我的应用程序是一个Python API,我打包为Docker映像,并与ECS Fargate(Spot Instances)一起使用。下面的代码有效。
我的问题是,每次我部署此映像时,它都会重建整个映像–这非常耗时(下载所有依赖项,制作映像,上传等)。我希望它重复使用aws-cdk
本身上传到ECR的相同图像。
当我不触摸应用程序的代码并仅对堆栈进行更改时,是否有一种方法(环境变量或其他)可以跳过此操作?
#!/usr/bin/env node
import * as cdk from "@aws-cdk/core"
import * as ecs from "@aws-cdk/aws-ecs"
import * as ec2 from "@aws-cdk/aws-ec2"
import * as ecrassets from "@aws-cdk/aws-ecr-assets"
// See https://docs.aws.amazon.com/cdk/api/latest/docs/aws-ecs-readme.html
export class Stack extends cdk.Stack {
constructor(scope: cdk.Construct, id: string, props?: cdk.StackProps) {
super(scope, id, props)
/**
* Repository & Image
*/
const apiDockerImage = new ecrassets.DockerImageAsset(
this,
`my-api-image`,
{
directory: `.`,
exclude: [`cdk.out`, `cdk`, `.git`]
}
)
/**
* Cluster
*/
const myCluster = new ecs.Cluster(this, "Cluster", {})
// Add Spot Capacity to the Cluster
myCluster.addCapacity(`spot-auto-scaling-group-capacity`, {
maxCapacity: 2,
minCapacity: 1,
instanceType: new ec2.InstanceType(`r5a.large`),
spotPrice: `0.0400`,
spotInstanceDraining: true
})
// A task Definition describes what a single copy of a task should look like
const myApiFargateTaskDefinition = new ecs.FargateTaskDefinition(
this,
`api-fargate-task-definition`,
{
cpu: 2048,
memoryLimitMiB: 8192,
}
)
// Add image to task def
myApiFargateTaskDefinition.addContainer(`api-container`, {
image: ecs.ContainerImage.fromEcrRepository(
apiDockerImage.repository,
`latest`
),
})
// And the service attaching the task def to the cluster
const myApiService = new ecs.FargateService(
this,
`my-api-fargate-service`,
{
cluster: myCluster,
taskDefinition: myApiFargateTaskDefinition,
desiredCount: 1,
assignPublicIp: true,
}
)
}
}