@aws-cdk/aws-ecs
Advanced tools
This package contains constructs for working with Amazon Elastic Container Service (Amazon ECS).
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service.
For further information on Amazon ECS, see the Amazon ECS documentation
The following example creates an Amazon ECS cluster, adds capacity to it, and runs a service on it:
declare const vpc: ec2.Vpc;
// Create an ECS cluster
const cluster = new ecs.Cluster(this, 'Cluster', {
vpc,
});
// Add capacity to it
cluster.addCapacity('DefaultAutoScalingGroupCapacity', {
instanceType: new ec2.InstanceType("t2.xlarge"),
desiredCapacity: 3,
});
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('DefaultContainer', {
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
memoryLimitMiB: 512,
});
// Instantiate an Amazon ECS Service
const ecsService = new ecs.Ec2Service(this, 'Service', {
cluster,
taskDefinition,
});
For a set of constructs defining common ECS architectural patterns, see the @aws-cdk/aws-ecs-patterns package.
There are two sets of constructs in this library; one to run tasks on Amazon EC2 and one to run tasks on AWS Fargate.
Ec2TaskDefinition and Ec2Service constructs to run tasks on Amazon EC2 instances running in your account.FargateTaskDefinition and FargateService constructs to run tasks on
instances that are managed for you by AWS.ExternalTaskDefinition and ExternalService constructs to run AWS ECS Anywhere tasks on self-managed infrastructure.Here are the main differences:
For more information on Amazon EC2 vs AWS Fargate, networking and ECS Anywhere see the AWS Documentation: AWS Fargate, Task Networking, ECS Anywhere
A Cluster defines the infrastructure to run your
tasks on. You can run many tasks on a single cluster.
The following code creates a cluster that can run AWS Fargate tasks:
declare const vpc: ec2.Vpc;
const cluster = new ecs.Cluster(this, 'Cluster', {
vpc,
});
The following code imports an existing cluster using the ARN which can be used to import an Amazon ECS service either EC2 or Fargate.
const clusterArn = 'arn:aws:ecs:us-east-1:012345678910:cluster/clusterName';
const cluster = ecs.Cluster.fromClusterArn(this, 'Cluster', clusterArn);
To use tasks with Amazon EC2 launch-type, you have to add capacity to the cluster in order for tasks to be scheduled on your instances. Typically, you add an AutoScalingGroup with instances running the latest Amazon ECS-optimized AMI to the cluster. There is a method to build and add such an AutoScalingGroup automatically, or you can supply a customized AutoScalingGroup that you construct yourself. It's possible to add multiple AutoScalingGroups with various instance types.
The following example creates an Amazon ECS cluster and adds capacity to it:
declare const vpc: ec2.Vpc;
const cluster = new ecs.Cluster(this, 'Cluster', {
vpc,
});
// Either add default capacity
cluster.addCapacity('DefaultAutoScalingGroupCapacity', {
instanceType: new ec2.InstanceType("t2.xlarge"),
desiredCapacity: 3,
});
// Or add customized capacity. Be sure to start the Amazon ECS-optimized AMI.
const autoScalingGroup = new autoscaling.AutoScalingGroup(this, 'ASG', {
vpc,
instanceType: new ec2.InstanceType('t2.xlarge'),
machineImage: ecs.EcsOptimizedImage.amazonLinux(),
// Or use Amazon ECS-Optimized Amazon Linux 2 AMI
// machineImage: EcsOptimizedImage.amazonLinux2(),
desiredCapacity: 3,
// ... other options here ...
});
const capacityProvider = new ecs.AsgCapacityProvider(this, 'AsgCapacityProvider', {
autoScalingGroup,
});
cluster.addAsgCapacityProvider(capacityProvider);
If you omit the property vpc, the construct will create a new VPC with two AZs.
By default, all machine images will auto-update to the latest version on each deployment, causing a replacement of the instances in your AutoScalingGroup if the AMI has been updated since the last deployment.
If task draining is enabled, ECS will transparently reschedule tasks on to the new
instances before terminating your old instances. If you have disabled task draining,
the tasks will be terminated along with the instance. To prevent that, you
can pick a non-updating AMI by passing cacheInContext: true, but be sure
to periodically update to the latest AMI manually by using the CDK CLI
context management commands:
declare const vpc: ec2.Vpc;
const autoScalingGroup = new autoscaling.AutoScalingGroup(this, 'ASG', {
machineImage: ecs.EcsOptimizedImage.amazonLinux({ cachedInContext: true }),
vpc,
instanceType: new ec2.InstanceType('t2.micro'),
});
Bottlerocket is a Linux-based open source operating system that is purpose-built by AWS for running containers. You can launch Amazon ECS container instances with the Bottlerocket AMI.
The following example will create a capacity with self-managed Amazon EC2 capacity of 2 c5.large Linux instances running with Bottlerocket AMI.
The following example adds Bottlerocket capacity to the cluster:
declare const cluster: ecs.Cluster;
cluster.addCapacity('bottlerocket-asg', {
minCapacity: 2,
instanceType: new ec2.InstanceType('c5.large'),
machineImage: new ecs.BottleRocketImage(),
});
To launch instances with ARM64 hardware, you can use the Amazon ECS-optimized Amazon Linux 2 (arm64) AMI. Based on Amazon Linux 2, this AMI is recommended for use when launching your EC2 instances that are powered by Arm-based AWS Graviton Processors.
declare const cluster: ecs.Cluster;
cluster.addCapacity('graviton-cluster', {
minCapacity: 2,
instanceType: new ec2.InstanceType('c6g.large'),
machineImage: ecs.EcsOptimizedImage.amazonLinux2(ecs.AmiHardwareType.ARM),
});
Bottlerocket is also supported:
declare const cluster: ecs.Cluster;
cluster.addCapacity('graviton-cluster', {
minCapacity: 2,
instanceType: new ec2.InstanceType('c6g.large'),
machineImageType: ecs.MachineImageType.BOTTLEROCKET,
});
To add spot instances into the cluster, you must specify the spotPrice in the ecs.AddCapacityOptions and optionally enable the spotInstanceDraining property.
declare const cluster: ecs.Cluster;
// Add an AutoScalingGroup with spot instances to the existing cluster
cluster.addCapacity('AsgSpot', {
maxCapacity: 2,
minCapacity: 2,
desiredCapacity: 2,
instanceType: new ec2.InstanceType('c5.xlarge'),
spotPrice: '0.0735',
// Enable the Automated Spot Draining support for Amazon ECS
spotInstanceDraining: true,
});
When the ecs.AddCapacityOptions that you provide has a non-zero taskDrainTime (the default) then an SNS topic and Lambda are created to ensure that the
cluster's instances have been properly drained of tasks before terminating. The SNS Topic is sent the instance-terminating lifecycle event from the AutoScalingGroup,
and the Lambda acts on that event. If you wish to engage server-side encryption for this SNS Topic
then you may do so by providing a KMS key for the topicEncryptionKey property of ecs.AddCapacityOptions.
// Given
declare const cluster: ecs.Cluster;
declare const key: kms.Key;
// Then, use that key to encrypt the lifecycle-event SNS Topic.
cluster.addCapacity('ASGEncryptedSNS', {
instanceType: new ec2.InstanceType("t2.xlarge"),
desiredCapacity: 3,
topicEncryptionKey: key,
});
A task definition describes what a single copy of a task should look like. A task definition has one or more containers; typically, it has one main container (the default container is the first one that's added to the task definition, and it is marked essential) and optionally some supporting containers which are used to support the main container, doings things like upload logs or metrics to monitoring services.
To run a task or service with Amazon EC2 launch type, use the Ec2TaskDefinition. For AWS Fargate tasks/services, use the
FargateTaskDefinition. For AWS ECS Anywhere use the ExternalTaskDefinition. These classes
provide simplified APIs that only contain properties relevant for each specific launch type.
For a FargateTaskDefinition, specify the task size (memoryLimitMiB and cpu):
const fargateTaskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef', {
memoryLimitMiB: 512,
cpu: 256,
});
On Fargate Platform Version 1.4.0 or later, you may specify up to 200GiB of ephemeral storage:
const fargateTaskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef', {
memoryLimitMiB: 512,
cpu: 256,
ephemeralStorageGiB: 100,
});
To add containers to a task definition, call addContainer():
const fargateTaskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef', {
memoryLimitMiB: 512,
cpu: 256,
});
const container = fargateTaskDefinition.addContainer("WebContainer", {
// Use an image from DockerHub
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
// ... other options here ...
});
For a Ec2TaskDefinition:
const ec2TaskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef', {
networkMode: ecs.NetworkMode.BRIDGE,
});
const container = ec2TaskDefinition.addContainer("WebContainer", {
// Use an image from DockerHub
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
memoryLimitMiB: 1024,
// ... other options here ...
});
For an ExternalTaskDefinition:
const externalTaskDefinition = new ecs.ExternalTaskDefinition(this, 'TaskDef');
const container = externalTaskDefinition.addContainer("WebContainer", {
// Use an image from DockerHub
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
memoryLimitMiB: 1024,
// ... other options here ...
});
You can specify container properties when you add them to the task definition, or with various methods, e.g.:
To add a port mapping when adding a container to the task definition, specify the portMappings option:
declare const taskDefinition: ecs.TaskDefinition;
taskDefinition.addContainer("WebContainer", {
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
memoryLimitMiB: 1024,
portMappings: [{ containerPort: 3000 }],
});
To add port mappings directly to a container definition, call addPortMappings():
declare const container: ecs.ContainerDefinition;
container.addPortMappings({
containerPort: 3000,
});
To add data volumes to a task definition, call addVolume():
const fargateTaskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef', {
memoryLimitMiB: 512,
cpu: 256,
});
const volume = {
// Use an Elastic FileSystem
name: "mydatavolume",
efsVolumeConfiguration: {
fileSystemId: "EFS",
// ... other options here ...
},
};
const container = fargateTaskDefinition.addVolume(volume);
Note: ECS Anywhere doesn't support volume attachments in the task definition.
To use a TaskDefinition that can be used with either Amazon EC2 or
AWS Fargate launch types, use the TaskDefinition construct.
When creating a task definition you have to specify what kind of tasks you intend to run: Amazon EC2, AWS Fargate, or both. The following example uses both:
const taskDefinition = new ecs.TaskDefinition(this, 'TaskDef', {
memoryMiB: '512',
cpu: '256',
networkMode: ecs.NetworkMode.AWS_VPC,
compatibility: ecs.Compatibility.EC2_AND_FARGATE,
});
Images supply the software that runs inside the container. Images can be obtained from either DockerHub or from ECR repositories, built directly from a local Dockerfile, or use an existing tarball.
ecs.ContainerImage.fromRegistry(imageName): use a public image.ecs.ContainerImage.fromRegistry(imageName, { credentials: mySecret }): use a private image that requires credentials.ecs.ContainerImage.fromEcrRepository(repo, tagOrDigest): use the given ECR repository as the image
to start. If no tag or digest is provided, "latest" is assumed.ecs.ContainerImage.fromAsset('./image'): build and upload an
image directly from a Dockerfile in your source directory.ecs.ContainerImage.fromDockerImageAsset(asset): uses an existing
@aws-cdk/aws-ecr-assets.DockerImageAsset as a container image.ecs.ContainerImage.fromTarball(file): use an existing tarball.new ecs.TagParameterContainerImage(repository): use the given ECR repository as the image
but a CloudFormation parameter as the tag.To pass environment variables to the container, you can use the environment, environmentFiles, and secrets props.
declare const secret: secretsmanager.Secret;
declare const dbSecret: secretsmanager.Secret;
declare const parameter: ssm.StringParameter;
declare const taskDefinition: ecs.TaskDefinition;
declare const s3Bucket: s3.Bucket;
const newContainer = taskDefinition.addContainer('container', {
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
memoryLimitMiB: 1024,
environment: { // clear text, not for sensitive data
STAGE: 'prod',
},
environmentFiles: [ // list of environment files hosted either on local disk or S3
ecs.EnvironmentFile.fromAsset('./demo-env-file.env'),
ecs.EnvironmentFile.fromBucket(s3Bucket, 'assets/demo-env-file.env'),
],
secrets: { // Retrieved from AWS Secrets Manager or AWS Systems Manager Parameter Store at container start-up.
SECRET: ecs.Secret.fromSecretsManager(secret),
DB_PASSWORD: ecs.Secret.fromSecretsManager(dbSecret, 'password'), // Reference a specific JSON field, (requires platform version 1.4.0 or later for Fargate tasks)
API_KEY: ecs.Secret.fromSecretsManagerVersion(secret, { versionId: '12345' }, 'apiKey'), // Reference a specific version of the secret by its version id or version stage (requires platform version 1.4.0 or later for Fargate tasks)
PARAMETER: ecs.Secret.fromSsmParameter(parameter),
},
});
newContainer.addEnvironment('QUEUE_NAME', 'MyQueue');
The task execution role is automatically granted read permissions on the secrets/parameters. Support for environment files is restricted to the EC2 launch type for files hosted on S3. Further details provided in the AWS documentation about specifying environment variables.
To set system controls (kernel parameters) on the container, use the systemControls prop:
declare const taskDefinition: ecs.TaskDefinition;
taskDefinition.addContainer('container', {
image: ecs.ContainerImage.fromRegistry("amazon/amazon-ecs-sample"),
memoryLimitMiB: 1024,
systemControls: [
{
namespace: 'net',
value: 'ipv4.tcp_tw_recycle',
},
],
});
AWS Fargate supports Amazon ECS Windows containers. For more details, please see this blog post
// Create a Task Definition for the Windows container to start
const taskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef', {
runtimePlatform: {
operatingSystemFamily: ecs.OperatingSystemFamily.WINDOWS_SERVER_2019_CORE,
cpuArchitecture: ecs.CpuArchitecture.X86_64,
},
cpu: 1024,
memoryLimitMiB: 2048,
});
taskDefinition.addContainer('windowsservercore', {
logging: ecs.LogDriver.awsLogs({ streamPrefix: 'win-iis-on-fargate' }),
portMappings: [{ containerPort: 80 }],
image: ecs.ContainerImage.fromRegistry('mcr.microsoft.com/windows/servercore/iis:windowsservercore-ltsc2019'),
});
AWS Graviton2 supports AWS Fargate. For more details, please see this blog post
// Create a Task Definition for running container on Graviton Runtime.
const taskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef', {
runtimePlatform: {
operatingSystemFamily: ecs.OperatingSystemFamily.LINUX,
cpuArchitecture: ecs.CpuArchitecture.ARM64,
},
cpu: 1024,
memoryLimitMiB: 2048,
});
taskDefinition.addContainer('webarm64', {
logging: ecs.LogDriver.awsLogs({ streamPrefix: 'graviton2-on-fargate' }),
portMappings: [{ containerPort: 80 }],
image: ecs.ContainerImage.fromRegistry('public.ecr.aws/nginx/nginx:latest-arm64v8'),
});
A Service instantiates a TaskDefinition on a Cluster a given number of
times, optionally associating them with a load balancer.
If a task fails,
Amazon ECS automatically restarts the task.
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
const service = new ecs.FargateService(this, 'Service', {
cluster,
taskDefinition,
desiredCount: 5,
});
ECS Anywhere service definition looks like:
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
const service = new ecs.ExternalService(this, 'Service', {
cluster,
taskDefinition,
desiredCount: 5,
});
Services by default will create a security group if not provided.
If you'd like to specify which security groups to use you can override the securityGroups property.
Amazon ECS deployment circuit breaker
automatically rolls back unhealthy service deployments without the need for manual intervention. Use circuitBreaker to enable
deployment circuit breaker and optionally enable rollback for automatic rollback. See Using the deployment circuit breaker
for more details.
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
const service = new ecs.FargateService(this, 'Service', {
cluster,
taskDefinition,
circuitBreaker: { rollback: true },
});
Note: ECS Anywhere doesn't support deployment circuit breakers and rollback.
Services are load balancing targets and can be added to a target group, which will be attached to an application/network load balancers:
declare const vpc: ec2.Vpc;
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
const service = new ecs.FargateService(this, 'Service', { cluster, taskDefinition });
const lb = new elbv2.ApplicationLoadBalancer(this, 'LB', { vpc, internetFacing: true });
const listener = lb.addListener('Listener', { port: 80 });
const targetGroup1 = listener.addTargets('ECS1', {
port: 80,
targets: [service],
});
const targetGroup2 = listener.addTargets('ECS2', {
port: 80,
targets: [service.loadBalancerTarget({
containerName: 'MyContainer',
containerPort: 8080
})],
});
Note: ECS Anywhere doesn't support application/network load balancers.
Note that in the example above, the default service only allows you to register the first essential container or the first mapped port on the container as a target and add it to a new target group. To have more control over which container and port to register as targets, you can use service.loadBalancerTarget() to return a load balancing target for a specific container and port.
Alternatively, you can also create all load balancer targets to be registered in this service, add them to target groups, and attach target groups to listeners accordingly.
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
declare const vpc: ec2.Vpc;
const service = new ecs.FargateService(this, 'Service', { cluster, taskDefinition });
const lb = new elbv2.ApplicationLoadBalancer(this, 'LB', { vpc, internetFacing: true });
const listener = lb.addListener('Listener', { port: 80 });
service.registerLoadBalancerTargets(
{
containerName: 'web',
containerPort: 80,
newTargetGroupId: 'ECS',
listener: ecs.ListenerConfig.applicationListener(listener, {
protocol: elbv2.ApplicationProtocol.HTTPS
}),
},
);
If you want to put your Load Balancer and the Service it is load balancing to in
different stacks, you may not be able to use the convenience methods
loadBalancer.addListener() and listener.addTargets().
The reason is that these methods will create resources in the same Stack as the
object they're called on, which may lead to cyclic references between stacks.
Instead, you will have to create an ApplicationListener in the service stack,
or an empty TargetGroup in the load balancer stack that you attach your
service to.
See the ecs/cross-stack-load-balancer example for the alternatives.
Services can also be directly attached to a classic load balancer as targets:
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
declare const vpc: ec2.Vpc;
const service = new ecs.Ec2Service(this, 'Service', { cluster, taskDefinition });
const lb = new elb.LoadBalancer(this, 'LB', { vpc });
lb.addListener({ externalPort: 80 });
lb.addTarget(service);
Similarly, if you want to have more control over load balancer targeting:
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
declare const vpc: ec2.Vpc;
const service = new ecs.Ec2Service(this, 'Service', { cluster, taskDefinition });
const lb = new elb.LoadBalancer(this, 'LB', { vpc });
lb.addListener({ externalPort: 80 });
lb.addTarget(service.loadBalancerTarget({
containerName: 'MyContainer',
containerPort: 80,
}));
There are two higher-level constructs available which include a load balancer for you that can be found in the aws-ecs-patterns module:
LoadBalancedFargateServiceLoadBalancedEc2ServiceYou can configure the task count of a service to match demand. Task auto-scaling is
configured by calling autoScaleTaskCount():
declare const target: elbv2.ApplicationTargetGroup;
declare const service: ecs.BaseService;
const scaling = service.autoScaleTaskCount({ maxCapacity: 10 });
scaling.scaleOnCpuUtilization('CpuScaling', {
targetUtilizationPercent: 50,
});
scaling.scaleOnRequestCount('RequestScaling', {
requestsPerTarget: 10000,
targetGroup: target,
});
Task auto-scaling is powered by Application Auto-Scaling. See that section for details.
To start an Amazon ECS task on an Amazon EC2-backed Cluster, instantiate an
@aws-cdk/aws-events-targets.EcsTask instead of an Ec2Service:
declare const cluster: ecs.Cluster;
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromAsset(path.resolve(__dirname, '..', 'eventhandler-image')),
memoryLimitMiB: 256,
logging: new ecs.AwsLogDriver({ streamPrefix: 'EventDemo', mode: ecs.AwsLogDriverMode.NON_BLOCKING }),
});
// An Rule that describes the event trigger (in this case a scheduled run)
const rule = new events.Rule(this, 'Rule', {
schedule: events.Schedule.expression('rate(1 min)'),
});
// Pass an environment variable to the container 'TheContainer' in the task
rule.addTarget(new targets.EcsTask({
cluster,
taskDefinition,
taskCount: 1,
containerOverrides: [{
containerName: 'TheContainer',
environment: [{
name: 'I_WAS_TRIGGERED',
value: 'From CloudWatch Events'
}],
}],
}));
Currently Supported Log Drivers:
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.awsLogs({ streamPrefix: 'EventDemo' }),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.fluentd(),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.gelf({ address: 'my-gelf-address' }),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.journald(),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.jsonFile(),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.splunk({
token: SecretValue.secretsManager('my-splunk-token'),
url: 'my-splunk-url',
}),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.syslog(),
});
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.firelens({
options: {
Name: 'firehose',
region: 'us-west-2',
delivery_stream: 'my-stream',
},
}),
});
To pass secrets to the log configuration, use the secretOptions property of the log configuration. The task execution role is automatically granted read permissions on the secrets/parameters.
declare const secret: secretsmanager.Secret;
declare const parameter: ssm.StringParameter;
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: ecs.LogDrivers.firelens({
options: {
// ... log driver options here ...
},
secretOptions: { // Retrieved from AWS Secrets Manager or AWS Systems Manager Parameter Store
apikey: ecs.Secret.fromSecretsManager(secret),
host: ecs.Secret.fromSsmParameter(parameter),
},
}),
});
A generic log driver object exists to provide a lower level abstraction of the log driver configuration.
// Create a Task Definition for the container to start
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('TheContainer', {
image: ecs.ContainerImage.fromRegistry('example-image'),
memoryLimitMiB: 256,
logging: new ecs.GenericLogDriver({
logDriver: 'fluentd',
options: {
tag: 'example-tag',
},
}),
});
To register your ECS service with a CloudMap Service Registry, you may add the
cloudMapOptions property to your service:
declare const taskDefinition: ecs.TaskDefinition;
declare const cluster: ecs.Cluster;
const service = new ecs.Ec2Service(this, 'Service', {
cluster,
taskDefinition,
cloudMapOptions: {
// Create A records - useful for AWSVPC network mode.
dnsRecordType: cloudmap.DnsRecordType.A,
},
});
With bridge or host network modes, only SRV DNS record types are supported.
By default, SRV DNS record types will target the default container and default
port. However, you may target a different container and port on the same ECS task:
declare const taskDefinition: ecs.TaskDefinition;
declare const cluster: ecs.Cluster;
// Add a container to the task definition
const specificContainer = taskDefinition.addContainer('Container', {
image: ecs.ContainerImage.fromRegistry('/aws/aws-example-app'),
memoryLimitMiB: 2048,
});
// Add a port mapping
specificContainer.addPortMappings({
containerPort: 7600,
protocol: ecs.Protocol.TCP,
});
new ecs.Ec2Service(this, 'Service', {
cluster,
taskDefinition,
cloudMapOptions: {
// Create SRV records - useful for bridge networking
dnsRecordType: cloudmap.DnsRecordType.SRV,
// Targets port TCP port 7600 `specificContainer`
container: specificContainer,
containerPort: 7600,
},
});
You may associate an ECS service with a specific CloudMap service. To do
this, use the service's associateCloudMapService method:
declare const cloudMapService: cloudmap.Service;
declare const ecsService: ecs.FargateService;
ecsService.associateCloudMapService({
service: cloudMapService,
});
There are two major families of Capacity Providers: AWS Fargate (including Fargate Spot) and EC2 Auto Scaling Group Capacity Providers. Both are supported.
To enable Fargate capacity providers, you can either set
enableFargateCapacityProviders to true when creating your cluster, or by
invoking the enableFargateCapacityProviders() method after creating your
cluster. This will add both FARGATE and FARGATE_SPOT as available capacity
providers on your cluster.
declare const vpc: ec2.Vpc;
const cluster = new ecs.Cluster(this, 'FargateCPCluster', {
vpc,
enableFargateCapacityProviders: true,
});
const taskDefinition = new ecs.FargateTaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('web', {
image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
});
new ecs.FargateService(this, 'FargateService', {
cluster,
taskDefinition,
capacityProviderStrategies: [
{
capacityProvider: 'FARGATE_SPOT',
weight: 2,
},
{
capacityProvider: 'FARGATE',
weight: 1,
},
],
});
To add an Auto Scaling Group Capacity Provider, first create an EC2 Auto Scaling
Group. Then, create an AsgCapacityProvider and pass the Auto Scaling Group to
it in the constructor. Then add the Capacity Provider to the cluster. Finally,
you can refer to the Provider by its name in your service's or task's Capacity
Provider strategy.
By default, an Auto Scaling Group Capacity Provider will manage the Auto Scaling
Group's size for you. It will also enable managed termination protection, in
order to prevent EC2 Auto Scaling from terminating EC2 instances that have tasks
running on them. If you want to disable this behavior, set both
enableManagedScaling to and enableManagedTerminationProtection to false.
declare const vpc: ec2.Vpc;
const cluster = new ecs.Cluster(this, 'Cluster', {
vpc,
});
const autoScalingGroup = new autoscaling.AutoScalingGroup(this, 'ASG', {
vpc,
instanceType: new ec2.InstanceType('t2.micro'),
machineImage: ecs.EcsOptimizedImage.amazonLinux2(),
minCapacity: 0,
maxCapacity: 100,
});
const capacityProvider = new ecs.AsgCapacityProvider(this, 'AsgCapacityProvider', {
autoScalingGroup,
});
cluster.addAsgCapacityProvider(capacityProvider);
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'TaskDef');
taskDefinition.addContainer('web', {
image: ecs.ContainerImage.fromRegistry('amazon/amazon-ecs-sample'),
memoryReservationMiB: 256,
});
new ecs.Ec2Service(this, 'EC2Service', {
cluster,
taskDefinition,
capacityProviderStrategies: [
{
capacityProvider: capacityProvider.capacityProviderName,
weight: 1,
},
],
});
Currently, this feature is only supported for services with EC2 launch types.
To add elastic inference accelerators to your EC2 instance, first add
inferenceAccelerators field to the Ec2TaskDefinition and set the deviceName
and deviceType properties.
const inferenceAccelerators = [{
deviceName: 'device1',
deviceType: 'eia2.medium',
}];
const taskDefinition = new ecs.Ec2TaskDefinition(this, 'Ec2TaskDef', {
inferenceAccelerators,
});
To enable using the inference accelerators in the containers, add inferenceAcceleratorResources
field and set it to a list of device names used for the inference accelerators. Each value in the
list should match a DeviceName for an InferenceAccelerator specified in the task definition.
declare const taskDefinition: ecs.TaskDefinition;
const inferenceAcceleratorResources = ['device1'];
taskDefinition.addContainer('cont', {
image: ecs.ContainerImage.fromRegistry('test'),
memoryLimitMiB: 1024,
inferenceAcceleratorResources,
});
Please note, ECS Exec leverages AWS Systems Manager (SSM). So as a prerequisite for the exec command to work, you need to have the SSM plugin for the AWS CLI installed locally. For more information, see Install Session Manager plugin for AWS CLI.
To enable the ECS Exec feature for your containers, set the boolean flag enableExecuteCommand to true in
your Ec2Service or FargateService.
declare const cluster: ecs.Cluster;
declare const taskDefinition: ecs.TaskDefinition;
const service = new ecs.Ec2Service(this, 'Service', {
cluster,
taskDefinition,
enableExecuteCommand: true,
});
You can enable sending logs of your execute session commands to a CloudWatch log group or S3 bucket by configuring
the executeCommandConfiguration property for your cluster. The default configuration will send the
logs to the CloudWatch Logs using the awslogs log driver that is configured in your task definition. Please note,
when using your own logConfiguration the log group or S3 Bucket specified must already be created.
To encrypt data using your own KMS Customer Key (CMK), you must create a CMK and provide the key in the kmsKey field
of the executeCommandConfiguration. To use this key for encrypting CloudWatch log data or S3 bucket, make sure to associate the key
to these resources on creation.
declare const vpc: ec2.Vpc;
const kmsKey = new kms.Key(this, 'KmsKey');
// Pass the KMS key in the `encryptionKey` field to associate the key to the log group
const logGroup = new logs.LogGroup(this, 'LogGroup', {
encryptionKey: kmsKey,
});
// Pass the KMS key in the `encryptionKey` field to associate the key to the S3 bucket
const execBucket = new s3.Bucket(this, 'EcsExecBucket', {
encryptionKey: kmsKey,
});
const cluster = new ecs.Cluster(this, 'Cluster', {
vpc,
executeCommandConfiguration: {
kmsKey,
logConfiguration: {
cloudWatchLogGroup: logGroup,
cloudWatchEncryptionEnabled: true,
s3Bucket: execBucket,
s3EncryptionEnabled: true,
s3KeyPrefix: 'exec-command-output',
},
logging: ecs.ExecuteCommandLogging.OVERRIDE,
},
});
FAQs
The CDK Construct Library for AWS::ECS
We found that @aws-cdk/aws-ecs demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 4 open source maintainers collaborating on the project.
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