) .desired_capacity(capacity) .send() .await; if let Err(err) = update_group { return Err(ScenarioError::new( format!("Failed to update group to desired capacity ({capacity}))").as_str(), &err, )); } Ok(()) }
-
API の詳細については、SetDesiredCapacity
AWS SDK for Rust API リファレンス」を参照してください。
-
次の例は、TerminateInstanceInAutoScalingGroup
を使用する方法を説明しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 pub async fn terminate_some_instance(&self) -> Result<(), ScenarioError> { // Retrieve a list of instances in the auto scaling group. let auto_scaling_group = self.get_group().await?; let instances = auto_scaling_group.instances(); // Or use other logic to find an instance to terminate. let instance = instances.first(); if let Some(instance) = instance { let instance_id = if let Some(instance_id) = instance.instance_id() { instance_id } else { return Err(ScenarioError::with("Missing instance id")); }; let termination = self .ec2 .terminate_instances() .instance_ids(instance_id) .send() .await; if let Err(err) = termination { Err(ScenarioError::new( "There was a problem terminating an instance", &err, )) } else { Ok(()) } } else { Err(ScenarioError::with("There was no instance to terminate")) } } async fn get_group(&self) -> Result<AutoScalingGroup, ScenarioError> { let describe_auto_scaling_groups = self .autoscaling .describe_auto_scaling_groups() .auto_scaling_group_names(self.auto_scaling_group_name.clone()) .send() .await; if let Err(err) = describe_auto_scaling_groups { return Err(ScenarioError::new( format!( "Failed to get status of autoscaling group {}", self.auto_scaling_group_name.clone() ) .as_str(), &err, )); } let describe_auto_scaling_groups_output = describe_auto_scaling_groups.unwrap(); let auto_scaling_groups = describe_auto_scaling_groups_output.auto_scaling_groups(); let auto_scaling_group = auto_scaling_groups.first(); if auto_scaling_group.is_none() { return Err(ScenarioError::with(format!( "Could not find autoscaling group {}", self.auto_scaling_group_name.clone() ))); } Ok(auto_scaling_group.unwrap().clone()) }
-
API の詳細については、TerminateInstanceInAutoScalingGroup
AWS SDK for Rust API リファレンス」を参照してください。
-
次のコード例は、UpdateAutoScalingGroup
を使用する方法を示しています。
- Rust のSDK
-
注記
GitHub には他にもあります。用例一覧を検索し、AWS コード例リポジトリ
での設定と実行の方法を確認してください。 async fn update_group(client: &Client, name: &str, size: i32) -> Result<(), Error> { client .update_auto_scaling_group() .auto_scaling_group_name(name) .max_size(size) .send() .await?; println!("Updated AutoScaling group"); Ok(()) }
-
API の詳細については、UpdateAutoScalingGroup
AWS SDK for Rust API リファレンス」を参照してください。
-