def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# import default VPC
vpc = aws_ec2.Vpc.from_lookup(self, 'VPC', is_default=True)
# ECS cluster
cluster = aws_ecs.Cluster(self, 'Cluster', vpc=vpc)
task = aws_ecs.FargateTaskDefinition(
self,
'Task',
cpu=256,
memory_limit_mib=512,
)
task.add_container(
'flask',
image=aws_ecs.ContainerImage.from_asset('flask-docker-app'),
environment={
'PLATFORM': 'AWS Fargate :-)'
}).add_port_mappings(aws_ecs.PortMapping(container_port=5000))
svc = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self, 'svc', cluster=cluster, task_definition=task)
core.CfnOutput(self,
'SericeURL',
value="http://{}".format(
svc.load_balancer.load_balancer_dns_name))
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# Create a VPC
vpc = ec2.Vpc(
self,
"WebDemoVPC",
max_azs=2,
) # default is all AZs in region,
# but you can limit to avoid reaching resource quota
# Create ECS cluster
cluster = ecs.Cluster(self, "WebDemoCluster", vpc=vpc)
# Add an AutoScalingGroup with spot instances to the existing cluster
cluster.add_capacity(
"AsgSpot",
max_capacity=2,
min_capacity=1,
desired_capacity=2,
instance_type=ec2.InstanceType("c5.xlarge"),
spot_price="0.0735",
# Enable the Automated Spot Draining support for Amazon ECS
spot_instance_draining=True)
# Build Dockerfile from local folder and push to ECR
image = ecs.ContainerImage.from_asset('app')
# Create Fargate service
fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"WebDemoService",
cluster=cluster, # Required
cpu=2048, # Default is 256 (512 is 0.5 vCPU, 2048 is 2 vCPU)
desired_count=1, # Default is 1
task_image_options=ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=image,
container_port=8501,
),
memory_limit_mib=4096, # Default is 512
public_load_balancer=True) # Default is True
# Add policies to task role
fargate_service.task_definition.add_to_task_role_policy(
iam.PolicyStatement(
effect=iam.Effect.ALLOW,
actions=["rekognition:*"],
resources=["*"],
))
# Setup task auto-scaling
scaling = fargate_service.service.auto_scale_task_count(
max_capacity=10)
scaling.scale_on_cpu_utilization(
"CpuScaling",
target_utilization_percent=50,
scale_in_cooldown=core.Duration.seconds(60),
scale_out_cooldown=core.Duration.seconds(60),
)
def setup_service(self):
"""Setup ALB Fargate service
Notes
-----
The container_name in task_image_options shoue be an exsiting image in
ECR repository. Otherwise, the CFN stack will be stuck waiting for the image.
Returns
-------
aws_ecs_patterns.ApplicationLoadBalancedFargateService
"""
service = patterns.ApplicationLoadBalancedFargateService(
self,
'FargateService',
cluster=self.cluster, # Required
cpu=256, # 0.25 CPU
memory_limit_mib=512, # 0.5G
desired_count=2, # Default is 1
task_image_options=patterns.
ApplicationLoadBalancedTaskImageOptions(
container_name=self.config.api.ecr_repo,
container_port=80,
image=ecs.ContainerImage.from_ecr_repository(self.ecr_repo)),
public_load_balancer=True)
return service
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
vpc = ec2.Vpc(self, "MyVpc", max_azs=2)
cluster = ecs.Cluster(self, "MyCluster", vpc=vpc)
task_def = ecs.FargateTaskDefinition(self, "TaskDef")
app_container = task_def.add_container(
"AppContainer",
# image=ecs.ContainerImage.from_asset(
# "myapp")
image=ecs.ContainerImage.from_registry(
"mystique/predict-attire-for-weather"))
app_container.add_port_mappings(
ecs.PortMapping(container_port=80, protocol=ecs.Protocol.TCP))
myService = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"myService",
cluster=cluster,
desired_count=2,
task_definition=task_def)
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# Defines vpc to host Fargate SLB
vpc = ec2.Vpc(
self,
'cdkVPC',
cidr="10.0.0.0/24",
# two azs required to host alb
max_azs=2,
subnet_configuration=[
# create private subnet to host fargate service
ec2.SubnetConfiguration(subnet_type=ec2.SubnetType.PRIVATE,
name="cdkPrivate",
cidr_mask=28),
# create public subnet to host nat-gateway for private subnet so that amazon-ecs-sample image can be pulled from internet"
ec2.SubnetConfiguration(subnet_type=ec2.SubnetType.PUBLIC,
name="cdkPublic",
cidr_mask=28),
])
# create cluster to host fargate
cluster = ecs.Cluster(self, "CDKCluster", vpc=vpc)
# create fargate and service and alb
ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"MyFargateService",
assign_public_ip=False,
cluster=cluster,
desired_count=1,
task_image_options=ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=ecs.ContainerImage.from_registry(
"amazon/amazon-ecs-sample")),
public_load_balancer=False)
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
vpc = ec2.Vpc(
self,
"ZephStreamlitVPC",
max_azs=2, # default is all AZs in region,
)
cluster = ecs.Cluster(self, "ZephStreamlitCluster", vpc=vpc)
# Build Dockerfile from local folder and push to ECR
image = ecs.ContainerImage.from_asset('streamlit-docker')
# Use an ecs_patterns recipe to do all the rest!
ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"ZephFargateService",
cluster=cluster, # Required
cpu=256, # Default is 256
desired_count=1, # Default is 1
task_image_options=ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=image,
container_port=8501), # Docker exposes 8501 for streamlit
memory_limit_mib=512, # Default is 512
public_load_balancer=True, # Default is False
)
def airflow_web_service(self, environment):
service_name = get_webserver_service_name(self.deploy_env)
family = get_webserver_taskdef_family_name(self.deploy_env)
task_def = ecs.FargateTaskDefinition(self,
family,
cpu=512,
memory_limit_mib=1024,
family=family)
task_def.add_container(f"WebWorker-{self.deploy_env}",
image=self.image,
environment=environment,
secrets=self.secrets,
logging=ecs.LogDrivers.aws_logs(
stream_prefix=family,
log_retention=RetentionDays.ONE_DAY))
task_def.default_container.add_port_mappings(
ecs.PortMapping(container_port=8080,
host_port=8080,
protocol=Protocol.TCP))
# we want only 1 instance of the web server so when new versions are deployed max_healthy_percent=100
# you have to manually stop the current version and then it should start a new version - done by deploy task
service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
service_name,
cluster=self.cluster, # Required
service_name=service_name,
platform_version=ecs.FargatePlatformVersion.VERSION1_4,
cpu=512, # Default is 256
desired_count=1, # Default is 1
task_definition=task_def,
memory_limit_mib=2048, # Default is 512
public_load_balancer=True,
max_healthy_percent=100)
service.target_group.configure_health_check(path="/health")
return service
def fargate_service(self, id, cluster, is_alb=False, desired_count=None):
if self.task_definition is None:
raise ValueError(
"Task definition needs to be set") # TODO: make this better.
if desired_count is None:
desired_count = 1
if is_alb is False:
self.service = ecs.FargateService(
self.stack,
id,
task_definition=self.task_definition,
cluster=cluster,
desired_count=desired_count)
else:
alb = ecs_patterns.ApplicationLoadBalancedFargateService(
self.stack,
id,
task_definition=self.task_definition,
protocol=elb.ApplicationProtocol.HTTP,
cluster=cluster,
desired_count=desired_count)
self.service = alb.service
def __init__(self, scope: core.Construct, construct_id: str,
**kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
vpc = ec2.Vpc(self, "EcsVpc", max_azs=2, nat_gateways=0)
vpc.add_s3_endpoint('S3Endpoint')
vpc.add_interface_endpoint(
'EcrDockerEndpoint',
service=ec2.InterfaceVpcEndpointAwsService.ECR_DOCKER)
vpc.add_interface_endpoint(
'EcrEndpoint', service=ec2.InterfaceVpcEndpointAwsService.ECR)
vpc.add_interface_endpoint(
'CloudWatchLogsEndpoint',
service=ec2.InterfaceVpcEndpointAwsService.CLOUDWATCH_LOGS)
cluster = ecs.Cluster(self, "EcsCluster", vpc=vpc)
task_definition = ecs.FargateTaskDefinition(self,
"DemoServiceTask",
family="DemoServiceTask")
image = ecs.ContainerImage.from_asset("service")
container = task_definition.add_container("app", image=image)
container.add_port_mappings(ecs.PortMapping(container_port=8080))
ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"DemoService",
cluster=cluster,
desired_count=2,
task_definition=task_definition)
def __init__(self, scope: core.Construct, id: str, vpcId: str,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
cluster = aws_ecs.Cluster(self,
'Cluster',
vpc=scope.node.try_find_child(vpcId))
task = aws_ecs.FargateTaskDefinition(
self,
'Task',
memory_limit_mib=512,
cpu=256,
)
task.add_container('Nginx',
image=aws_ecs.ContainerImage.from_registry(
'nginx')).add_port_mappings(
aws_ecs.PortMapping(container_port=80))
svc = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self, 'FargateService', cluster=cluster, task_definition=task)
core.CfnOutput(self,
'ServiceURL',
value='http://{}/'.format(
svc.load_balancer.load_balancer_full_name))
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
vpc = ec2.Vpc(self, "CDKFargateVpc", max_azs=2)
cluster = ecs.Cluster(self, "CDKFargateCluster", vpc=vpc)
role = iam.Role.from_role_arn(self, "CDKFargateECSTaskRole", ROLE_ARN)
image = ecs.ContainerImage.from_registry(ECR_REGISOTRY)
task_definition = ecs.FargateTaskDefinition(scope=self,
id="CDKFargateECSTask",
execution_role=role,
task_role=role)
port_mapping = ecs.PortMapping(container_port=8080, host_port=8080)
task_definition.add_container(
id="CDKFargateContainer",
image=image).add_port_mappings(port_mapping)
fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"CDKFargateService",
cluster=cluster,
task_definition=task_definition,
)
core.CfnOutput(
self,
"CDKFargateLoadBalancerDNS",
value=fargate_service.load_balancer.load_balancer_dns_name,
)
def __init__(self, scope: core.Stack, id: str, **kwargs):
super().__init__(scope, id, **kwargs)
self.base_platform = BasePlatform(self, self.stack_name)
self.task_image = aws_ecs_patterns.ApplicationLoadBalancedTaskImageOptions(
image=aws_ecs.ContainerImage.from_registry(
"adam9098/ecsdemo-capacityproviders:latest"),
container_port=5000,
)
self.load_balanced_service = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"FargateCapacityProviderService",
service_name='ecsdemo-capacityproviders-fargate',
cluster=self.base_platform.ecs_cluster,
cpu=256,
memory_limit_mib=512,
desired_count=10,
public_load_balancer=True,
task_image_options=self.task_image,
platform_version=aws_ecs.FargatePlatformVersion.VERSION1_4)
# This should work, but the default child is not the service cfn, it's a list of cfn service and sec group
#self.cfn_resource = self.load_balanced_service.service.node.default_child
self.cfn_resource = self.load_balanced_service.service.node.children[0]
self.cfn_resource.add_deletion_override("Properties.LaunchType")
self.load_balanced_service.task_definition.add_to_task_role_policy(
aws_iam.PolicyStatement(
actions=['ecs:ListTasks', 'ecs:DescribeTasks'],
resources=['*']))
def __init__(self,
scope: core.Construct,
id: str,
vpc: ec2.Vpc,
repository: ecr.Repository,
shared_context: Dict[str, Any],
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
self.vpc = vpc
self.model_bucket = s3.Bucket.from_bucket_name(scope=self,
id=f'{id}-model-bucket',
bucket_name=shared_context['model_bucket_name'])
self.ecs_cluster = ecs.Cluster(self,
id=f'{id}-ecs',
cluster_name='serving-ecs',
vpc=self.vpc,
container_insights=True)
self.task_definition = ecs.FargateTaskDefinition(self,
id=f'{id}-ecs-task-definition',
memory_limit_mib=shared_context['fargate_memory_limit_mb'],
cpu=shared_context['fargate_cpu_units'])
self.task_definition.add_to_task_role_policy(iam.PolicyStatement(
actions=['s3:getObject'],
effect=iam.Effect.ALLOW,
resources=[self.model_bucket.bucket_arn, self.model_bucket.bucket_arn + '/*']
))
image = ecs.ContainerImage.from_ecr_repository(repository, 'latest')
log_driver = ecs.AwsLogDriver(
stream_prefix=id,
log_retention=logs.RetentionDays.FIVE_DAYS
)
environment = {
'MODEL_BUCKET_NAME': shared_context['model_bucket_name']
}
app_container = self.task_definition.add_container(id=f'{id}-container',
image=image,
logging=log_driver,
environment=environment)
app_container.add_port_mappings(PortMapping(container_port=shared_context['port'],
host_port=shared_context['port']))
self.service = ecs_patterns.ApplicationLoadBalancedFargateService(self,
id=f'{id}-fargate-service',
assign_public_ip=True,
cluster=self.ecs_cluster,
desired_count=1,
task_definition=self.task_definition,
open_listener=True,
listener_port=shared_context['port'],
target_protocol=ApplicationProtocol.HTTP)
def __init__(self, scope: core.Stack, id: str, **kwargs):
super().__init__(scope, id, **kwargs)
self.base_platform = BasePlatform(self, self.stack_name)
self.fargate_task_image = aws_ecs_patterns.ApplicationLoadBalancedTaskImageOptions(
image=aws_ecs.ContainerImage.from_registry(
"brentley/ecsdemo-frontend"),
container_port=3000,
environment={
"CRYSTAL_URL": "http://ecsdemo-crystal.service:3000/crystal",
"NODEJS_URL": "http://ecsdemo-nodejs.service:3000"
},
)
self.fargate_load_balanced_service = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"FrontendFargateLBService",
cluster=self.base_platform.ecs_cluster,
cpu=256,
memory_limit_mib=512,
desired_count=1,
public_load_balancer=True,
cloud_map_options=self.base_platform.sd_namespace,
task_image_options=self.fargate_task_image)
self.fargate_load_balanced_service.service.connections.allow_to(
self.base_platform.services_sec_grp,
port_range=aws_ec2.Port(protocol=aws_ec2.Protocol.TCP,
string_representation="frontendtobackend",
from_port=3000,
to_port=3000))
def __init__(self, scope, id, cluster: ecs.Cluster,
tracks_table: dynamodb.Table, processing_queue: sqs.Queue,
upload_bucket: s3.Bucket, **kwargs):
super().__init__(scope, id, **kwargs)
api_dir = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'api'))
self.api = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
'http-api-service',
cluster=cluster,
task_image_options=ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=ecs.ContainerImage.from_asset(directory=api_dir),
container_port=8080,
environment={
'PROCESSING_QUEUE_URL': processing_queue.queue_url,
'TRACKS_TABLE_NAME': tracks_table.table_name,
'UPLOAD_BUCKET_NAME': upload_bucket.bucket_name
}),
desired_count=2,
cpu=256,
memory_limit_mib=512)
processing_queue.grant_send_messages(
self.api.service.task_definition.task_role)
tracks_table.grant_read_write_data(
self.api.service.task_definition.task_role)
upload_bucket.grant_put(self.api.service.task_definition.task_role)
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
_myVpc = _ec2.Vpc(self, "myVpcID", max_azs=2, nat_gateways=1)
_ecs_cluster_2 = _ecs.Cluster(self,
'cdkFargateCluster',
vpc=_myVpc,
cluster_name="CdkFargate_Cluser_2")
_UI_SERVICE = 'thiethaa/alc-autobots-ui:latest'
# ecr.amazonaws.com
# ecs-tasks.amazonaws.com
# ecs.amazonaws.com
_container_image = _ecs.ContainerImage.from_registry(_UI_SERVICE)
_task_role = _iam.Role(
self,
"taskExeRoleID",
# role_name="ecsTaskExecutionRole",
assumed_by=_iam.ServicePrincipal(
service='ecs-tasks.amazonaws.com'))
alb_task_image_options = _ecs_patterns.ApplicationLoadBalancedTaskImageOptions(
# "taskImageOptions",
image=_container_image,
container_port=4040,
container_name="autobots-UI-container",
task_role=_task_role,
enable_logging=True)
# A Fargate service running on an ECS cluster fronted by an application load balancer
app_load_balanced_fargate_service = _ecs_patterns.ApplicationLoadBalancedFargateService(
self,
'FargateServiceALB',
cpu=256,
memory_limit_mib=512,
cluster=_ecs_cluster_2,
desired_count=1,
# listener_port=4040,
open_listener=True,
min_healthy_percent=0,
protocol=elb.ApplicationProtocol.HTTP,
service_name='autobots_ui',
task_image_options=alb_task_image_options)
# app_load_balanced_fargate_service.task_definition.execution_role.role_name("ecsTaskExecutionRole")
app_load_balancer_dns_name = app_load_balanced_fargate_service.load_balancer.load_balancer_dns_name
alb_cfn_output = core.CfnOutput(
self,
"albDNSName",
value=F"{app_load_balancer_dns_name}",
description="Application load balancer DNS Name for autobots UI")
listener_output = core.CfnOutput(
self,
"albListener",
value=F"{app_load_balanced_fargate_service.listener}",
description="app_load_balanced_fargate_service.listener")
def __init__(self, scope: core.Construct, id: str, custom_vpc,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
fargate_cluster = _ecs.Cluster(self,
"fargateClusterId",
vpc=custom_vpc)
# Export resource name. You can import in another stack if required
core.CfnOutput(self,
"ClusterNameOutput",
value=f"{fargate_cluster.cluster_name}",
export_name="ClusterName")
weather_svc_task_def = _ecs.FargateTaskDefinition(
self, "weatherTaskDefId")
weather_container = weather_svc_task_def.add_container(
"weatherContainer",
environment={'PLATFORM': 'Mystikal Fargate World :-)'},
image=_ecs.ContainerImage.from_registry(
"mystique/predict-attire-for-weather"),
memory_limit_mib=256,
cpu=256,
entry_point=[
"gunicorn", "--bind", "0.0.0.0:80", "--bind", "0.0.0.0:443",
"wsgi:application", "--access-logfile", "-", "--error-logfile",
"-", "--capture-output", "--enable-stdio-inheritance"
],
logging=_ecs.LogDrivers.aws_logs(stream_prefix="Mystique"))
weather_container.add_port_mappings(
_ecs.PortMapping(container_port=80))
weather_container.add_port_mappings(
_ecs.PortMapping(container_port=443))
weather_service = _ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"weatherServiceId",
cluster=fargate_cluster,
task_definition=weather_svc_task_def,
assign_public_ip=False,
public_load_balancer=True,
listener_port=80,
desired_count=2,
cpu=256,
memory_limit_mib=512,
service_name="weatherService",
)
# Export resource name. You can import in another stack if required
core.CfnOutput(
self,
"WeatherServiceUrl",
value=
f"http://{weather_service.load_balancer.load_balancer_dns_name}")
"""
def airflow_web_service(self, environment):
service_name = get_webserver_service_name(self.deploy_env)
family = get_webserver_taskdef_family_name(self.deploy_env)
task_def = ecs.FargateTaskDefinition(self,
family,
cpu=512,
memory_limit_mib=1024,
family=family)
task_def.add_container(f"WebWorker-{self.deploy_env}",
image=self.image,
environment=environment,
secrets=self.secrets,
logging=ecs.LogDrivers.aws_logs(
stream_prefix=family,
log_retention=RetentionDays.ONE_DAY))
task_def.default_container.add_port_mappings(
ecs.PortMapping(container_port=8080,
host_port=8080,
protocol=ec2.Protocol.TCP))
# we want only 1 instance of the web server so when new versions are deployed max_healthy_percent=100
# you have to manually stop the current version and then it should start a new version - done by deploy task
lb_security_group = ec2.SecurityGroup(
self, f"lb-sec-group-{self.deploy_env}", vpc=self.vpc)
service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
service_name,
cluster=self.cluster, # Required
service_name=service_name,
platform_version=ecs.FargatePlatformVersion.VERSION1_4,
cpu=512, # Default is 256
desired_count=1, # Default is 1
task_definition=task_def,
memory_limit_mib=2048, # Default is 512
public_load_balancer=True,
security_groups=[lb_security_group],
certificate=Certificate.from_certificate_arn(
self,
f"lb-cert-{self.deploy_env}",
certificate_arn=self.config["lb_certificate_arn"]),
max_healthy_percent=100)
service.target_group.configure_health_check(path="/health")
# restrict access to the load balancer to only VPN
lb_security_group.connections.allow_from(
ec2.Peer.ipv4(self.config["lb_vpn_addresses"]), ec2.Port.tcp(443))
# configure DNS alias for the load balancer
route53.ARecord(self,
f"lb-record-{self.deploy_env}",
zone=route53.HostedZone.from_hosted_zone_attributes(
self,
f"Zone-{self.deploy_env}",
zone_name=f"Zone-{self.deploy_env}",
hosted_zone_id=self.config["route53_zone_id"]),
record_name=self.config["lb_dns_name"],
target=route53.RecordTarget.from_alias(
targets.LoadBalancerTarget(service.load_balancer)))
return service
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# Get the hosted Zone and create a certificate for our domain
hosted_zone = route53.HostedZone.from_hosted_zone_attributes(
self,
"HostedZone",
hosted_zone_id=HOSTED_ZONE_ID,
zone_name=HOSTED_ZONE_NAME,
)
cert = certificatemanager.DnsValidatedCertificate(
self,
"Certificate",
hosted_zone=hosted_zone,
domain_name=APP_DNS_NAME)
# Set up a new VPC
vpc = ec2.Vpc(self, "med-qaid-vpc", max_azs=2)
# Set up an ECS Cluster for fargate
cluster = ecs.Cluster(self, "med-qaid-cluster", vpc=vpc)
# Define the Docker Image for our container (the CDK will do the build and push for us!)
docker_image = ecr_assets.DockerImageAsset(
self,
"med-qaid-app",
directory=os.path.join(os.path.dirname(__file__), "..", "src"),
)
# Define the fargate service + ALB
fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"FargateService",
cluster=cluster,
certificate=cert,
domain_name=f"{APP_DNS_NAME}",
domain_zone=hosted_zone,
cpu=2048,
memory_limit_mib=16384,
task_image_options={
"image":
ecs.ContainerImage.from_docker_image_asset(docker_image),
"environment": {
"PORT": "80",
},
},
)
# Allow 10 seconds for in flight requests before termination, the default of 5 minutes is much too high.
fargate_service.target_group.set_attribute(
key="deregistration_delay.timeout_seconds", value="10")
def __init__(self, scope: core.Construct, id: str, cluster_configuration,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
self.cluster_configuration = cluster_configuration
cluster_vpc = aws_ec2.Vpc(
self,
"ClusterVPC",
cidr="10.0.0.0/16",
nat_gateways=1,
)
core.Tags.of(cluster_vpc).add(
"Name", cluster_configuration['cluster_name'] + "VPC")
cluster = aws_ecs.Cluster(
self,
"ECSCluster",
cluster_name=cluster_configuration['cluster_name'],
vpc=cluster_vpc)
if self.cluster_configuration['fargate_enabled'] is True:
aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"ECSFargateService",
service_name=cluster_configuration['cluster_name'] + "Service",
cluster=cluster, # Required
cpu=cluster_configuration["container_cpu"], # Default is 256
desired_count=cluster_configuration["container_desired_count"],
task_image_options=aws_ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=aws_ecs.ContainerImage.from_registry(
cluster_configuration["container_image"]),
container_port=cluster_configuration["container_port"]),
memory_limit_mib=cluster_configuration[
"container_mem"], # Default is 512
public_load_balancer=True) # Default is False
else:
aws_ecs_patterns.ApplicationLoadBalancedEc2Service(
self,
"ECSFargateService",
service_name=cluster_configuration['cluster_name'] + "Service",
cluster=cluster, # Required
cpu=cluster_configuration["container_cpu"], # Default is 256
desired_count=cluster_configuration["container_desired_count"],
task_image_options=aws_ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=aws_ecs.ContainerImage.from_registry(
cluster_configuration["container_image"]),
container_port=cluster_configuration["container_port"]),
memory_limit_mib=cluster_configuration[
"container_mem"], # Default is 512
public_load_balancer=True) # Default is False
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
vpc = ec2.Vpc(
self,
"MyVpc",
max_azs=3,
)
cluster = ecs.Cluster(self, 'Ec2Cluster', vpc=vpc)
fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"FargateService",
cluster=cluster,
cpu=256,
desired_count=1,
task_image_options=ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=ecs.ContainerImage.from_asset(
os.path.join(dirname, "..", "image")),
container_port=3000),
memory_limit_mib=512,
public_load_balancer=True,
listener_port=80)
fargate_service.service.connections.security_groups[
0].add_ingress_rule(peer=ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=ec2.Port.tcp(80),
description="Allow http inbound from VPC")
fargate_service.target_group.configure_health_check(path="/login")
distribution = cloudfront.Distribution(
self,
"myDist",
default_behavior={
"origin":
origins.LoadBalancerV2Origin(
fargate_service.load_balancer,
protocol_policy=cloudfront.OriginProtocolPolicy(
"HTTP_ONLY"))
})
core.CfnOutput(
self,
"LoadBalancerDNS",
value=fargate_service.load_balancer.load_balancer_dns_name)
core.CfnOutput(self,
"CloudFrontDistributionDNS",
value=distribution.domain_name)
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# Create the ECR Repository
ecr_repository = ecr.Repository(self,
"ecs-devops-sandbox-repository",
repository_name="ecs-devops-sandbox-repository")
# Create the ECS Cluster (and VPC)
vpc = ec2.Vpc(self,
"ecs-devops-sandbox-vpc",
max_azs=3)
cluster = ecs.Cluster(self,
"ecs-devops-sandbox-cluster",
cluster_name="ecs-devops-sandbox-cluster",
vpc=vpc)
# Create the ECS Task Definition with placeholder container (and named Task Execution IAM Role)
execution_role = iam.Role(self,
"ecs-devops-sandbox-execution-role",
assumed_by=iam.ServicePrincipal("ecs-tasks.amazonaws.com"),
role_name="ecs-devops-sandbox-execution-role")
execution_role.add_to_policy(iam.PolicyStatement(
effect=iam.Effect.ALLOW,
resources=["*"],
actions=[
"ecr:GetAuthorizationToken",
"ecr:BatchCheckLayerAvailability",
"ecr:GetDownloadUrlForLayer",
"ecr:BatchGetImage",
"logs:CreateLogStream",
"logs:PutLogEvents"
]
))
task_definition = ecs.FargateTaskDefinition(self,
"ecs-devops-sandbox-task-definition",
execution_role=execution_role,
family="ecs-devops-sandbox-task-definition")
container = task_definition.add_container(
"ecs-devops-sandbox",
image=ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample")
)
port_mapping = ecs.PortMapping(container_port=5000)
container.add_port_mappings(port_mapping)
# Create a load balanced ECS Service
# Athough this block works, I was not able to
load_balanced_service = ecs_patterns.ApplicationLoadBalancedFargateService(self, "ecs-devops-sandbox-service",
cluster=cluster,
task_definition=task_definition,
service_name="ecs-devops-sandbox-service")
def __init__(self, scope: core.Construct, construct_id: str, cluster, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
ecsPatterns.ApplicationLoadBalancedFargateService(self, "nginx",
cluster=cluster,
memory_limit_mib=1024,
cpu=512,
task_image_options=ecsPatterns.ApplicationLoadBalancedTaskImageOptions(
image=ecs.ContainerImage.from_registry("nginx:stable"),
)
)
def _create_service(self, cluster: ecs.Cluster):
"""
This defines and creates the services where
our web application will be deployed in.
"""
return ecs_patterns.ApplicationLoadBalancedFargateService(
self,
'Service',
vpc=cluster.ecsCluster.vpc,
task_image_options={
'image': ecs.ContainerImage.from_asset('./web')
})
def __init__(self, scope: cdk.Construct, construct_id: str,
**kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
ecsp.ApplicationLoadBalancedFargateService(
self,
"MyWebServer",
task_image_options=ecsp.ApplicationLoadBalancedTaskImageOptions(
# image=ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample")),
image=ecs.ContainerImage.from_registry(
"public.ecr.aws/f0e4c8e7/nginx-test:latest")),
public_load_balancer=True)
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
self.wordpress_lb_service = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"WordPressALBService",
cpu=512,
memory_limit_mib=1024,
listener_port=80,
task_image_options=aws_ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=aws_ecs.ContainerImage.from_registry('wordpress:latest'),
container_port=8080))
def __init__(self, scope: core.Stack, id: str, **kwargs):
super().__init__(scope, id, **kwargs)
self.base_platform = BasePlatform(self, self.stack_name)
self.fargate_task_image = aws_ecs_patterns.ApplicationLoadBalancedTaskImageOptions(
image=aws_ecs.ContainerImage.from_registry(
"adam9098/ecsdemo-frontend"),
container_port=3000,
environment={
"CRYSTAL_URL": "http://ecsdemo-crystal.service:3000/crystal",
"NODEJS_URL": "http://ecsdemo-nodejs.service:3000",
"REGION": getenv('AWS_DEFAULT_REGION')
},
)
self.fargate_load_balanced_service = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"FrontendFargateLBService",
service_name='ecsdemo-frontend',
cluster=self.base_platform.ecs_cluster,
cpu=256,
memory_limit_mib=512,
desired_count=3,
public_load_balancer=True,
cloud_map_options=self.base_platform.sd_namespace,
task_image_options=self.fargate_task_image)
self.fargate_load_balanced_service.task_definition.add_to_task_role_policy(
aws_iam.PolicyStatement(actions=['ec2:DescribeSubnets'],
resources=['*']))
self.fargate_load_balanced_service.service.connections.allow_to(
self.base_platform.services_sec_grp,
port_range=aws_ec2.Port(protocol=aws_ec2.Protocol.TCP,
string_representation="frontendtobackend",
from_port=3000,
to_port=3000))
# Enable Service Autoscaling
self.autoscale = self.fargate_load_balanced_service.service.auto_scale_task_count(
min_capacity=1, max_capacity=10)
self.autoscale.scale_on_cpu_utilization(
"CPUAutoscaling",
target_utilization_percent=50,
scale_in_cooldown=core.Duration.seconds(30),
scale_out_cooldown=core.Duration.seconds(30))
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
vpc = ec2.Vpc(self, "MyVpc", max_azs=3) # default is all AZs in region
cluster = ecs.Cluster(self, "MyCluster", vpc=vpc)
ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"MyFargateService",
cluster=cluster, # Required
cpu=512, # Default is 256
desired_count=6, # Default is 1
task_image_options=ecs_patterns.
ApplicationLoadBalancedTaskImageOptions(
image=ecs.ContainerImage.from_registry(
"amazon/amazon-ecs-sample")),
memory_limit_mib=2048, # Default is 512
public_load_balancer=False) # Default is False
def __init__(self, scope: core.Construct, construct_id: str,
**kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
#vpc
chat_app_vpc = aws_ec2.Vpc(self,
"ChatAppVpc",
max_azs=2,
nat_gateways=1)
#fargate cluster
chat_app_cluster = aws_ecs.Cluster(self, "ChatAppCluster")
#fargate task definition
chat_app_fg_def = aws_ecs.FargateTaskDefinition(
self, "ChatAppTaskDefinition")
#container definition
chat_app_container = chat_app_fg_def.add_container(
"ChatAppContainer",
image=aws_ecs.ContainerImage.from_registry(
"manuja/chat-app:latest"),
environment={"github": "https://github.com/manujakau"})
#port mapping to container
chat_app_container.add_port_mappings(
aws_ecs.PortMapping(container_port=3000,
protocol=aws_ecs.Protocol.TCP))
#attached load balancer
chat_app_alb = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"ChatAppALB",
cluster=chat_app_cluster,
task_definition=chat_app_fg_def,
assign_public_ip=False,
public_load_balancer=True,
listener_port=80,
desired_count=1,
service_name="ServerlessChatApp")
#output
chat_app_output = core.CfnOutput(
self,
"chatappoutput",
value=f"http://{chat_app_alb.load_balancer.load_balancer_dns_name}",
description="Chat app url")
def __init__(self, scope: core.Construct, id: str, custom_vpc,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
fargate_cluster = _ecs.Cluster(self,
"fargateClusterId",
vpc=custom_vpc)
core.CfnOutput(self,
"ClusterNameOutput",
value=f"{fargate_cluster.cluster_name}",
export_name="ClusterName")
"""
Service running chat service
"""
chat_app_task_def = _ecs.FargateTaskDefinition(self, "chatAppTaskDef")
chat_app_container = chat_app_task_def.add_container(
"chatAppContainer",
environment={'github': 'https://github.com/miztiik'},
image=_ecs.ContainerImage.from_registry(
"mystique/fargate-chat-app:latest"),
logging=_ecs.LogDrivers.aws_logs(stream_prefix="Mystique"))
chat_app_container.add_port_mappings(
_ecs.PortMapping(container_port=3000, protocol=_ecs.Protocol.TCP))
chat_app_service = _ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"chatAppServiceId",
cluster=fargate_cluster,
task_definition=chat_app_task_def,
assign_public_ip=False,
public_load_balancer=True,
listener_port=80,
desired_count=1,
# cpu=1024,
# memory_limit_mib=2048,
# service_name="chatAppService",
)
core.CfnOutput(
self,
"chatAppServiceUrl",
value=
f"http://{chat_app_service.load_balancer.load_balancer_dns_name}")