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feat(aws-ecs): add ECS/Fargate QueueWorkerService constructs (#2568)
Define a higher-level construct to model a worker queue.
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# AWS ECS - L3 Construct for Autoscaling ECS/Fargate Service that Processes Items in a SQS Queue | ||
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To address issue [#2396](https://github.com/awslabs/aws-cdk/issues/2396), the AWS ECS CDK construct library should provide a way for customers to create a queue worker service (an AWS ECS/Fargate service that processes items from an sqs queue). This would mean adding new ECS CDK constructs `Ec2QueueWorkerService` and `FargateQueryWorkerService`, that would take in the necessary properties required to create a task definition, an SQS queue as well as an ECS/Fargate service and enable autoscaling for the service based on cpu usage and the SQS queue's approximateNumberOfMessagesVisible metric. | ||
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## General approach | ||
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The new `ecs.QueueWorkerServiceBase`, `ecs.Ec2QueueWorkerService` and `ecs.FargateQueueWorkerService` classes will create L3 constructs for: | ||
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* Ec2QueueWorkerService | ||
* FargateQueueWorkerService | ||
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A `QueueWorkerService` will create a task definition with the specified container (on both EC2 and Fargate). An AWS SQS `Queue` will be created and autoscaling of the ECS Service will be dependent on both CPU as well as the SQS queue's `ApproximateNumberOfMessagesVisible` metric. | ||
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The `QueueWorkerService` constructs (for EC2 and Fargate) will use the following existing constructs: | ||
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* Ec2TaskDefinition/FargateTaskDefinition - To create a Task Definition for the container to start | ||
* SQSQueue - The queue that the worker is processing from | ||
* Ec2Service/FargateService - The Service running the container | ||
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## Code changes | ||
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Given the above, we should make the following changes to support queue workers on ECS (for both EC2 and Fargate): | ||
1. Create `QueueWorkerServiceBaseProps` interface and `QueueWorkerServiceBase` construct | ||
2. Create `Ec2QueueWorkerServiceProps` interface and `Ec2QueueWorkerService` construct | ||
3. Create `FargateQueueWorkerServiceProps` interface and `FargateQueueWorkerService` construct | ||
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### Part 1: Create `QueueWorkerServiceBaseProps` interface and `QueueWorkerServiceBase` construct | ||
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The `QueueWorkerServiceBaseProps` interface will contain common properties used to construct both the Ec2QueueWorkerService and the FargateQueueWorkerService: | ||
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```ts | ||
/** | ||
* Properties to define a Query Worker service | ||
*/ | ||
export interface QueueWorkerServiceBaseProps { | ||
/** | ||
* Cluster where service will be deployed | ||
*/ | ||
readonly cluster: ICluster; | ||
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/** | ||
* The image to start. | ||
*/ | ||
readonly image: ContainerImage; | ||
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/** | ||
* The CMD value to pass to the container as a string array. | ||
* | ||
* @default none | ||
*/ | ||
readonly command?: string[]; | ||
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/** | ||
* Number of desired copies of running tasks | ||
* | ||
* @default 1 | ||
*/ | ||
readonly desiredTaskCount?: number; | ||
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/** | ||
* Flag to indicate whether to enable logging | ||
* | ||
* @default true | ||
*/ | ||
readonly enableLogging?: boolean; | ||
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/** | ||
* The environment variables to pass to the container. | ||
* | ||
* @default 'QUEUE_NAME: queue.queueName' | ||
*/ | ||
readonly environment?: { [key: string]: string }; | ||
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/** | ||
* A queue for which to process items from. | ||
* | ||
* If specified and this is a FIFO queue, the queue name must end in the string '.fifo'. | ||
* @see https://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_CreateQueue.html | ||
* | ||
* @default 'SQSQueue with CloudFormation-generated name' | ||
*/ | ||
readonly queue?: IQueue; | ||
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/** | ||
* Maximum capacity to scale to. | ||
* | ||
* @default (desiredTaskCount * 2) | ||
*/ | ||
readonly maxScalingCapacity?: number | ||
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/** | ||
* The intervals for scaling based on the SQS queue's ApproximateNumberOfMessagesVisible metric. | ||
* | ||
* Maps a range of metric values to a particular scaling behavior. | ||
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scaling-simple-step.html | ||
* | ||
* @default [{ upper: 0, change: -1 },{ lower: 100, change: +1 },{ lower: 500, change: +5 }] | ||
*/ | ||
readonly scalingSteps: autoScaling.ScalingInterval[]; | ||
} | ||
``` | ||
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### Part 2: Create `Ec2QueueWorkerServiceProps` interface and `Ec2QueueWorkerService` construct | ||
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The `Ec2QueueWorkerServiceProps` interface will contain properties to construct the Ec2TaskDefinition, SQSQueue and Ec2Service: | ||
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```ts | ||
/** | ||
* Properties to define an ECS service | ||
*/ | ||
export interface Ec2QueueWorkerServiceProps { | ||
/** | ||
* The minimum number of CPU units to reserve for the container. | ||
* | ||
* @default none | ||
*/ | ||
readonly cpu?: number; | ||
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/** | ||
* The hard limit (in MiB) of memory to present to the container. | ||
* | ||
* If your container attempts to exceed the allocated memory, the container | ||
* is terminated. | ||
* | ||
* At least one of memoryLimitMiB and memoryReservationMiB is required for non-Fargate services. | ||
*/ | ||
readonly memoryLimitMiB?: number; | ||
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/** | ||
* The soft limit (in MiB) of memory to reserve for the container. | ||
* | ||
* When system memory is under contention, Docker attempts to keep the | ||
* container memory within the limit. If the container requires more memory, | ||
* it can consume up to the value specified by the Memory property or all of | ||
* the available memory on the container instance—whichever comes first. | ||
* | ||
* At least one of memoryLimitMiB and memoryReservationMiB is required for non-Fargate services. | ||
*/ | ||
readonly memoryReservationMiB?: number; | ||
} | ||
``` | ||
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An example use case: | ||
```ts | ||
// Create the vpc and cluster used by the Queue Worker task | ||
const vpc = new ec2.VpcNetwork(stack, 'Vpc', { maxAZs: 1 }); | ||
const cluster = new ecs.Cluster(stack, 'EcsCluster', { vpc }); | ||
cluster.addCapacity('DefaultAutoScalingGroup', { | ||
instanceType: new ec2.InstanceType('t2.micro') | ||
}); | ||
const queue = new sqs.Queue(stack, 'WorkerQueue', { | ||
QueueName: 'EcsWorkerQueue' | ||
}); | ||
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// Create the Queue Worker task | ||
new Ec2QueueWorkerService(stack, 'EcsQueueWorkerService', { | ||
cluster, | ||
image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'), | ||
desiredTaskCount: 2, | ||
maxScalingCapacity: 5, | ||
memoryReservationMiB: 512, | ||
cpu: 256, | ||
queue | ||
}); | ||
``` | ||
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### Part 3: Create `FargateQueueWorkerServiceProps` interface and `FargateQueueWorkerService` construct | ||
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The `FargateQueueWorkerServiceProps` interface will contain properties to construct the FargateTaskDefinition, SQSQueue and FargateService: | ||
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```ts | ||
/** | ||
* Properties to define an Fargate service | ||
*/ | ||
export interface FargateQueueWorkerServiceProps { | ||
/** | ||
* The number of cpu units used by the task. | ||
* Valid values, which determines your range of valid values for the memory parameter: | ||
* 256 (.25 vCPU) - Available memory values: 0.5GB, 1GB, 2GB | ||
* 512 (.5 vCPU) - Available memory values: 1GB, 2GB, 3GB, 4GB | ||
* 1024 (1 vCPU) - Available memory values: 2GB, 3GB, 4GB, 5GB, 6GB, 7GB, 8GB | ||
* 2048 (2 vCPU) - Available memory values: Between 4GB and 16GB in 1GB increments | ||
* 4096 (4 vCPU) - Available memory values: Between 8GB and 30GB in 1GB increments | ||
* | ||
* This default is set in the underlying FargateTaskDefinition construct. | ||
* | ||
* @default 256 | ||
*/ | ||
readonly cpu?: string; | ||
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/** | ||
* The amount (in MiB) of memory used by the task. | ||
* | ||
* This field is required and you must use one of the following values, which determines your range of valid values | ||
* for the cpu parameter: | ||
* | ||
* 0.5GB, 1GB, 2GB - Available cpu values: 256 (.25 vCPU) | ||
* | ||
* 1GB, 2GB, 3GB, 4GB - Available cpu values: 512 (.5 vCPU) | ||
* | ||
* 2GB, 3GB, 4GB, 5GB, 6GB, 7GB, 8GB - Available cpu values: 1024 (1 vCPU) | ||
* | ||
* Between 4GB and 16GB in 1GB increments - Available cpu values: 2048 (2 vCPU) | ||
* | ||
* Between 8GB and 30GB in 1GB increments - Available cpu values: 4096 (4 vCPU) | ||
* | ||
* This default is set in the underlying FargateTaskDefinition construct. | ||
* | ||
* @default 512 | ||
*/ | ||
readonly memoryMiB?: string; | ||
} | ||
``` | ||
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An example use case: | ||
```ts | ||
// Create the vpc and cluster used by the Queue Worker task | ||
const vpc = new ec2.VpcNetwork(stack, 'Vpc', { maxAZs: 2 }); | ||
const cluster = new ecs.Cluster(stack, 'FargateCluster', { vpc }); | ||
const queue = new sqs.Queue(stack, 'WorkerQueue', { | ||
QueueName: 'FargateWorkerQueue' | ||
}); | ||
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// Create the Queue Worker task | ||
new FargateQueueWorkerService(stack, 'FargateQueueWorkerService', { | ||
cluster, | ||
image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'), | ||
desiredTaskCount: 2, | ||
maxScalingCapacity: 5, | ||
queue | ||
}); | ||
``` |
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import cdk = require('@aws-cdk/cdk'); | ||
import { Ec2Service } from './ec2/ec2-service'; | ||
import { Ec2TaskDefinition } from './ec2/ec2-task-definition'; | ||
import { QueueWorkerServiceBase, QueueWorkerServiceBaseProps } from './queue-worker-service-base'; | ||
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/** | ||
* Properties to define an Ec2 query worker service | ||
*/ | ||
export interface Ec2QueueWorkerServiceProps extends QueueWorkerServiceBaseProps { | ||
/** | ||
* The minimum number of CPU units to reserve for the container. | ||
* | ||
* @default none | ||
*/ | ||
readonly cpu?: number; | ||
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/** | ||
* The hard limit (in MiB) of memory to present to the container. | ||
* | ||
* If your container attempts to exceed the allocated memory, the container | ||
* is terminated. | ||
* | ||
* At least one of memoryLimitMiB and memoryReservationMiB is required for non-Fargate services. | ||
*/ | ||
readonly memoryLimitMiB?: number; | ||
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/** | ||
* The soft limit (in MiB) of memory to reserve for the container. | ||
* | ||
* When system memory is under contention, Docker attempts to keep the | ||
* container memory within the limit. If the container requires more memory, | ||
* it can consume up to the value specified by the Memory property or all of | ||
* the available memory on the container instance—whichever comes first. | ||
* | ||
* At least one of memoryLimitMiB and memoryReservationMiB is required for non-Fargate services. | ||
*/ | ||
readonly memoryReservationMiB?: number; | ||
} | ||
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/** | ||
* Class to create an Ec2 query worker service | ||
*/ | ||
export class Ec2QueueWorkerService extends QueueWorkerServiceBase { | ||
constructor(scope: cdk.Construct, id: string, props: Ec2QueueWorkerServiceProps) { | ||
super(scope, id, props); | ||
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// Create a Task Definition for the container to start | ||
const taskDefinition = new Ec2TaskDefinition(this, 'QueueWorkerTaskDef'); | ||
taskDefinition.addContainer('QueueWorkerContainer', { | ||
image: props.image, | ||
memoryLimitMiB: props.memoryLimitMiB, | ||
memoryReservationMiB: props.memoryReservationMiB, | ||
cpu: props.cpu, | ||
command: props.command, | ||
environment: this.environment, | ||
logging: this.logDriver | ||
}); | ||
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// Create an ECS service with the previously defined Task Definition and configure | ||
// autoscaling based on cpu utilization and number of messages visible in the SQS queue. | ||
const ecsService = new Ec2Service(this, 'QueueWorkerService', { | ||
cluster: props.cluster, | ||
desiredCount: this.desiredCount, | ||
taskDefinition | ||
}); | ||
this.configureAutoscalingForService(ecsService); | ||
} | ||
} |
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packages/@aws-cdk/aws-ecs/lib/fargate-queue-worker-service.ts
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import cdk = require('@aws-cdk/cdk'); | ||
import { FargateService } from './fargate/fargate-service'; | ||
import { FargateTaskDefinition } from './fargate/fargate-task-definition'; | ||
import { QueueWorkerServiceBase, QueueWorkerServiceBaseProps } from './queue-worker-service-base'; | ||
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/** | ||
* Properties to define a Fargate queue worker service | ||
*/ | ||
export interface FargateQueueWorkerServiceProps extends QueueWorkerServiceBaseProps { | ||
/** | ||
* The number of cpu units used by the task. | ||
* Valid values, which determines your range of valid values for the memory parameter: | ||
* 256 (.25 vCPU) - Available memory values: 0.5GB, 1GB, 2GB | ||
* 512 (.5 vCPU) - Available memory values: 1GB, 2GB, 3GB, 4GB | ||
* 1024 (1 vCPU) - Available memory values: 2GB, 3GB, 4GB, 5GB, 6GB, 7GB, 8GB | ||
* 2048 (2 vCPU) - Available memory values: Between 4GB and 16GB in 1GB increments | ||
* 4096 (4 vCPU) - Available memory values: Between 8GB and 30GB in 1GB increments | ||
* | ||
* This default is set in the underlying FargateTaskDefinition construct. | ||
* | ||
* @default 256 | ||
*/ | ||
readonly cpu?: string; | ||
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/** | ||
* The amount (in MiB) of memory used by the task. | ||
* | ||
* This field is required and you must use one of the following values, which determines your range of valid values | ||
* for the cpu parameter: | ||
* | ||
* 0.5GB, 1GB, 2GB - Available cpu values: 256 (.25 vCPU) | ||
* | ||
* 1GB, 2GB, 3GB, 4GB - Available cpu values: 512 (.5 vCPU) | ||
* | ||
* 2GB, 3GB, 4GB, 5GB, 6GB, 7GB, 8GB - Available cpu values: 1024 (1 vCPU) | ||
* | ||
* Between 4GB and 16GB in 1GB increments - Available cpu values: 2048 (2 vCPU) | ||
* | ||
* Between 8GB and 30GB in 1GB increments - Available cpu values: 4096 (4 vCPU) | ||
* | ||
* This default is set in the underlying FargateTaskDefinition construct. | ||
* | ||
* @default 512 | ||
*/ | ||
readonly memoryMiB?: string; | ||
} | ||
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/** | ||
* Class to create a Fargate query worker service | ||
*/ | ||
export class FargateQueueWorkerService extends QueueWorkerServiceBase { | ||
constructor(scope: cdk.Construct, id: string, props: FargateQueueWorkerServiceProps) { | ||
super(scope, id, props); | ||
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// Create a Task Definition for the container to start | ||
const taskDefinition = new FargateTaskDefinition(this, 'QueueWorkerTaskDef', { | ||
memoryMiB: props.memoryMiB !== undefined ? props.memoryMiB : '512', | ||
cpu: props.cpu !== undefined ? props.cpu : '256', | ||
}); | ||
taskDefinition.addContainer('QueueWorkerContainer', { | ||
image: props.image, | ||
command: props.command, | ||
environment: this.environment, | ||
logging: this.logDriver | ||
}); | ||
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// Create a Fargate service with the previously defined Task Definition and configure | ||
// autoscaling based on cpu utilization and number of messages visible in the SQS queue. | ||
const fargateService = new FargateService(this, 'FargateQueueWorkerService', { | ||
cluster: props.cluster, | ||
desiredCount: this.desiredCount, | ||
taskDefinition | ||
}); | ||
this.configureAutoscalingForService(fargateService); | ||
} | ||
} |
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