# @aws-cdk/aws-ecs-patterns 中文文档

规范地址：https://npmcn.com/package/%40aws-cdk/aws-ecs-patterns/

版本：1\.204\.0
npm 元数据更新时间：2023-11-21T10:15:09.971Z
中文译文更新时间：2026-11-07T14:53:46.815Z
软件包许可：Apache-2\.0

本文由上游 README 翻译，可能存在偏差，请结合原文核对 API、命令与配置。版权与许可归原作者所有。

原始 npm 页面：https://www.npmjs.com/package/%40aws-cdk/aws-ecs-patterns
原文对照：https://npmcn.com/package/%40aws-cdk/aws-ecs-patterns/?lang=original
项目主页：https://github.com/aws/aws-cdk
源码仓库：https://github.com/aws/aws-cdk

弃用说明：AWS CDK v1 has reached End-of-Support on 2023-06-01\. This package is no longer being updated, and users should migrate to AWS CDK v2\. For more information on how to migrate, see https://docs\.aws\.amazon\.com/cdk/v2/guide/migrating-v2\.html

## 关键信息（来自 npm 元数据）

- 包体积（解压后）：1.4 MB，48 个文件
- 模块格式：CommonJS
- TypeScript 类型：包内自带
- Node.js 要求：\>= 14\.15\.0
- 运行依赖：16 个
- peer 依赖：@aws-cdk/aws-applicationautoscaling 1\.204\.0，@aws-cdk/aws-autoscaling 1\.204\.0，@aws-cdk/aws-certificatemanager 1\.204\.0，@aws-cdk/aws-ec2 1\.204\.0，@aws-cdk/aws-ecs 1\.204\.0，@aws-cdk/aws-elasticloadbalancingv2 1\.204\.0，@aws-cdk/aws-events 1\.204\.0，@aws-cdk/aws-events-targets 1\.204\.0，@aws-cdk/aws-iam 1\.204\.0，@aws-cdk/aws-route53 1\.204\.0，@aws-cdk/aws-route53-targets 1\.204\.0，@aws-cdk/aws-servicediscovery 1\.204\.0，@aws-cdk/aws-sqs 1\.204\.0，@aws-cdk/core 1\.204\.0，@aws-cdk/cx-api 1\.204\.0，constructs ^3\.3\.69
- 首次发布：2019-05-23T13:35:48.466Z
- 最新版本发布：2023-06-19T21:11:20.711Z
- 近 30 天下载量：13509（2026-10-07 至 2026-11-05，npm 官方下载统计）
- 已发布版本数：253（近 12 个月 0 个）

## 中文简介

AWS: ECS 的 CDK 构造库

## 安装

```sh
npm install @aws-cdk/aws-ecs-patterns
```

也可以使用：`pnpm add @aws-cdk/aws-ecs-patterns`、`yarn add @aws-cdk/aws-ecs-patterns`、`bun add @aws-cdk/aws-ecs-patterns`

## README

# 高级 ECS 建构库 CDK

* * *

![End-of-Support](https://img.shields.io/badge/End--of--Support-critical.svg?style=for-the-badge)

> AWS CDK v1在2023-06-01上达到了支持结束. 此软件包不再更新,用户应该迁移到 AWS CDK v2.
> 
> 关于如何移徙的更多信息,请参见: [_移动到 AWS CDK v2_ 指南](https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html)。 。 。 .

* * *

这个库提供更高级的亚马逊ECS构造,遵循共同的建筑模式. 它包含:

-   应用程序负载平衡服务
-   网络负载平衡服务
-   队列处理服务
-   计划任务( 长期任务)
-   其他实例

## 应用程序负载平衡服务

要定义应用程序负载平衡器背后的 Amazon ECS 服务,请立即跳出以下之一:

-   `ApplicationLoadBalancedEc2Service`

```ts
declare const cluster: ecs.Cluster;
const loadBalancedEcsService = new ecsPatterns.ApplicationLoadBalancedEc2Service(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry('test'),
    environment: {
      TEST_ENVIRONMENT_VARIABLE1: "test environment variable 1 value",
      TEST_ENVIRONMENT_VARIABLE2: "test environment variable 2 value",
    },
  },
  desiredCount: 2,
});
```

-   `ApplicationLoadBalancedFargateService`

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
});

loadBalancedFargateService.targetGroup.configureHealthCheck({
  path: "/custom-health-path",
});
```

CDK将创建一个新的ECS集群. 如果您部署多个服务 CDK 将只创建每个 VPC 一个集群 .

可以省略 `cluster` 财务报告和审定财务报表 `vpc` 使 CDK 创建一个新的带有两个 AZ 的 VPC ,并在 VPC 内部创建一个集群 .

您可以自定义对象群的健康检查; 否则默认为 `HTTP` 超过端口 `80` 点击路径 `/`。 。 。 .

远门服务将使用 `LATEST` 平台版本默认,但您可以通过提供值来覆盖 `platformVersion` 建构器中的属性.

远端服务使用默认 VPC 安全组, 除非使用 `securityGroups` 建构器中的属性.

通过设置 `redirectHTTP` 至 true, CDK 将在端口 80 上自动创建一个将 HTTP 流量重定向到 HTTPS 端口的收听器.

如果您指定了选项 `recordType` 您可以决定是否要使用 CNAME 或 Route53-Aliases 作为记录集.

如果您需要加密负载平衡器和ECS任务之间的流量,您可以设置 `targetProtocol` 改为 `HTTPS`。 。 。 .

此外,如果需要多个应用目标群体,则立即采取以下一种:

-   `ApplicationMultipleTargetGroupsEc2Service`

```ts
// One application load balancer with one listener and two target groups.
declare const cluster: ecs.Cluster;
const loadBalancedEc2Service = new ecsPatterns.ApplicationMultipleTargetGroupsEc2Service(this, 'Service', {
  cluster,
  memoryLimitMiB: 256,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  targetGroups: [
    {
      containerPort: 80,
    },
    {
      containerPort: 90,
      pathPattern: 'a/b/c',
      priority: 10,
    },
  ],
});
```

-   `ApplicationMultipleTargetGroupsFargateService`

```ts
// One application load balancer with one listener and two target groups.
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationMultipleTargetGroupsFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  targetGroups: [
    {
      containerPort: 80,
    },
    {
      containerPort: 90,
      pathPattern: 'a/b/c',
      priority: 10,
    },
  ],
});
```

## 网络负载平衡服务

要定义网络负载平衡器背后的亚马逊ECS服务,请即时跳出以下之一: 1

-   `NetworkLoadBalancedEc2Service`

```ts
declare const cluster: ecs.Cluster;
const loadBalancedEcsService = new ecsPatterns.NetworkLoadBalancedEc2Service(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry('test'),
    environment: {
      TEST_ENVIRONMENT_VARIABLE1: "test environment variable 1 value",
      TEST_ENVIRONMENT_VARIABLE2: "test environment variable 2 value",
    },
  },
  desiredCount: 2,
});
```

-   `NetworkLoadBalancedFargateService`

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.NetworkLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
});
```

CDK 将创建一个新的 Amazon ECS 集群, 如果您指定了 VPC 并省略 `cluster`。如果您部署多种服务,CDK将只创建一个集群.

若为 `cluster` 财务报告和审定财务报表 `vpc` cDK创建了一个新的VPC,在两个可提供区和本VPC内的一个集群中设有子网.

如果您指定了选项 `recordType` 您可以决定是否要使用 CNAME 或 Route53-Aliases 作为记录集.

此外,如果需要一个以上的网络目标群体,则立即采取以下行动之一:

-   网络多目标组 Ec2 服务

```ts
// Two network load balancers, each with their own listener and target group.
declare const cluster: ecs.Cluster;
const loadBalancedEc2Service = new ecsPatterns.NetworkMultipleTargetGroupsEc2Service(this, 'Service', {
  cluster,
  memoryLimitMiB: 256,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  loadBalancers: [
    {
      name: 'lb1',
      listeners: [
        {
          name: 'listener1',
        },
      ],
    },
    {
      name: 'lb2',
      listeners: [
        {
          name: 'listener2',
        },
      ],
    },
  ],
  targetGroups: [
    {
      containerPort: 80,
      listener: 'listener1',
    },
    {
      containerPort: 90,
      listener: 'listener2',
    },
  ],
});
```

-   网络多目标组

```ts
// Two network load balancers, each with their own listener and target group.
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.NetworkMultipleTargetGroupsFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  loadBalancers: [
    {
      name: 'lb1',
      listeners: [
        {
          name: 'listener1',
        },
      ],
    },
    {
      name: 'lb2',
      listeners: [
        {
          name: 'listener2',
        },
      ],
    },
  ],
  targetGroups: [
    {
      containerPort: 80,
      listener: 'listener1',
    },
    {
      containerPort: 90,
      listener: 'listener2',
    },
  ],
});
```

## 队列处理服务

要定义创建队列并从队列中读取的服务,请即时跳出以下之一:

-   `QueueProcessingEc2Service`

```ts
declare const cluster: ecs.Cluster;
const queueProcessingEc2Service = new ecsPatterns.QueueProcessingEc2Service(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  image: ecs.ContainerImage.fromRegistry('test'),
  command: ["-c", "4", "amazon.com"],
  enableLogging: false,
  desiredTaskCount: 2,
  environment: {
    TEST_ENVIRONMENT_VARIABLE1: "test environment variable 1 value",
    TEST_ENVIRONMENT_VARIABLE2: "test environment variable 2 value",
  },
  maxScalingCapacity: 5,
  containerName: 'test',
});
```

-   `QueueProcessingFargateService`

```ts
declare const cluster: ecs.Cluster;
const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  command: ["-c", "4", "amazon.com"],
  enableLogging: false,
  desiredTaskCount: 2,
  environment: {
    TEST_ENVIRONMENT_VARIABLE1: "test environment variable 1 value",
    TEST_ENVIRONMENT_VARIABLE2: "test environment variable 2 value",
  },
  maxScalingCapacity: 5,
  containerName: 'test',
});
```

当用户未提供队列时, CDK 将创建主队列和死信队列, 并带有默认的再驱动策略, 并附加任务权限, 以便访问主队列 .

## 计划任务

要确定一项定期执行的任务,有两个选项:

-   `ScheduledEc2Task`

```ts
// Instantiate an Amazon EC2 Task to run at a scheduled interval
declare const cluster: ecs.Cluster;
const ecsScheduledTask = new ecsPatterns.ScheduledEc2Task(this, 'ScheduledTask', {
  cluster,
  scheduledEc2TaskImageOptions: {
    image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
    memoryLimitMiB: 256,
    environment: { name: 'TRIGGER', value: 'CloudWatch Events' },
  },
  schedule: appscaling.Schedule.expression('rate(1 minute)'),
  enabled: true,
  ruleName: 'sample-scheduled-task-rule',
});
```

-   `ScheduledFargateTask`

```ts
declare const cluster: ecs.Cluster;
const scheduledFargateTask = new ecsPatterns.ScheduledFargateTask(this, 'ScheduledFargateTask', {
  cluster,
  scheduledFargateTaskImageOptions: {
    image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
    memoryLimitMiB: 512,
  },
  schedule: appscaling.Schedule.expression('rate(1 minute)'),
  platformVersion: ecs.FargatePlatformVersion.LATEST,
});
```

## 其他实例

除了使用构造,用户还可以添加逻辑来自定义这些构造:

### 在应用程序LoadBalancedFargateService上配置 HTTPS

```ts
import { HostedZone } from '@aws-cdk/aws-route53';
import { Certificate } from '@aws-cdk/aws-certificatemanager';
import { SslPolicy } from '@aws-cdk/aws-elasticloadbalancingv2';

const domainZone = HostedZone.fromLookup(this, 'Zone', { domainName: 'example.com' });
const certificate = Certificate.fromCertificateArn(this, 'Cert', 'arn:aws:acm:us-east-1:123456:certificate/abcdefg');

declare const vpc: ec2.Vpc;
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  vpc,
  cluster,
  certificate,
  sslPolicy: SslPolicy.RECOMMENDED,
  domainName: 'api.example.com',
  domainZone,
  redirectHTTP: true,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
});
```

### 在应用程序LoadBalancedFargateService中添加基于时间表的自动缩放

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  desiredCount: 1,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
});

const scalableTarget = loadBalancedFargateService.service.autoScaleTaskCount({
  minCapacity: 5,
  maxCapacity: 20,
});

scalableTarget.scaleOnSchedule('DaytimeScaleDown', {
  schedule: appscaling.Schedule.cron({ hour: '8', minute: '0'}),
  minCapacity: 1,
});

scalableTarget.scaleOnSchedule('EveningRushScaleUp', {
  schedule: appscaling.Schedule.cron({ hour: '20', minute: '0'}),
  minCapacity: 10,
});
```

### 在应用程序LoadBalancedFargate Service中添加基于计量的自动缩放

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  desiredCount: 1,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
});

const scalableTarget = loadBalancedFargateService.service.autoScaleTaskCount({
  minCapacity: 1,
  maxCapacity: 20,
});

scalableTarget.scaleOnCpuUtilization('CpuScaling', {
  targetUtilizationPercent: 50,
});

scalableTarget.scaleOnMemoryUtilization('MemoryScaling', {
  targetUtilizationPercent: 50,
});
```

### 更改默认的部署控制器

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  desiredCount: 1,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  deploymentController: {
    type: ecs.DeploymentControllerType.CODE_DEPLOY,
  },
});
```

### 部署断路和回滚

亚马逊ECS [部署断路器](https://aws.amazon.com/tw/blogs/containers/announcing-amazon-ecs-deployment-circuit-breaker/) 自动减少不健康的服务部署,而不需要人工干预。 使用 `circuitBreaker` 启用 部署断路器和可选启用 `rollback` 自动回滚。 见 [使用部署断路器](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/deployment-type-ecs.html) 更多细节.

```ts
declare const cluster: ecs.Cluster;
const service = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  desiredCount: 1,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  circuitBreaker: { rollback: true },
});
```

### 在队列处理中设置部署配置 服务

```ts
declare const cluster: ecs.Cluster;
const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  command: ["-c", "4", "amazon.com"],
  enableLogging: false,
  desiredTaskCount: 2,
  environment: {},
  maxScalingCapacity: 5,
  maxHealthyPercent: 200,
  minHealthyPercent: 66,
});
```

### 设置任务子网和任务安全组

```ts
declare const vpc: ec2.Vpc;
declare const securityGroup: ec2.SecurityGroup;
const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  vpc,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  securityGroups: [securityGroup],
  taskSubnets: { subnetType: ec2.SubnetType.PRIVATE_ISOLATED },
});
```

### 定义 QueeProcessingFargate Service 的公共 IP 任务

```ts
declare const vpc: ec2.Vpc;
const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  vpc,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  assignPublicIp: true,
});
```

### 为 QueeProcessingFargate Service 定义自定义队列参数的任务

```ts
declare const vpc: ec2.Vpc;
const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  vpc,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  maxReceiveCount: 42,
  retentionPeriod: Duration.days(7),
  visibilityTimeout: Duration.minutes(5),
});
```

### 设置 QueecuringFargate Services 的容量配置策略

```ts
declare const cluster: ecs.Cluster;
cluster.enableFargateCapacityProviders();

const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  capacityProviderStrategies: [
    {
      capacityProvider: 'FARGATE_SPOT',
      weight: 2,
    },
    {
      capacityProvider: 'FARGATE',
      weight: 1,
    },
  ],
});
```

### 为 QueeProcessingFargate Service 设置自定义的容器级别健康检查

```ts
declare const vpc: ec2.Vpc;
declare const securityGroup: ec2.SecurityGroup;
const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  vpc,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  healthCheck: {
    command: [ "CMD-SHELL", "curl -f http://localhost/ || exit 1" ],
    // the properties below are optional
    interval: Duration.minutes(30),
    retries: 123,
    startPeriod: Duration.minutes(30),
    timeout: Duration.minutes(30),
  },
});
```

### 设置排队处理的容量

```ts
import * as autoscaling from '@aws-cdk/aws-autoscaling';

const vpc = new ec2.Vpc(this, 'Vpc', { maxAzs: 1 });
const cluster = new ecs.Cluster(this, 'EcsCluster', { vpc });
const autoScalingGroup = new autoscaling.AutoScalingGroup(this, 'asg', {
  vpc,
  instanceType: ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.MICRO),
  machineImage: ecs.EcsOptimizedImage.amazonLinux2(),
});
const capacityProvider = new ecs.AsgCapacityProvider(this, 'provider', {
  autoScalingGroup,
});
cluster.addAsgCapacityProvider(capacityProvider);

const queueProcessingFargateService = new ecsPatterns.QueueProcessingFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 512,
  image: ecs.ContainerImage.fromRegistry('test'),
  capacityProviderStrategies: [
    {
      capacityProvider: capacityProvider.capacityProviderName,
    },
  ],
});
```

### 选择应用程序LoadBalancedFargate Service 的特定 vpc 子网

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  desiredCount: 1,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  taskSubnets: {
    subnets: [ec2.Subnet.fromSubnetId(this, 'subnet', 'VpcISOLATEDSubnet1Subnet80F07FA0')],
  },
});
```

### 设置已排定的远端任务平台

```ts
declare const cluster: ecs.Cluster;
const scheduledFargateTask = new ecsPatterns.ScheduledFargateTask(this, 'ScheduledFargateTask', {
  cluster,
  scheduledFargateTaskImageOptions: {
    image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
    memoryLimitMiB: 512,
  },
  schedule: appscaling.Schedule.expression('rate(1 minute)'),
  platformVersion: ecs.FargatePlatformVersion.VERSION1_4,
});
```

### 设置任务列表的安全组

```ts
const vpc = new ec2.Vpc(this, 'Vpc', { maxAzs: 1 });
const cluster = new ecs.Cluster(this, 'EcsCluster', { vpc });
const securityGroup = new ec2.SecurityGroup(this, 'SG', { vpc });

const scheduledFargateTask = new ecsPatterns.ScheduledFargateTask(this, 'ScheduledFargateTask', {
  cluster,
  scheduledFargateTaskImageOptions: {
    image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
    memoryLimitMiB: 512,
  },
  schedule: appscaling.Schedule.expression('rate(1 minute)'),
  securityGroups: [securityGroup],
});
```

### 使用 REMOVE DEFAULT DESIRED COUNT 特性旗

REMOVE DEFAULT DESIRED COUNT 特性旗用于覆盖由 CDK 自动生成的默认所期望的状态 。 这将设定以下任何构造所创建的任何服务的预期对象为未定义.

-   应用程序 LoadBalancedEc2 服务
-   应用程序 LoadBalancedFargate Service
-   网络LoadBalancedEc2服务
-   网络LoadBalancedFargate服务
-   队列处理 Ec2 服务
-   队列处理 Fargate 服务

如果一个理想的Count没有作为对上述构造的输入被传递,CloudFormation要么创建一个新的服务开始一个理想的Count 1,要么更新一个现有的服务开始一个与更新之前相同的理想的Count.

为启用特性旗, 确保应用程序堆栈上下文中的 REMOVE DEFAULT DESIRED COUNT 旗帜设置为真实, 如 :

```ts
declare const stack: Stack;
stack.node.setContext(cxapi.ECS_REMOVE_DEFAULT_DESIRED_COUNT, true);
```

以下是使用启用的REMOVE DEFAULT DESIRED COUNT功能旗的应用程序实例 :

```ts
import { App, Stack } from '@aws-cdk/core';
import * as ec2 from '@aws-cdk/aws-ec2';
import * as ecs from '@aws-cdk/aws-ecs';
import * as ecsPatterns from '@aws-cdk/aws-ecs-patterns';
import * as cxapi from '@aws-cdk/cx-api';
import * as path from 'path';

const app = new App();

const stack = new Stack(app, 'aws-ecs-patterns-queue');
stack.node.setContext(cxapi.ECS_REMOVE_DEFAULT_DESIRED_COUNT, true);

const vpc = new ec2.Vpc(stack, 'VPC', {
  maxAzs: 2,
});

new ecsPatterns.QueueProcessingFargateService(stack, 'QueueProcessingService', {
  vpc,
  memoryLimitMiB: 512,
  image: new ecs.AssetImage(path.join(__dirname, '..', 'sqs-reader')),
});
```

### 部署应用程序和度量衡车

下面是部署一个应用程序以及一个使用 `dockerLabels` 用于发现:

```ts
declare const cluster: ecs.Cluster;
declare const vpc: ec2.Vpc;
const service = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  vpc,
  desiredCount: 1,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
    dockerLabels: {
      'application.label.one': 'first_label',
      'application.label.two': 'second_label',
    },
  },
});

service.taskDefinition.addContainer('Sidecar', {
  image: ecs.ContainerImage.fromRegistry('example/metrics-sidecar'),
});
```

### 选择特定的负载平衡器名称应用程序LoadBalancedFargateService

```ts
declare const cluster: ecs.Cluster;
const loadBalancedFargateService = new ecsPatterns.ApplicationLoadBalancedFargateService(this, 'Service', {
  cluster,
  memoryLimitMiB: 1024,
  desiredCount: 1,
  cpu: 512,
  taskImageOptions: {
    image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
  },
  taskSubnets: {
    subnets: [ec2.Subnet.fromSubnetId(this, 'subnet', 'VpcISOLATEDSubnet1Subnet80F07FA0')],
  },
  loadBalancerName: 'application-lb-name',
});
```

## 常见问题

### @aws-cdk/aws-ecs-patterns 是什么？

AWS: ECS 的 CDK 构造库注意：该包已被作者标记为弃用——AWS CDK v1 has reached End-of-Support on 2023-06-01\. This package is no longer being updated, and users should migrate to AWS CDK v2\. For more information on how to migrate, see https://docs\.aws\.amazon\.com/cdk/v2/guide/migrating-v2\.html

### 如何安装 @aws-cdk/aws-ecs-patterns？

在项目目录运行 npm install @aws-cdk/aws-ecs-patterns，或使用 pnpm add / yarn add / bun add。它还需要宿主项目提供 peer 依赖：@aws-cdk/aws-applicationautoscaling（1\.204\.0）、@aws-cdk/aws-autoscaling（1\.204\.0）、@aws-cdk/aws-certificatemanager（1\.204\.0）、@aws-cdk/aws-ec2（1\.204\.0）、@aws-cdk/aws-ecs（1\.204\.0）、@aws-cdk/aws-elasticloadbalancingv2（1\.204\.0）、@aws-cdk/aws-events（1\.204\.0）、@aws-cdk/aws-events-targets（1\.204\.0）、@aws-cdk/aws-iam（1\.204\.0）、@aws-cdk/aws-route53（1\.204\.0）、@aws-cdk/aws-route53-targets（1\.204\.0）、@aws-cdk/aws-servicediscovery（1\.204\.0）、@aws-cdk/aws-sqs（1\.204\.0）、@aws-cdk/core（1\.204\.0）、@aws-cdk/cx-api（1\.204\.0）、constructs（^3\.3\.69）。npm 7 及以上与 pnpm 8 及以上默认会自动安装必需的 peer 依赖，Yarn 需要手动安装。

### @aws-cdk/aws-ecs-patterns 支持 TypeScript 吗？

支持。包内自带 TypeScript 类型声明（package\.json 声明了 types 入口），安装后即可获得类型提示，无需再安装 @types 包。

### @aws-cdk/aws-ecs-patterns 支持 ESM 还是 CommonJS？

以 CommonJS 形式发布，可以直接 require\(\)；在 ES Module 项目中也可以用 import 引入（Node\.js 会把 module\.exports 作为默认导出）。

### @aws-cdk/aws-ecs-patterns 需要什么版本的 Node\.js？

package\.json 的 engines 字段要求 Node\.js \>= 14\.15\.0。版本不符时 npm 默认只给出警告，开启 engine-strict 后会拒绝安装。

### @aws-cdk/aws-ecs-patterns 可以商用吗？

@aws-cdk/aws-ecs-patterns 使用 Apache-2\.0 许可。宽松许可：允许商业使用、修改和再分发，并附带明确的专利授权；分发时需保留许可与 NOTICE 文件，修改过的文件要注明改动。以上为概括，不构成法律意见，请以许可原文为准。

### @aws-cdk/aws-ecs-patterns 的下载量有多少？

根据 npm 官方下载统计，@aws-cdk/aws-ecs-patterns 在 2026/10/07 – 2026/11/05 这 30 天内被下载 13,509 次，日均约 450 次。下载量会把 CI 构建、镜像同步和作为其他包依赖的安装一并计入，适合横向比较热度，不能直接等同于使用人数。

### @aws-cdk/aws-ecs-patterns 还在维护吗？

最新版本 1\.204\.0 发布于 2023/06/20（3 年前）；至今共发布 253 个版本，其中过去 12 个月发布了 0 个；首次发布于 2019/05/23。作者已将其标记为弃用，新项目建议寻找替代方案。