def __init__(self, parent, name, **kwargs):
super().__init__(parent, name, **kwargs)
vpc = ec2.Vpc(self, 'GreetingVpc', max_azs=2)
# create an ECS cluster
cluster = ecs.Cluster(self, "Cluster", vpc=vpc)
# add capacity to id
cluster.add_capacity('greeter-capacity',
instance_type=ec2.InstanceType('t2.micro'),
min_capacity=3,
max_capacity=3
)
# Name service
name_task_definition = ecs.Ec2TaskDefinition(self, "name-task-definition")
name_container = name_task_definition.add_container(
'name',
image=ecs.ContainerImage.from_registry('nathanpeck/name'),
memory_limit_mib=128
)
name_container.add_port_mappings(ecs.PortMapping(
container_port=3000
))
name_service = ecs.Ec2Service(self, "name-service",
cluster=cluster,
desired_count=2,
task_definition=name_task_definition
)
# Greeting service
greeting_task_definition = ecs.Ec2TaskDefinition(self, "greeting-task-definition")
greeting_container = greeting_task_definition.add_container(
'greeting',
image=ecs.ContainerImage.from_registry('nathanpeck/greeting'),
memory_limit_mib=128
)
greeting_container.add_port_mappings(ecs.PortMapping(
container_port=3000
))
greeting_service = ecs.Ec2Service(self, "greeting-service",
cluster=cluster,
desired_count=1,
task_definition=greeting_task_definition
)
internal_lb = elbv2.ApplicationLoadBalancer(self, "internal",
vpc=vpc,
internet_facing=False
)
# Internal load balancer for the backend services
internal_listener = internal_lb.add_listener('PublicListener',
port=80,
open=True
)
internal_listener.add_target_groups('default',
target_groups=[elbv2.ApplicationTargetGroup(
self, 'default',
vpc=vpc,
protocol=elbv2.ApplicationProtocol.HTTP,
port=80
)]
)
internal_listener.add_targets('name',
port=80,
path_pattern='/name*',
priority=1,
targets=[name_service]
)
internal_listener.add_targets('greeting',
port=80,
path_pattern='/greeting*',
priority=2,
targets=[greeting_service]
)
# Greeter service
greeter_task_definition = ecs.Ec2TaskDefinition(self, "greeter-task-definition")
greeter_container = greeter_task_definition.add_container(
'greeter',
image=ecs.ContainerImage.from_registry('nathanpeck/greeter'),
memory_limit_mib=128,
environment={
"GREETING_URL": 'http://' + internal_lb.load_balancer_dns_name + '/greeting',
"NAME_URL": 'http://' + internal_lb.load_balancer_dns_name + '/name'
}
)
greeter_container.add_port_mappings(ecs.PortMapping(
container_port=3000
))
greeter_service = ecs.Ec2Service(self, "greeter-service",
cluster=cluster,
desired_count=2,
task_definition=greeter_task_definition
)
# Internet facing load balancer fo the frontend services
external_lb = elbv2.ApplicationLoadBalancer(self, 'external',
vpc=vpc,
internet_facing=True
)
external_listener = external_lb.add_listener('PublicListener',
port=80,
open=True
)
external_listener.add_targets('greeter',
port=80,
targets=[greeter_service]
)
# output dns addresses
self.internal_dns = core.CfnOutput(self, 'InternalDNS',
export_name='greeter-app-internal',
value=internal_lb.load_balancer_dns_name
)
self.external_dns = core.CfnOutput(self, 'ExternalDNS',
export_name='ExternalDNS',
value=external_lb.load_balancer_dns_name
)
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
# Create a VPC
myvpc = ec2.Vpc(self, "CDKVPC", cidr=vars.cidr)
# SG for ELB creation
websitefrontendSG = ec2.SecurityGroup(
self,
'websitefrontendSG',
vpc=myvpc,
security_group_name='websitefrontendSG')
websitefrontendSG.add_ingress_rule(peer=ec2.Peer.ipv4('0.0.0.0/0'),
connection=ec2.Port.tcp(80))
websitefrontendSG.add_ingress_rule(peer=ec2.Peer.ipv4('0.0.0.0/0'),
connection=ec2.Port.tcp(443))
# Create ALB in VPC
alb = elb.ApplicationLoadBalancer(
self,
'websitefrontend-public',
vpc=myvpc,
load_balancer_name='websitefrontend-public',
security_group=websitefrontendSG,
internet_facing=True)
# Add target group to ALB
catalogtargetgroup = elb.ApplicationTargetGroup(
self,
'CatalogTargetGroup',
port=80,
vpc=myvpc,
target_type=elb.TargetType.IP)
if not vars.sslcert:
# Add http listener to ALB
alblistenerhttp = elb.ApplicationListener(
self,
'alblistenerhttp',
load_balancer=alb,
default_target_groups=[catalogtargetgroup],
port=80)
if vars.sslcert:
# Add http listener to ALB
alblistenerhttp = elb.ApplicationListener(self,
'alblistenerhttp',
load_balancer=alb,
port=80)
elb.ApplicationListenerRule(self,
'httpredirectionrule',
listener=alblistenerhttp,
redirect_response=elb.RedirectResponse(
status_code='HTTP_301',
port='443',
protocol='HTTPS'))
# OPTIONAL - Add https listener to ALB & attach certificate
alblistenerhttps = elb.ApplicationListener(
self,
'alblistenerhttps',
load_balancer=alb,
default_target_groups=[catalogtargetgroup],
port=443,
certificate_arns=[vars.sslcert_arn])
# OPTIONAL - Redirect HTTP to HTTPS
alblistenerhttp.add_redirect_response(id='redirectionrule',
port='443',
status_code='HTTP_301',
protocol='HTTPS')
if vars.customdomain:
# OPTIONAL - Update DNS with ALB
webshopxyz_zone = r53.HostedZone.from_hosted_zone_attributes(
self,
id='customdomain',
hosted_zone_id=vars.hosted_zone_id,
zone_name=vars.zone_name)
webshop_root_record = r53.ARecord(
self,
'ALBAliasRecord',
zone=webshopxyz_zone,
target=r53.RecordTarget.from_alias(
alias.LoadBalancerTarget(alb)))
# SG for ECS creation
ECSSG = ec2.SecurityGroup(self,
'ECSSecurityGroup',
vpc=myvpc,
security_group_name='ECS')
ECSSG.add_ingress_rule(peer=websitefrontendSG,
connection=ec2.Port.tcp(80))
# SG for MySQL creation
MySQLSG = ec2.SecurityGroup(self,
'DBSecurityGroup',
vpc=myvpc,
security_group_name='DB')
MySQLSG.add_ingress_rule(peer=ECSSG, connection=ec2.Port.tcp(3306))
# Create DB subnet group
subnetlist = []
for subnet in myvpc.private_subnets:
subnetlist.append(subnet.subnet_id)
subnetgr = rds.CfnDBSubnetGroup(
self,
'democlustersubnetgroup',
db_subnet_group_name='democlustersubnetgroup',
db_subnet_group_description='DemoCluster',
subnet_ids=subnetlist)
# Create secret db passwd
secret = sm.SecretStringGenerator(
exclude_characters="\"'@/\\",
secret_string_template='{"username": "******"}',
generate_string_key='password',
password_length=40)
dbpass = sm.Secret(self,
'democlusterpass',
secret_name='democlusterpass',
generate_secret_string=secret)
# Create Aurora serverless MySQL instance
dbcluster = rds.CfnDBCluster(
self,
'DemoCluster',
engine='aurora',
engine_mode='serverless',
engine_version='5.6',
db_cluster_identifier='DemoCluster',
master_username=dbpass.secret_value_from_json(
'username').to_string(),
master_user_password=dbpass.secret_value_from_json(
'password').to_string(),
storage_encrypted=True,
port=3306,
vpc_security_group_ids=[MySQLSG.security_group_id],
scaling_configuration=rds.CfnDBCluster.
ScalingConfigurationProperty(auto_pause=True,
max_capacity=4,
min_capacity=1,
seconds_until_auto_pause=300),
db_subnet_group_name=subnetgr.db_subnet_group_name)
dbcluster.add_override('DependsOn', 'democlustersubnetgroup')
# Attach database to secret
attach = sm.CfnSecretTargetAttachment(
self,
'RDSAttachment',
secret_id=dbpass.secret_arn,
target_id=dbcluster.ref,
target_type='AWS::RDS::DBCluster')
# Upload image into ECR repo
ecrdemoimage = ecra.DockerImageAsset(self,
'ecrdemoimage',
directory='../',
repository_name='demorepo',
exclude=['cdk.out'])
# Create ECS fargate cluster
ecscluster = ecs.Cluster(self, "ecsCluster", vpc=myvpc)
# Create task role for productsCatalogTask
getsecretpolicystatement = iam.PolicyStatement(actions=[
"secretsmanager:GetResourcePolicy",
"secretsmanager:GetSecretValue", "secretsmanager:DescribeSecret",
"secretsmanager:ListSecretVersionIds"
],
resources=[
dbpass.secret_arn
],
effect=iam.Effect.ALLOW)
getsecretpolicydocument = iam.PolicyDocument(
statements=[getsecretpolicystatement])
taskrole = iam.Role(
self,
'TaskRole',
assumed_by=iam.ServicePrincipal('ecs-tasks.amazonaws.com'),
role_name='TaskRoleforproductsCatalogTask',
inline_policies=[getsecretpolicydocument])
# Create task definition
taskdefinition = ecs.FargateTaskDefinition(self,
'productsCatalogTask',
cpu=1024,
memory_limit_mib=2048,
task_role=taskrole)
# Add container to task definition
productscatalogcontainer = taskdefinition.add_container(
'productscatalogcontainer',
image=ecs.ContainerImage.from_docker_image_asset(
asset=ecrdemoimage),
environment={
"region": vars.region,
"secretname": "democlusterpass"
})
productscatalogcontainer.add_port_mappings(
ecs.PortMapping(container_port=80, host_port=80))
# Create service and associate it with the cluster
catalogservice = ecs.FargateService(
self,
'catalogservice',
task_definition=taskdefinition,
assign_public_ip=False,
security_group=ECSSG,
vpc_subnets=ec2.SubnetSelection(subnets=myvpc.select_subnets(
subnet_type=ec2.SubnetType.PRIVATE).subnets),
cluster=ecscluster,
desired_count=2)
# Add autoscaling to the service
scaling = catalogservice.auto_scale_task_count(max_capacity=20,
min_capacity=1)
scaling.scale_on_cpu_utilization(
'ScaleOnCPU',
target_utilization_percent=70,
scale_in_cooldown=core.Duration.seconds(amount=1),
scale_out_cooldown=core.Duration.seconds(amount=0))
# Associate the fargate service with load balancer targetgroup
catalogservice.attach_to_application_target_group(catalogtargetgroup)
"west-onetest-task",
#network_mode=ecs.NetworkMode.AWS_VPC,
)
voncweb_container = task_definition.add_container(
"west-onetest-voncwebserver",
image=ecs.ContainerImage.from_registry(ecr_repo_voncweb),
cpu=100,
memory_limit_mib=256,
essential=True,
environment={
'USE': 'me',
'LAGI': 'ddd'
})
port_mapping = ecs.PortMapping(container_port=3000,
host_port=443,
protocol=ecs.Protocol.TCP)
voncweb_container.add_port_mappings(port_mapping)
dispatcher_container = task_definition.add_container(
"west-onetest-dispatcher",
image=ecs.ContainerImage.from_registry(ecr_repo_dispatcher),
cpu=100,
memory_limit_mib=256,
essential=True,
environment={
'USE': 'me',
'LAGI': 'ddd'
})
port_mapping = ecs.PortMapping(container_port=5000,
host_port=5000,
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code that defines your stack goes here
vpc = vpc = ec2.Vpc(
self, "responder-Vpc",
max_azs=1,
subnet_configuration=[
ec2.SubnetConfiguration(
name="public",
subnet_type=ec2.SubnetType.PUBLIC,
)
],
nat_gateways=0,
)
# ec2.Vpc.from_lookup(
# self, 'responder-Vpc', vpc_id="vpc-e7a36481")
role = iam.Role.from_role_arn(
self, "Role", os.getenv("ARN_URI"))
# <3>
cluster = ecs.Cluster(
self, "responder-Cluster",
vpc=vpc,
)
cluster.add_capacity("AutoScalingCapacity",
instance_type=ec2.InstanceType("t2.micro"),
desired_capacity=3
)
# <4>
taskdef = ecs.FargateTaskDefinition(
self, "responder-TaskDef",
cpu=1024, # 1 CPU
memory_limit_mib=4096, # 4GB RAM
)
ecr_repository = ecr.Repository(
self, 'responder-Repository',
repository_name='responder'
)
container = taskdef.add_container(
"responder-Container",
image=ecs.ContainerImage.from_ecr_repository(ecr_repository),
memory_limit_mib=4000,
logging=ecs.LogDrivers.aws_logs(
stream_prefix="responder",
log_retention=aws_logs.RetentionDays.ONE_DAY
),
)
container.add_port_mappings(
ecs.PortMapping(container_port=80, host_port=80)
)
fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"responder-FargateService",
cluster=cluster,
task_definition=taskdef,
listener_port=80
)
# Store parameters in SSM
ssm.StringParameter(
self, "ECS_CLUSTER_NAME",
parameter_name="ECS_CLUSTER_NAME",
string_value=cluster.cluster_name,
)
ssm.StringParameter(
self, "ECS_TASK_DEFINITION_ARN",
parameter_name="ECS_TASK_DEFINITION_ARN",
string_value=taskdef.task_definition_arn
)
ssm.StringParameter(
self, "ECS_TASK_VPC_SUBNET_1",
parameter_name="ECS_TASK_VPC_SUBNET_1",
string_value=vpc.public_subnets[0].subnet_id
)
ssm.StringParameter(
self, "CONTAINER_NAME",
parameter_name="CONTAINER_NAME",
string_value=container.container_name
)
ssm.StringParameter(
self, "ECS_CLUSTER_ROLE",
parameter_name="ECS_CLUSTER_ROLE",
string_value=role.role_name,
)
core.CfnOutput(self,
"ClusterName",
value=cluster.cluster_name)
core.CfnOutput(self,
"TaskDefinitionArn",
value=taskdef.task_definition_arn)
core.CfnOutput(
self,
"LoadBalancerDNS",
value=fargate_service.load_balancer.load_balancer_dns_name,
)
def __init__(self, scope: cdk.Construct, construct_id: str,
**kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
# The code that defines your stack goes here
vpc = _ec2.Vpc(self,
"ecs-vpc",
cidr="10.0.0.0/16",
nat_gateways=1,
max_azs=3)
clusterAdmin = _iam.Role(self,
"AdminRole",
assumed_by=_iam.AccountRootPrincipal())
cluster = _ecs.Cluster(self, "ecs-cluster", vpc=vpc)
logging = _ecs.AwsLogDriver(stream_prefix="ecs-logs")
taskRole = _iam.Role(
self,
f"ecs-taskRole-{cdk.Stack.stack_name}",
role_name=f"ecs-taskRole-{cdk.Stack.stack_name}",
assumed_by=_iam.ServicePrincipal("ecs-tasks.amazonaws.com"))
# ECS Contructs
executionRolePolicy = _iam.PolicyStatement(
effect=_iam.Effect.ALLOW,
resources=['*'],
actions=[
"ecr:GetAuthorizationToken", "ecr:BatchCheckLayerAvailability",
"ecr:GetDownloadUrlForLayer", "ecr:BatchGetImage",
"logs:CreateLogStream", "logs:PutLogEvents"
])
taskDef = _ecs.FargateTaskDefinition(self,
"ecs-taskdef",
task_role=taskRole)
taskDef.add_to_execution_role_policy(executionRolePolicy)
container = taskDef.add_container(
'flask-app',
image=_ecs.ContainerImage.from_registry(
"nikunjv/flask-image:blue"),
memory_limit_mib=256,
cpu=256,
logging=logging)
container.add_port_mappings(
_ecs.PortMapping(container_port=5000, protocol=_ecs.Protocol.TCP))
fargateService = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"ecs-service",
cluster=cluster,
task_definition=taskDef,
public_load_balancer=True,
desired_count=3,
listener_port=80)
scaling = fargateService.service.auto_scale_task_count(max_capacity=6)
scaling.scale_on_cpu_utilization(
"CpuScaling",
target_utilization_percent=10,
scale_in_cooldown=cdk.Duration.seconds(300),
scale_out_cooldown=cdk.Duration.seconds(300))
# PIPELINE CONSTRUCTS
# ECR Repo
ecrRepo = ecr.Repository(self, "EcrRepo")
gitHubSource = codebuild.Source.git_hub(
owner='samuelhailemariam',
repo='aws-ecs-fargate-cicd-cdk',
webhook=True,
webhook_filters=[
codebuild.FilterGroup.in_event_of(
codebuild.EventAction.PUSH).and_branch_is('main'),
])
# CODEBUILD - project
project = codebuild.Project(
self,
"ECSProject",
project_name=cdk.Aws.STACK_NAME,
source=gitHubSource,
environment=codebuild.BuildEnvironment(
build_image=codebuild.LinuxBuildImage.AMAZON_LINUX_2_2,
privileged=True),
environment_variables={
"CLUSTER_NAME": {
'value': cluster.cluster_name
},
"ECR_REPO_URI": {
'value': ecrRepo.repository_uri
}
},
build_spec=codebuild.BuildSpec.from_object({
'version': "0.2",
'phases': {
'pre_build': {
'commands': [
'env',
'export TAG=${CODEBUILD_RESOLVED_SOURCE_VERSION}'
]
},
'build': {
'commands': [
'cd docker-app',
'docker build -t $ECR_REPO_URI:$TAG .',
'$(aws ecr get-login --no-include-email)',
'docker push $ECR_REPO_URI:$TAG'
]
},
'post_build': {
'commands': [
'echo "In Post-Build Stage"', 'cd ..',
"printf '[{\"name\":\"flask-app\",\"imageUri\":\"%s\"}]' $ECR_REPO_URI:$TAG > imagedefinitions.json",
"pwd; ls -al; cat imagedefinitions.json"
]
}
},
'artifacts': {
'files': ['imagedefinitions.json']
}
}))
# PIPELINE ACTIONS
sourceOutput = codepipeline.Artifact()
buildOutput = codepipeline.Artifact()
sourceAction = codepipeline_actions.GitHubSourceAction(
action_name='GitHub_Source',
owner='samuelhailemariam',
repo='aws-ecs-fargate-cicd-cdk',
branch='master',
oauth_token=cdk.SecretValue.secrets_manager("/my/github/token"),
output=sourceOutput)
buildAction = codepipeline_actions.CodeBuildAction(
action_name='codeBuild',
project=project,
input=sourceOutput,
outputs=[buildOutput])
manualApprovalAction = codepipeline_actions.ManualApprovalAction(
action_name='Approve')
deployAction = codepipeline_actions.EcsDeployAction(
action_name='DeployAction',
service=fargateService.service,
image_file=codepipeline.ArtifactPath(buildOutput,
'imagedefinitions.json'))
pipeline = codepipeline.Pipeline(self, "ECSPipeline")
source_stage = pipeline.add_stage(stage_name="Source",
actions=[sourceAction])
build_stage = pipeline.add_stage(stage_name="Build",
actions=[buildAction])
approve_stage = pipeline.add_stage(stage_name="Approve",
actions=[manualApprovalAction])
deploy_stage = pipeline.add_stage(stage_name="Deploy-to-ECS",
actions=[deployAction])
ecrRepo.grant_pull_push(project.role)
project.add_to_role_policy(
_iam.PolicyStatement(resources=['cluster.cluster_arn'],
actions=[
"ecs:DescribeCluster",
"ecr:GetAuthorizationToken",
"ecr:BatchCheckLayerAvailability",
"ecr:BatchGetImage",
"ecr:GetDownloadUrlForLayer"
]))
# OUTPUT
cdk.CfnOutput(
self,
"LoadBlancer-DNS",
value=fargateService.load_balancer.load_balancer_dns_name)
def __init__(self, scope: core.Construct, construct_id: str,
properties: WordpressStackProperties, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
database = rds.ServerlessCluster(
self,
"WordpressServerless",
engine=rds.DatabaseClusterEngine.AURORA_MYSQL,
default_database_name="WordpressDatabase",
vpc=properties.vpc,
scaling=rds.ServerlessScalingOptions(
auto_pause=core.Duration.seconds(0)),
deletion_protection=False,
backup_retention=core.Duration.days(7),
removal_policy=core.RemovalPolicy.DESTROY,
)
file_system = efs.FileSystem(
self,
"WebRoot",
vpc=properties.vpc,
performance_mode=efs.PerformanceMode.GENERAL_PURPOSE,
throughput_mode=efs.ThroughputMode.BURSTING,
)
# docker context directory
docker_context_path = os.path.dirname(__file__) + "../../src"
# upload images to ecr
nginx_image = ecr_assets.DockerImageAsset(
self,
"Nginx",
directory=docker_context_path,
file="Docker.nginx",
)
wordpress_image = ecr_assets.DockerImageAsset(
self,
"Php",
directory=docker_context_path,
file="Docker.wordpress",
)
cluster = ecs.Cluster(self,
'ComputeResourceProvider',
vpc=properties.vpc)
wordpress_volume = ecs.Volume(
name="WebRoot",
efs_volume_configuration=ecs.EfsVolumeConfiguration(
file_system_id=file_system.file_system_id))
event_task = ecs.FargateTaskDefinition(self,
"WordpressTask",
volumes=[wordpress_volume])
#
# webserver
#
nginx_container = event_task.add_container(
"Nginx",
image=ecs.ContainerImage.from_docker_image_asset(nginx_image))
nginx_container.add_port_mappings(ecs.PortMapping(container_port=80))
nginx_container_volume_mount_point = ecs.MountPoint(
read_only=True,
container_path="/var/www/html",
source_volume=wordpress_volume.name)
nginx_container.add_mount_points(nginx_container_volume_mount_point)
#
# application server
#
app_container = event_task.add_container(
"Php",
environment={
'WORDPRESS_DB_HOST': database.cluster_endpoint.hostname,
'WORDPRESS_TABLE_PREFIX': 'wp_'
},
secrets={
'WORDPRESS_DB_USER':
ecs.Secret.from_secrets_manager(database.secret,
field="username"),
'WORDPRESS_DB_PASSWORD':
ecs.Secret.from_secrets_manager(database.secret,
field="password"),
'WORDPRESS_DB_NAME':
ecs.Secret.from_secrets_manager(database.secret,
field="dbname"),
},
image=ecs.ContainerImage.from_docker_image_asset(wordpress_image))
app_container.add_port_mappings(ecs.PortMapping(container_port=9000))
container_volume_mount_point = ecs.MountPoint(
read_only=False,
container_path="/var/www/html",
source_volume=wordpress_volume.name)
app_container.add_mount_points(container_volume_mount_point)
#
# create service
#
wordpress_service = ecs.FargateService(
self,
"InternalService",
task_definition=event_task,
platform_version=ecs.FargatePlatformVersion.VERSION1_4,
cluster=cluster,
)
#
# scaling
#
scaling = wordpress_service.auto_scale_task_count(min_capacity=2,
max_capacity=50)
scaling.scale_on_cpu_utilization(
"CpuScaling",
target_utilization_percent=85,
scale_in_cooldown=core.Duration.seconds(120),
scale_out_cooldown=core.Duration.seconds(30),
)
#
# network acl
#
database.connections.allow_default_port_from(wordpress_service,
"wordpress access to db")
file_system.connections.allow_default_port_from(wordpress_service)
#
# external access
#
wordpress_service.connections.allow_from(
other=properties.load_balancer, port_range=ec2.Port.tcp(80))
http_listener = properties.load_balancer.add_listener(
"HttpListener",
port=80,
)
http_listener.add_targets(
"HttpServiceTarget",
protocol=elbv2.ApplicationProtocol.HTTP,
targets=[wordpress_service],
health_check=elbv2.HealthCheck(healthy_http_codes="200,301,302"))
def __init__(self, scope: cdk.Construct, id: str, vpc: ec2.Vpc,
s3_bucket_name: str, certificate: acm.Certificate,
consoleme_alb: lb.ApplicationLoadBalancer,
consoleme_sg: ec2.SecurityGroup, task_role_arn: str,
task_execution_role_arn: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# ECS Task definition and volumes
if USE_PUBLIC_DOCKER_IMAGE is True:
docker_image = ecs.ContainerImage.from_registry(DOCKER_IMAGE)
else:
docker_image = ecs.ContainerImage.from_docker_image_asset(
ecr_assets.DockerImageAsset(self,
"ConsoleMeCustomImage",
directory="../"))
imported_task_role = iam.Role.from_role_arn(self,
"ImportedTaskRole",
role_arn=task_role_arn)
imported_task_execution_role = iam.Role.from_role_arn(
self,
"ImportedTaskExecutionRole",
role_arn=task_execution_role_arn)
consoleme_ecs_task_definition = ecs.FargateTaskDefinition(
self,
"ConsoleMeTaskDefinition",
cpu=2048,
memory_limit_mib=4096,
execution_role=imported_task_execution_role,
task_role=imported_task_role,
)
# ECS Container definition, service, target group and ALB attachment
consoleme_ecs_task_definition.add_container(
"Container",
image=docker_image,
privileged=False,
port_mappings=[
ecs.PortMapping(container_port=8081,
host_port=8081,
protocol=ecs.Protocol.TCP)
],
logging=ecs.LogDriver.aws_logs(
stream_prefix="ContainerLogs-",
log_retention=logs.RetentionDays.ONE_WEEK,
),
environment={
"SETUPTOOLS_USE_DISTUTILS": "stdlib",
"CONSOLEME_CONFIG_S3":
"s3://" + s3_bucket_name + "/config.yaml",
"EC2_REGION": self.region,
},
working_directory="/apps/consoleme",
command=[
"bash",
"-c",
"python scripts/retrieve_or_decode_configuration.py; python consoleme/__main__.py",
],
)
consoleme_ecs_task_definition.add_container(
"CeleryContainer",
image=docker_image,
privileged=False,
logging=ecs.LogDriver.aws_logs(
stream_prefix="CeleryContainerLogs-",
log_retention=logs.RetentionDays.ONE_WEEK,
),
environment={
"SETUPTOOLS_USE_DISTUTILS": "stdlib",
"CONSOLEME_CONFIG_S3":
"s3://" + s3_bucket_name + "/config.yaml",
"COLUMNS": "80",
"EC2_REGION": self.region,
},
command=[
"bash",
"-c",
"python scripts/retrieve_or_decode_configuration.py; python scripts/initialize_redis_oss.py; celery -A consoleme.celery_tasks.celery_tasks worker -l DEBUG -B -E --concurrency=8",
],
)
# ECS cluster
cluster = ecs.Cluster(self, "Cluster", vpc=vpc)
consoleme_imported_alb = (
lb.ApplicationLoadBalancer.
from_application_load_balancer_attributes(
self,
"ConsoleMeImportedALB",
load_balancer_arn=consoleme_alb.load_balancer_arn,
vpc=vpc,
security_group_id=consoleme_sg.security_group_id,
load_balancer_dns_name=consoleme_alb.load_balancer_dns_name,
))
consoleme_ecs_service = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"Service",
cluster=cluster,
task_definition=consoleme_ecs_task_definition,
load_balancer=consoleme_imported_alb,
security_groups=[consoleme_sg],
open_listener=False,
)
consoleme_ecs_service.target_group.configure_health_check(
path="/", enabled=True, healthy_http_codes="200-302")
consoleme_ecs_service_scaling_target = applicationautoscaling.ScalableTarget(
self,
"AutoScalingGroup",
max_capacity=MAX_CAPACITY,
min_capacity=MIN_CAPACITY,
resource_id="service/" + cluster.cluster_name + "/" +
consoleme_ecs_service.service.service_name,
scalable_dimension="ecs:service:DesiredCount",
service_namespace=applicationautoscaling.ServiceNamespace.ECS,
role=iam.Role(
self,
"AutoScaleRole",
assumed_by=iam.ServicePrincipal(
service="ecs-tasks.amazonaws.com"),
description="Role for ECS auto scaling group",
managed_policies=[
iam.ManagedPolicy.from_managed_policy_arn(
self,
"AutoScalingManagedPolicy",
managed_policy_arn=
"arn:aws:iam::aws:policy/service-role/AmazonEC2ContainerServiceAutoscaleRole",
)
],
),
)
applicationautoscaling.TargetTrackingScalingPolicy(
self,
"AutoScalingPolicy",
scaling_target=consoleme_ecs_service_scaling_target,
scale_in_cooldown=cdk.Duration.seconds(amount=10),
scale_out_cooldown=cdk.Duration.seconds(amount=10),
target_value=50,
predefined_metric=applicationautoscaling.PredefinedMetric.
ECS_SERVICE_AVERAGE_CPU_UTILIZATION,
)
consoleme_imported_alb.add_listener(
"ConsoleMeALBListener",
protocol=lb.ApplicationProtocol.HTTPS,
port=443,
certificates=[certificate],
default_action=lb.ListenerAction.forward(
target_groups=[consoleme_ecs_service.target_group]),
)
def __create_nlb_service(self, service_name: str, ctx: object):
ctx_srv = getattr(ctx.inbound.services.nlb, service_name)
ecs_task_role = self.__create_default_task_role(service_name)
log_driver = ecs.LogDriver.aws_logs(log_group=self.log_group,
stream_prefix=service_name)
# create a Fargate task definition
task_definition = ecs.FargateTaskDefinition(
scope=self,
id=f"{service_name}_task_definition",
cpu=ctx_srv.size.cpu,
memory_limit_mib=ctx_srv.size.ram,
execution_role=self.ecs_exec_role,
task_role=ecs_task_role,
)
# create a container definition and associate with the Fargate task
container_vars = self.__get_container_vars(service_name, ctx, ctx_srv)
container = ecs.ContainerDefinition(
scope=self,
id=f"{service_name}_container_definition",
task_definition=task_definition,
image=ecs.ContainerImage.from_ecr_repository(
self.ecr_repository, "latest"),
logging=log_driver,
**container_vars)
security_group = ec2.SecurityGroup(scope=self,
id=f"{service_name}_sg",
vpc=self.vpc)
service = ecs.FargateService(
scope=self,
id=f"{service_name}_service",
task_definition=task_definition,
cluster=self.cluster,
desired_count=getattr(ctx_srv, "desired_count",
ctx.default_desired_count),
service_name=service_name,
security_group=security_group,
health_check_grace_period=core.Duration.minutes(10))
# map ports on the container
for port in ctx_srv.ports:
container.add_port_mappings(
ecs.PortMapping(container_port=port,
host_port=port,
protocol=ecs.Protocol.TCP))
# add a listener to network load balancer
listener = self.load_balancer.add_listener(
id=f"{service_name}_{port}", port=port)
security_group.add_ingress_rule(
ec2.Peer.ipv4(ctx.ingress_cidr), ec2.Port.tcp(port),
f"Logstash ingress for {service_name}")
target = (service).load_balancer_target(
container_name=container.container_name, container_port=port)
listener.add_targets(id=f"{service_name}_{port}_tg",
port=port,
targets=[target])
scaling = service.auto_scale_task_count(
max_capacity=ctx_srv.scaling.max_capacity,
min_capacity=ctx_srv.scaling.min_capacity)
scaling.scale_on_cpu_utilization(
id="cpu_scaling",
target_utilization_percent=ctx_srv.scaling.
target_utilization_percent,
scale_in_cooldown=core.Duration.seconds(
ctx_srv.scaling.scale_in_cooldown_seconds),
scale_out_cooldown=core.Duration.seconds(
ctx_srv.scaling.scale_out_cooldown_seconds))
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
vpc = ec2.Vpc(
self, "MyVpc",
max_azs=2
)
cluster = ecs.Cluster(
self, "EC2Cluster",
vpc=vpc
)
security_group = ec2.SecurityGroup(
self, "SecurityGroup",
vpc=vpc,
allow_all_outbound=True,
)
security_group.add_ingress_rule(
peer=ec2.Peer.any_ipv4(),
connection=ec2.Port.all_tcp(),
description="Allow all traffic"
)
app_target_group = elbv2.ApplicationTargetGroup(
self, "AppTargetGroup",
port=http_port,
vpc=vpc,
target_type=elbv2.TargetType.IP,
)
elastic_loadbalancer = elbv2.ApplicationLoadBalancer(
self, "ALB",
vpc=vpc,
internet_facing=True,
security_group=security_group,
)
app_listener = elbv2.ApplicationListener(
self, "AppListener",
load_balancer=elastic_loadbalancer,
port=http_port,
default_target_groups=[app_target_group],
)
task_definition = ecs.TaskDefinition(
self, "TaskDefenition",
compatibility=ecs.Compatibility.FARGATE,
cpu=task_def_cpu,
memory_mib=task_def_memory_mb,
)
container_defenition = ecs.ContainerDefinition(
self, "ContainerDefenition",
image=ecs.ContainerImage.from_registry("vulnerables/web-dvwa"),
task_definition=task_definition,
logging=ecs.AwsLogDriver(
stream_prefix="DemoContainerLogs",
log_retention=logs.RetentionDays.ONE_DAY,
),
)
container_defenition.add_port_mappings(
ecs.PortMapping(
container_port=http_port,
)
)
fargate_service = ecs.FargateService(
self, "FargateService",
task_definition=task_definition,
cluster=cluster,
security_group=security_group,
)
fargate_service.attach_to_application_target_group(
target_group=app_target_group,
)
core.CfnOutput(
self, "LoadBalancerDNS",
value=elastic_loadbalancer.load_balancer_dns_name
)
def __init__(self, scope: core.Construct, id: str, config: ContainerPipelineConfiguration, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# VPC
vpc = ec2.Vpc(self, "TheVPC",
cidr="10.0.0.0/16",
nat_gateways=1,
)
# IAM roles
service_task_def_exe_role = iam.Role(
self, "ServiceTaskDefExecutionRole",
assumed_by=iam.ServicePrincipal('ecs-tasks.amazonaws.com')
)
service_task_def_exe_role.add_managed_policy(
iam.ManagedPolicy.from_aws_managed_policy_name('service-role/AmazonECSTaskExecutionRolePolicy'))
service_task_def_role = iam.Role(
self, 'ServiceTaskDefTaskRole',
assumed_by=iam.ServicePrincipal('ecs-tasks.amazonaws.com')
)
# Fargate cluster
cluster = ecs.Cluster(
scope=self,
id="ecs-cluster",
cluster_name=config.ProjectName + "-" + config.stage,
vpc=vpc
)
load_balancer = elbv2.ApplicationLoadBalancer(
self, "load_balancer",
vpc=vpc,
internet_facing=True
)
# Security Group
service_sg = ec2.SecurityGroup(self, "service_sg", vpc=vpc)
service_sg.connections.allow_from(load_balancer, ec2.Port.tcp(80));
# ECR Repo
image_repo = ecr.Repository.from_repository_name(self, "image_repo",
repository_name=config.ProjectName
)
log_group = logs.LogGroup(self, "log_group",
log_group_name=config.ProjectName + "-" + config.stage,
removal_policy=core.RemovalPolicy.DESTROY,
retention=None
)
# ECS Task Def
fargate_task_definition = ecs.FargateTaskDefinition(
scope=self,
id="fargate_task_definition",
cpu=1024,
memory_limit_mib=2048,
execution_role=service_task_def_exe_role,
task_role=service_task_def_role,
family=config.ProjectName + "-" + config.stage
)
container = fargate_task_definition.add_container(
id="fargate_task_container",
image=ecs.ContainerImage.from_ecr_repository(repository=image_repo, tag='release')
)
container.add_port_mappings(ecs.PortMapping(container_port=8080, host_port=8080, protocol=ecs.Protocol.TCP))
# ECS Fargate Service
fargate_service = ecs.FargateService(
scope=self,
id="fargate_service",
security_group=service_sg,
cluster=cluster,
desired_count=2,
deployment_controller=ecs.DeploymentController(type=ecs.DeploymentControllerType.ECS),
task_definition=fargate_task_definition,
service_name=config.ProjectName + "-" + config.stage
)
# Main Env
listern_health_check_main = elbv2.HealthCheck(
healthy_http_codes='200',
interval=core.Duration.seconds(5),
healthy_threshold_count=2,
unhealthy_threshold_count=3,
timeout=core.Duration.seconds(4)
)
# Test Env
listern_health_check_test = elbv2.HealthCheck(
healthy_http_codes='200',
interval=core.Duration.seconds(5),
healthy_threshold_count=2,
unhealthy_threshold_count=3,
timeout=core.Duration.seconds(4)
)
listener_main = load_balancer.add_listener("load_balancer_listener_1",
port=80,
)
listern_main_targets = listener_main.add_targets("load_balancer_target_1", port=8080,
health_check=listern_health_check_main,
targets=[fargate_service]
)
# Alarms: monitor 500s on target group
aws_cloudwatch.Alarm(self, "TargetGroup5xx",
metric=listern_main_targets.metric_http_code_target(elbv2.HttpCodeTarget.TARGET_5XX_COUNT),
threshold=1,
evaluation_periods=1,
period=core.Duration.minutes(1)
)
# Alarms: monitor unhealthy hosts on target group
aws_cloudwatch.Alarm(self, "TargetGroupUnhealthyHosts",
metric=listern_main_targets.metric('UnHealthyHostCount'),
threshold=1,
evaluation_periods=1,
period=core.Duration.minutes(1)
)
core.CfnOutput(self, "lburl",
value=load_balancer.load_balancer_dns_name,
export_name="LoadBalancerUrl"
)
def __create_cloudmap_service(self, service_name: str, ctx: object):
ctx_srv = getattr(ctx.inbound.services.cloudmap, service_name)
ecs_task_role = self.__create_default_task_role(service_name)
log_driver = ecs.LogDriver.aws_logs(log_group=self.log_group,
stream_prefix=service_name)
# create a Fargate task definition
task_definition = ecs.FargateTaskDefinition(
scope=self,
id=f"{service_name}_task_definition",
cpu=ctx_srv.size.cpu,
memory_limit_mib=ctx_srv.size.ram,
execution_role=self.ecs_exec_role,
task_role=ecs_task_role,
)
# create a container definition and associate with the Fargate task
container_vars = self.__get_container_vars(service_name, ctx, ctx_srv)
container = ecs.ContainerDefinition(
scope=self,
id=f"{service_name}_container_definition",
task_definition=task_definition,
image=ecs.ContainerImage.from_ecr_repository(
self.ecr_repository, "latest"),
logging=log_driver,
**container_vars)
security_group = ec2.SecurityGroup(scope=self,
id=f"{service_name}_sg",
vpc=self.vpc)
service = ecs.FargateService(scope=self,
id=f"{service_name}_service",
task_definition=task_definition,
cluster=self.cluster,
desired_count=getattr(
ctx_srv, "desired_count",
ctx.default_desired_count),
service_name=service_name,
security_group=security_group)
for port in ctx_srv.ports:
container.add_port_mappings(
ecs.PortMapping(container_port=port,
host_port=port,
protocol=ecs.Protocol.TCP))
security_group.add_ingress_rule(
ec2.Peer.ipv4(ctx.ingress_cidr), ec2.Port.tcp(port),
f"Logstash ingress for {service_name}")
for port in ctx_srv.udp_ports:
container.add_port_mappings(
ecs.PortMapping(container_port=port,
host_port=port,
protocol=ecs.Protocol.UDP))
security_group.add_ingress_rule(
ec2.Peer.ipv4(ctx.ingress_cidr), ec2.Port.udp(port),
f"Logstash ingress for {service_name}")
scaling = service.auto_scale_task_count(
max_capacity=ctx_srv.scaling.max_capacity,
min_capacity=ctx_srv.scaling.min_capacity)
scaling.scale_on_cpu_utilization(
id="cpu_scaling",
target_utilization_percent=ctx_srv.scaling.
target_utilization_percent,
scale_in_cooldown=core.Duration.seconds(
ctx_srv.scaling.scale_in_cooldown_seconds),
scale_out_cooldown=core.Duration.seconds(
ctx_srv.scaling.scale_out_cooldown_seconds))
cloudmap = awssd.PublicDnsNamespace.from_public_dns_namespace_attributes(
scope=self,
id=f"cloudmap_namespace",
**ctx.inbound.namespace_props.dict())
service.enable_cloud_map(cloud_map_namespace=cloudmap,
dns_record_type=awssd.DnsRecordType("A"),
dns_ttl=core.Duration.seconds(15))
def __init__(self, scope: core.Construct, construct_id: str,
**kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
dockerImageAsset = DockerImageAsset(
self,
f"{APPLICATION_NAME}",
directory="../",
file="Dockerfile",
exclude=["cdk/node_modules", ".git", "cdk/cdk.out"],
)
vpc = ec2.Vpc(self, f"{APPLICATION_NAME}VPC", max_azs=3)
cluster = ecs.Cluster(self, f"{APPLICATION_NAME}Cluster", vpc=vpc)
app_task = ecs.FargateTaskDefinition(
self,
f"{APPLICATION_NAME}-task",
family=f"{APPLICATION_NAME}-family",
cpu=512,
memory_limit_mib=2048,
)
dd_api_key = ssm.StringParameter.value_for_string_parameter(
self, "/datadog/snyk_demo/dd_api_key", 1)
DATADOG_AGENT_VARS["DD_API_KEY"] = dd_api_key
java_service_container = app_task.add_container(
f"{APPLICATION_NAME}-java-app",
image=ecs.ContainerImage.from_docker_image_asset(dockerImageAsset),
essential=True,
docker_labels={
"com.datadoghq.ad.instances":
'[{"host": "%%host%%", "port": 6379}]',
"com.datadoghq.ad.check_names": '["tomcat"]',
"com.datadoghq.ad.init_configs": "[{}]",
},
environment=APP_ENV_VARS,
logging=ecs.LogDrivers.firelens(
options={
"Name": "datadog",
"Host": "http-intake.logs.datadoghq.com",
"TLS": "on",
"apikey": dd_api_key,
"dd_service": DD_SERVICE,
"dd_source": "tomcat",
"dd_tags": DD_TAGS,
"provider": "ecs",
}),
)
datadog_agent_container = app_task.add_container(
f"{APPLICATION_NAME}-datadog-agent",
image=ecs.ContainerImage.from_registry(
name="datadog/agent:latest"),
essential=True,
environment=DATADOG_AGENT_VARS,
)
# Port exposure for the containerized app
java_service_container.add_port_mappings(
ecs.PortMapping(container_port=8080, host_port=8080))
# Mandatory port exposure for the Datadog agent
datadog_agent_container.add_port_mappings(
ecs.PortMapping(container_port=8126, host_port=8126))
app_task_service = ecs_patterns.NetworkLoadBalancedFargateService(
self,
id=f"{APPLICATION_NAME}-service",
service_name=f"{APPLICATION_NAME}",
cluster=cluster, # Required
cpu=512, # Default is 256
desired_count=1, # Default is 1
task_definition=app_task,
memory_limit_mib=2048, # Default is 512
listener_port=80,
public_load_balancer=True,
health_check_grace_period=core.Duration.seconds(120),
)
# Security Group to allow load balancer to communicate with ECS Containers.
app_task_service.service.connections.allow_from_any_ipv4(
ec2.Port.tcp(8080), f"{APPLICATION_NAME} app inbound")
def __init__(self, scope: core.App, id: str, props, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
subnets = []
subnets.append(
aws_ec2.SubnetConfiguration(name="DeviceSubnet",
subnet_type=aws_ec2.SubnetType.PUBLIC,
cidr_mask=24))
vpc = aws_ec2.Vpc(self,
"DeviceVpc",
max_azs=2,
subnet_configuration=subnets)
# Iterate the private subnets
selection = vpc.select_subnets(subnet_type=aws_ec2.SubnetType.PUBLIC)
sg = aws_ec2.SecurityGroup(
self,
id="FarGateSecGroup",
vpc=vpc,
allow_all_outbound=True,
description="Allow access to virtual device",
security_group_name="Virtual Device Security Group")
sg.add_ingress_rule(peer=aws_ec2.Peer.any_ipv4(),
connection=aws_ec2.Port.tcp(80))
rnd_suffix = create_random_name(4).lower()
# pipeline requires versioned bucket
bucket = aws_s3.Bucket(self,
"SourceBucket",
bucket_name="{}-{}-{}".format(
props['namespace'].lower(),
core.Aws.ACCOUNT_ID, core.Aws.REGION),
versioned=True,
removal_policy=core.RemovalPolicy.DESTROY)
# ssm parameter to get bucket name later
bucket_param = aws_ssm.StringParameter(
self,
"ParameterBucketName",
parameter_name=f"{props['namespace']}-bucket",
string_value=bucket.bucket_name,
description='IoT playground pipeline bucket')
# ecr repo to push docker container into
ecr = aws_ecr.Repository(self,
"ECR",
repository_name=f"{props['namespace']}",
removal_policy=core.RemovalPolicy.DESTROY)
# codebuild project meant to run in pipeline
cb_docker_build = aws_codebuild.PipelineProject(
self,
"DockerBuild",
project_name=f"{props['namespace']}-Docker-Build",
build_spec=aws_codebuild.BuildSpec.from_source_filename(
filename='docker/docker_build_buildspec.yml'),
environment=aws_codebuild.BuildEnvironment(privileged=True, ),
# pass the ecr repo uri into the codebuild project so codebuild knows where to push
environment_variables={
'ecr':
aws_codebuild.BuildEnvironmentVariable(
value=ecr.repository_uri),
'tag':
aws_codebuild.BuildEnvironmentVariable(value='virtual_device')
},
description='Pipeline for CodeBuild',
timeout=core.Duration.minutes(10),
)
# codebuild iam permissions to read write s3
bucket.grant_read_write(cb_docker_build)
# codebuild permissions to interact with ecr
ecr.grant_pull_push(cb_docker_build)
ecs_cluster = aws_ecs.Cluster(self, 'DeviceCluster', vpc=vpc)
fargate_task_def = aws_ecs.FargateTaskDefinition(
self,
'DeviceTaskDef',
cpu=512,
memory_limit_mib=1024
#network_mode=aws_ecs.NetworkMode.AWS_VPC,
)
# fargate_task_def.add_to_task_role_policy(aws_iam.PolicyStatement(
# effect=aws_iam.Effect.ALLOW,
# actions=[
# "s3:PutObject"],
# resources=["*"]
# ))
fargate_task_def.add_to_execution_role_policy(
aws_iam.PolicyStatement(effect=aws_iam.Effect.ALLOW,
actions=[
"ecr:GetAuthorizationToken",
"ecr:BatchCheckLayerAvailability",
"ecr:GetDownloadUrlForLayer",
"ecr:BatchGetImage",
"logs:CreateLogStream",
"logs:PutLogEvents"
],
resources=["*"]))
container_image = aws_ecs.EcrImage(repository=ecr,
tag="virtual_device")
logging = aws_ecs.AwsLogDriver(stream_prefix="virtual_device")
container = fargate_task_def.add_container("DeviceContainer",
image=container_image,
cpu=512,
memory_limit_mib=1024,
logging=logging,
essential=True)
port_mapping = aws_ecs.PortMapping(container_port=80,
host_port=80,
protocol=aws_ecs.Protocol.TCP)
container.add_port_mappings(port_mapping)
# The code that defines your stack goes here
table = aws_dynamodb.Table(self,
"DeviceFactoryCatalog",
partition_key=aws_dynamodb.Attribute(
name="id",
type=aws_dynamodb.AttributeType.STRING),
read_capacity=3,
write_capacity=3)
function = aws_lambda.Function(
self,
"DeviceFactoryLambda",
runtime=aws_lambda.Runtime.PYTHON_3_7,
handler="lambda_function.lambda_handler",
code=aws_lambda.Code.asset("../lambdas/device_factory_lambda"),
timeout=Duration.minutes(1))
function.add_environment("BUCKET_NAME", bucket.bucket_name)
function.add_environment("ECS_CLUSTER", ecs_cluster.cluster_name)
function.add_environment("ECS_TASK_DEF",
fargate_task_def.task_definition_arn)
function.add_environment("DDB_TABLE_DEVICE_CATALOG", table.table_name)
function.add_environment("SUBNET_1", selection.subnets[0].subnet_id)
function.add_environment("SUBNET_2", selection.subnets[1].subnet_id)
function.add_environment("SEC_GROUP", sg.security_group_id)
table.grant_read_write_data(function)
function.add_to_role_policy(
aws_iam.PolicyStatement(effect=aws_iam.Effect.ALLOW,
actions=["iot:*"],
resources=["*"]))
function.add_to_role_policy(
aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=["s3:PutObject", "s3:GetObject"],
resources=["{}/*".format(bucket.bucket_arn)]))
function.add_to_role_policy(
aws_iam.PolicyStatement(effect=aws_iam.Effect.ALLOW,
actions=["iam:PassRole"],
resources=["arn:aws:iam::*:role/*"]))
function.add_to_role_policy(
aws_iam.PolicyStatement(effect=aws_iam.Effect.ALLOW,
actions=["ecs:RunTask", "ecs:StopTask"],
resources=["*"]))
api_gtw = aws_apigateway.LambdaRestApi(
self,
id="DeviceFactoryApi",
rest_api_name="DeviceFactoryApi",
handler=function)
# ssm parameter to get api endpoint later
bucket_param = aws_ssm.StringParameter(
self,
"ParameterDeviceFactoryEndpoint",
parameter_name=f"{props['namespace']}-devicefactoryendpoint",
string_value=api_gtw.url,
description='IoT playground device factory endpoint')
# ssm parameter to get api endpoint later
bucket_param = aws_ssm.StringParameter(
self,
"ParameterEcrUri",
parameter_name=f"{props['namespace']}-ecruri",
string_value=ecr.repository_uri,
description='IoT playground ECR URI')
# ssm parameter to get cluster name
bucket_param = aws_ssm.StringParameter(
self,
"ParameterClusterName",
parameter_name=f"{props['namespace']}-clustername",
string_value=ecs_cluster.cluster_name,
description='IoT playground Cluster Name')
core.CfnOutput(
self,
"EcrUri",
description="ECR URI",
value=ecr.repository_uri,
)
core.CfnOutput(self,
"S3Bucket",
description="S3 Bucket",
value=bucket.bucket_name)
core.CfnOutput(self,
"DeviceFactoryEndpoint",
description="Device Factory Endpoint",
value=api_gtw.url)
self.output_props = props.copy()
self.output_props['bucket'] = bucket
self.output_props['cb_docker_build'] = cb_docker_build
def setup_monitoring(self):
vpc = self.vpc
sg = self.sg
nlb = self.nlb
with open("./user_data/prometheus.yml") as f:
prometheus_config = f.read()
sg.add_ingress_rule(ec2.Peer.any_ipv4(), ec2.Port.tcp(9090), 'prometheus')
sg.add_ingress_rule(ec2.Peer.any_ipv4(), ec2.Port.tcp(9100), 'prometheus node exporter')
sg.add_ingress_rule(ec2.Peer.any_ipv4(), ec2.Port.tcp(9091), 'prometheus pushgateway')
sg.add_ingress_rule(ec2.Peer.any_ipv4(), ec2.Port.tcp(3000), 'grafana')
cluster = ecs.Cluster(self, "Monitoring", vpc=vpc)
task = ecs.FargateTaskDefinition(self,
id = 'MonitorTask',
cpu = 512,
memory_limit_mib = 2048
#volumes = [ecs.Volume(name = cfgVolName)]
)
task.add_volume(name = 'prom_config')
c_config = task.add_container('config-prometheus',
image=ecs.ContainerImage.from_registry('bash'),
essential=False,
logging = ecs.LogDriver.aws_logs(stream_prefix="mon_config_prometheus",
log_retention = aws_logs.RetentionDays.ONE_DAY
),
command = [ "-c",
"echo $DATA | base64 -d - | tee /tmp/private/prometheus.yml"
],
environment = {'DATA' : cdk.Fn.base64(prometheus_config)}
)
c_config.add_mount_points(ecs.MountPoint(read_only = False, container_path='/tmp/private', source_volume='prom_config'))
c_prometheus = task.add_container('prometheus',
essential=False,
image=ecs.ContainerImage.from_registry('prom/prometheus'),
port_mappings = [ecs.PortMapping(container_port=9090)],
command = [
"--config.file=/etc/prometheus/private/prometheus.yml",
"--storage.tsdb.path=/prometheus",
"--web.console.libraries=/usr/share/prometheus/console_libraries",
"--web.console.templates=/usr/share/prometheus/consoles"
],
logging = ecs.LogDriver.aws_logs(stream_prefix="mon_prometheus",
log_retention = aws_logs.RetentionDays.ONE_DAY
),
)
c_prometheus.add_mount_points(ecs.MountPoint(read_only = False, container_path='/etc/prometheus/private', source_volume='prom_config'))
c_prometheus.add_container_dependencies(ecs.ContainerDependency(container=c_config, condition=ecs.ContainerDependencyCondition.COMPLETE))
c_pushgateway = task.add_container('pushgateway',
essential=False,
image=ecs.ContainerImage.from_registry('prom/pushgateway'),
port_mappings = [ecs.PortMapping(container_port=9091)]
)
c_grafana = task.add_container('grafana',
essential=True,
image=ecs.ContainerImage.from_registry('grafana/grafana'),
port_mappings = [ecs.PortMapping(container_port=3000)]
)
service = ecs.FargateService(self, "EMQXMonitoring",
security_group = self.sg,
cluster = cluster,
task_definition = task,
desired_count = 1,
assign_public_ip = True
)
listenerGrafana = nlb.add_listener('grafana', port = 3000);
listenerPrometheus = nlb.add_listener('prometheus', port = 9090);
listenerPushGateway = nlb.add_listener('pushgateway', port = 9091);
listenerGrafana.add_targets(id = 'grafana', port=3000, targets = [service.load_balancer_target(
container_name="grafana",
container_port=3000
)])
listenerPrometheus.add_targets(id = 'prometheus', port=9090, targets=[service.load_balancer_target(
container_name="prometheus",
container_port=9090
)])
listenerPushGateway.add_targets(id = 'pushgateway', port=9091, targets=[service.load_balancer_target(
container_name="pushgateway",
container_port=9091
)]) ,
self.mon_lb = loadbalancer_dnsname
core.CfnOutput(self, "Monitoring Grafana",
value = "%s:%d" % (self.mon_lb, 3000))
core.CfnOutput(self, "Monitoring Prometheus",
value = "%s:%d" % (self.mon_lb, 9090))
def __init__(self, scope: core.Stack, id: str, cluster, vpc, worker,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
self.cluster = cluster
self.vpc = vpc
self.worker = worker
# Building a custom image for jenkins master.
self.container_image = ecr.DockerImageAsset(
self, "JenkinsMasterDockerImage", directory='./docker/master/')
if config['DEFAULT']['fargate_enabled'] == "yes" or not config[
'DEFAULT']['ec2_enabled'] == "yes":
# Task definition details to define the Jenkins master container
self.jenkins_task = ecs_patterns.ApplicationLoadBalancedTaskImageOptions(
# image=ecs.ContainerImage.from_ecr_repository(self.container_image.repository),
image=ecs.ContainerImage.from_docker_image_asset(
self.container_image),
container_port=8080,
enable_logging=True,
environment={
# https://github.com/jenkinsci/docker/blob/master/README.md#passing-jvm-parameters
'JAVA_OPTS':
'-Djenkins.install.runSetupWizard=false',
# https://github.com/jenkinsci/configuration-as-code-plugin/blob/master/README.md#getting-started
'CASC_JENKINS_CONFIG':
'/config-as-code.yaml',
'network_stack':
self.vpc.stack_name,
'cluster_stack':
self.cluster.stack_name,
'worker_stack':
self.worker.stack_name,
'cluster_arn':
self.cluster.cluster.cluster_arn,
'aws_region':
config['DEFAULT']['region'],
'jenkins_url':
config['DEFAULT']['jenkins_url'],
'subnet_ids':
",".join(
[x.subnet_id for x in self.vpc.vpc.private_subnets]),
'security_group_ids':
self.worker.worker_security_group.security_group_id,
'execution_role_arn':
self.worker.worker_execution_role.role_arn,
'task_role_arn':
self.worker.worker_task_role.role_arn,
'worker_log_group':
self.worker.worker_logs_group.log_group_name,
'worker_log_stream_prefix':
self.worker.worker_log_stream.log_stream_name
},
)
# Create the Jenkins master service
self.jenkins_master_service_main = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"JenkinsMasterService",
cpu=int(config['DEFAULT']['fargate_cpu']),
memory_limit_mib=int(
config['DEFAULT']['fargate_memory_limit_mib']),
cluster=self.cluster.cluster,
desired_count=1,
enable_ecs_managed_tags=True,
task_image_options=self.jenkins_task,
cloud_map_options=ecs.CloudMapOptions(
name="master", dns_record_type=sd.DnsRecordType('A')))
self.jenkins_master_service = self.jenkins_master_service_main.service
self.jenkins_master_task = self.jenkins_master_service.task_definition
if config['DEFAULT']['ec2_enabled'] == "yes":
self.jenkins_load_balancer = elb.ApplicationLoadBalancer(
self,
"JenkinsMasterELB",
vpc=self.vpc.vpc,
internet_facing=True,
)
self.listener = self.jenkins_load_balancer.add_listener("Listener",
port=80)
self.jenkins_master_task = ecs.Ec2TaskDefinition(
self,
"JenkinsMasterTaskDef",
network_mode=ecs.NetworkMode.AWS_VPC,
volumes=[
ecs.Volume(name="efs_mount",
host=ecs.Host(source_path='/mnt/efs'))
],
)
self.jenkins_master_task.add_container(
"JenkinsMasterContainer",
image=ecs.ContainerImage.from_ecr_repository(
self.container_image.repository),
cpu=int(config['DEFAULT']['ec2_cpu']),
memory_limit_mib=int(
config['DEFAULT']['ec2_memory_limit_mib']),
environment={
# https://github.com/jenkinsci/docker/blob/master/README.md#passing-jvm-parameters
'JAVA_OPTS':
'-Djenkins.install.runSetupWizard=false',
'CASC_JENKINS_CONFIG':
'/config-as-code.yaml',
'network_stack':
self.vpc.stack_name,
'cluster_stack':
self.cluster.stack_name,
'worker_stack':
self.worker.stack_name,
'cluster_arn':
self.cluster.cluster.cluster_arn,
'aws_region':
config['DEFAULT']['region'],
'jenkins_url':
config['DEFAULT']['jenkins_url'],
'subnet_ids':
",".join(
[x.subnet_id for x in self.vpc.vpc.private_subnets]),
'security_group_ids':
self.worker.worker_security_group.security_group_id,
'execution_role_arn':
self.worker.worker_execution_role.role_arn,
'task_role_arn':
self.worker.worker_task_role.role_arn,
'worker_log_group':
self.worker.worker_logs_group.log_group_name,
'worker_log_stream_prefix':
self.worker.worker_log_stream.log_stream_name
},
logging=ecs.LogDriver.aws_logs(
stream_prefix="JenkinsMaster",
log_retention=logs.RetentionDays.ONE_WEEK),
)
self.jenkins_master_task.default_container.add_mount_points(
ecs.MountPoint(container_path='/var/jenkins_home',
source_volume="efs_mount",
read_only=False))
self.jenkins_master_task.default_container.add_port_mappings(
ecs.PortMapping(container_port=8080, host_port=8080))
self.jenkins_master_service = ecs.Ec2Service(
self,
"EC2MasterService",
task_definition=self.jenkins_master_task,
cloud_map_options=ecs.CloudMapOptions(
name="master", dns_record_type=sd.DnsRecordType('A')),
desired_count=1,
min_healthy_percent=0,
max_healthy_percent=100,
enable_ecs_managed_tags=True,
cluster=self.cluster.cluster,
)
self.target_group = self.listener.add_targets(
"JenkinsMasterTarget",
port=80,
targets=[
self.jenkins_master_service.load_balancer_target(
container_name=self.jenkins_master_task.
default_container.container_name,
container_port=8080,
)
],
deregistration_delay=core.Duration.seconds(10))
# Opening port 5000 for master <--> worker communications
self.jenkins_master_service.task_definition.default_container.add_port_mappings(
ecs.PortMapping(container_port=50000, host_port=50000))
# Enable connection between Master and Worker
self.jenkins_master_service.connections.allow_from(
other=self.worker.worker_security_group,
port_range=ec2.Port(protocol=ec2.Protocol.TCP,
string_representation='Master to Worker 50000',
from_port=50000,
to_port=50000))
# Enable connection between Master and Worker on 8080
self.jenkins_master_service.connections.allow_from(
other=self.worker.worker_security_group,
port_range=ec2.Port(protocol=ec2.Protocol.TCP,
string_representation='Master to Worker 8080',
from_port=8080,
to_port=8080))
# IAM Statements to allow jenkins ecs plugin to talk to ECS as well as the Jenkins cluster #
self.jenkins_master_task.add_to_task_role_policy(
iam.PolicyStatement(
actions=[
"ecs:RegisterTaskDefinition",
"ecs:DeregisterTaskDefinition", "ecs:ListClusters",
"ecs:DescribeContainerInstances",
"ecs:ListTaskDefinitions", "ecs:DescribeTaskDefinition",
"ecs:DescribeTasks"
],
resources=["*"],
))
self.jenkins_master_task.add_to_task_role_policy(
iam.PolicyStatement(actions=["ecs:ListContainerInstances"],
resources=[self.cluster.cluster.cluster_arn]))
self.jenkins_master_task.add_to_task_role_policy(
iam.PolicyStatement(
actions=["ecs:RunTask"],
resources=[
"arn:aws:ecs:{0}:{1}:task-definition/fargate-workers*".
format(
self.region,
self.account,
)
]))
self.jenkins_master_task.add_to_task_role_policy(
iam.PolicyStatement(actions=["ecs:StopTask"],
resources=[
"arn:aws:ecs:{0}:{1}:task/*".format(
self.region, self.account)
],
conditions={
"ForAnyValue:ArnEquals": {
"ecs:cluster":
self.cluster.cluster.cluster_arn
}
}))
self.jenkins_master_task.add_to_task_role_policy(
iam.PolicyStatement(actions=["iam:PassRole"],
resources=[
self.worker.worker_task_role.role_arn,
self.worker.worker_execution_role.role_arn
]))
# END OF JENKINS ECS PLUGIN IAM POLICIES #
self.jenkins_master_task.add_to_task_role_policy(
iam.PolicyStatement(
actions=["*"],
resources=[self.worker.worker_logs_group.log_group_arn]))
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# ==============================
# ======= CFN PARAMETERS =======
# ==============================
project_name_param = core.CfnParameter(scope=self, id='ProjectName', type='String')
db_name = 'mlflowdb'
port = 3306
username = '******'
bucket_name = f'{project_name_param.value_as_string}-artifacts-{core.Aws.ACCOUNT_ID}'
container_repo_name = 'mlflow-containers'
cluster_name = 'mlflow'
service_name = 'mlflow'
# ==================================================
# ================= IAM ROLE =======================
# ==================================================
role = iam.Role(scope=self, id='TASKROLE', assumed_by=iam.ServicePrincipal(service='ecs-tasks.amazonaws.com'))
role.add_managed_policy(iam.ManagedPolicy.from_aws_managed_policy_name('AmazonS3FullAccess'))
role.add_managed_policy(iam.ManagedPolicy.from_aws_managed_policy_name('AmazonECS_FullAccess'))
# ==================================================
# ================== SECRET ========================
# ==================================================
db_password_secret = sm.Secret(
scope=self,
id='DBSECRET',
secret_name='dbPassword',
generate_secret_string=sm.SecretStringGenerator(password_length=20, exclude_punctuation=True)
)
# ==================================================
# ==================== VPC =========================
# ==================================================
#public_subnet = ec2.SubnetConfiguration(name='Public', subnet_type=ec2.SubnetType.PUBLIC, cidr_mask=28)
#dev-shared-public-subnet-az1
#private_subnet = ec2.SubnetConfiguration(name='Private', subnet_type=ec2.SubnetType.PRIVATE, cidr_mask=28)
#dev-shared-private-subnet-az1
#isolated_subnet = ec2.SubnetConfiguration(name='DB', subnet_type=ec2.SubnetType.ISOLATED, cidr_mask=28)
#dev-shared-private-subnet-az1
#use existing (is needed later for fargete)
""" vpc = ec2.Vpc(
scope=self,
id='VPC',
cidr='10.0.0.0/24',
max_azs=2,
nat_gateway_provider=ec2.NatProvider.gateway(),
nat_gateways=1,
subnet_configuration=[public_subnet, private_subnet, isolated_subnet]
) """
""" stack = MyStack(
app, "MyStack", env=Environment(account="account_id", region="region")
) """
vpc = ec2.Vpc.from_lookup(self, "VPC",
vpc_id = "vpc-03076add1b1efca31" #is_default=True
) #TODO: fill in correct arguments
#vpc_id = "vpc-03076add1b1efca31"
#leave, should be fine, if not check (is nto NAT gateway)
#original: vpc.add_gateway_endpoint('S3Endpoint', service=ec2.GatewayVpcEndpointAwsService.S3)
# ==================================================
# ================= S3 BUCKET ======================
# ==================================================
artifact_bucket = s3.Bucket(
scope=self,
id='ARTIFACTBUCKET',
bucket_name=bucket_name,
public_read_access=False,
block_public_access=s3.BlockPublicAccess.BLOCK_ALL,
removal_policy=core.RemovalPolicy.DESTROY
)
# # ==================================================
# # ================== DATABASE =====================
# # ==================================================
# Creates a security group for AWS RDS
sg_rds = ec2.SecurityGroup(scope=self, id='SGRDS', vpc=vpc, security_group_name='sg_rds')
# Adds an ingress rule which allows resources in the VPC's CIDR to access the database.
#original: sg_rds.add_ingress_rule(peer=ec2.Peer.ipv4('10.0.0.0/24'), connection=ec2.Port.tcp(port))
sg_rds.add_ingress_rule(peer=ec2.Peer.ipv4('10.206.192.0/19'), connection=ec2.Port.tcp(port))
#10.206.192.0/19
database = rds.DatabaseInstance(
scope=self,
id='MYSQL',
database_name=db_name,
port=port,
credentials=rds.Credentials.from_username(username=username, password=db_password_secret.secret_value),
engine=rds.DatabaseInstanceEngine.mysql(version=rds.MysqlEngineVersion.VER_8_0_19),
instance_type=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.SMALL),
vpc=vpc,
security_groups=[sg_rds],
#vpc_subnets=ec2.SubnetSelection(subnet_type=ec2.SubnetType.ISOLATED),
vpc_subnets=ec2.SubnetSelection(subnet_type=ec2.SubnetType.PRIVATE), #TODO: check if you need to select private here and how
# multi_az=True,
removal_policy=core.RemovalPolicy.DESTROY,
deletion_protection=False
)
# ==================================================
# =============== FARGATE SERVICE ==================
# ==================================================
cluster = ecs.Cluster(scope=self, id='CLUSTER', cluster_name=cluster_name, vpc=vpc)
task_definition = ecs.FargateTaskDefinition(
scope=self,
id='MLflow',
task_role=role,
)
container = task_definition.add_container(
id='Container',
image=ecs.ContainerImage.from_asset(
directory='container',
repository_name=container_repo_name
),
environment={
'BUCKET': f's3://{artifact_bucket.bucket_name}',
'HOST': database.db_instance_endpoint_address,
'PORT': str(port),
'DATABASE': db_name,
'USERNAME': username
},
secrets={
'PASSWORD': ecs.Secret.from_secrets_manager(db_password_secret)
}
)
port_mapping = ecs.PortMapping(container_port=5000, host_port=5000, protocol=ecs.Protocol.TCP)
container.add_port_mappings(port_mapping)
fargate_service = ecs_patterns.NetworkLoadBalancedFargateService(
scope=self,
id='MLFLOW',
service_name=service_name,
cluster=cluster,
task_definition=task_definition
)
# Setup security group
fargate_service.service.connections.security_groups[0].add_ingress_rule(
peer=ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=ec2.Port.tcp(5000),
description='Allow inbound from VPC for mlflow'
)
# Setup autoscaling policy
scaling = fargate_service.service.auto_scale_task_count(max_capacity=2)
scaling.scale_on_cpu_utilization(
id='AUTOSCALING',
target_utilization_percent=70,
scale_in_cooldown=core.Duration.seconds(60),
scale_out_cooldown=core.Duration.seconds(60)
)
# ==================================================
# =================== OUTPUTS ======================
# ==================================================
core.CfnOutput(scope=self, id='LoadBalancerDNS', value=fargate_service.load_balancer.load_balancer_dns_name)
def createResources(self, ns):
# Security Group Updates
albsg = self.bentoALB.connections.security_groups[0]
self.ecssg = self.bentoECS_ASG.connections.security_groups[0]
botoec2 = boto3.client('ec2')
group_name = 'bento-bastion-sg'
response = botoec2.describe_security_groups(
Filters=[dict(Name='group-name', Values=[group_name])])
bastion_group_id = response['SecurityGroups'][0]['GroupId']
self.bastionsg = ec2.SecurityGroup.from_security_group_id(
self, 'bastion-security-group', security_group_id=bastion_group_id)
self.ecssg.add_ingress_rule(
albsg,
ec2.Port.tcp(int(self.config[ns]['backend_container_port'])))
self.ecssg.add_ingress_rule(
albsg,
ec2.Port.tcp(int(self.config[ns]['frontend_container_port'])))
self.ecssg.add_ingress_rule(self.bastionsg, ec2.Port.tcp(22))
# Backend Task Definition
backendECSTask = ecs.Ec2TaskDefinition(
self, "bento-ecs-backend", network_mode=ecs.NetworkMode.AWS_VPC)
backendECSContainer = backendECSTask.add_container(
'api',
image=ecs.ContainerImage.from_registry(
"cbiitssrepo/bento-backend:latest"),
memory_reservation_mib=1024,
cpu=512)
backend_port_mapping = ecs.PortMapping(
container_port=int(self.config[ns]['backend_container_port']),
host_port=int(self.config[ns]['backend_container_port']),
protocol=ecs.Protocol.TCP)
backendECSContainer.add_port_mappings(backend_port_mapping)
# Backend Service
self.backendService = ecs.Ec2Service(
self,
"{}-backend".format(ns),
service_name="{}-backend".format(ns),
task_definition=backendECSTask,
cluster=self.bentoECS)
# Frontend Task Definition
frontendECSTask = ecs.Ec2TaskDefinition(
self, "bento-ecs-frontend", network_mode=ecs.NetworkMode.AWS_VPC)
frontendECSContainer = frontendECSTask.add_container(
'ui',
image=ecs.ContainerImage.from_registry(
"cbiitssrepo/bento-frontend:latest"),
memory_reservation_mib=1024,
cpu=512)
frontend_port_mapping = ecs.PortMapping(
container_port=int(self.config[ns]['frontend_container_port']),
host_port=int(self.config[ns]['frontend_container_port']),
protocol=ecs.Protocol.TCP)
frontendECSContainer.add_port_mappings(frontend_port_mapping)
# Frontend Service
self.frontendService = ecs.Ec2Service(
self,
"{}-frontend".format(ns),
service_name="{}-frontend".format(ns),
task_definition=frontendECSTask,
cluster=self.bentoECS)
def create_fagate_NLB_autoscaling_custom(self, vpc, **kwargs):
####################
# Unpack Value for name/ecr_repo
app_name = kwargs['function'].replace("_", "-")
task_name = "{}-task-definition".format(app_name)
log_name = app_name
image_name = "{}-image".format(app_name)
container_name = "{}-container".format(app_name)
service_name = "{}-service".format(app_name)
app_ecr = kwargs['ecr']
ecs_role = kwargs['ecs_role']
####################
# Create Cluster
cluster = ecs.Cluster(self, 'fargate-service-autoscaling', vpc=vpc)
####################
# Config IAM Role
# add managed policy statement
# ecs_base_role = iam.Role(
# self,
# "ecs_service_role",
# assumed_by=iam.ServicePrincipal("ecs.amazonaws.com")
# )
# ecs_role = ecs_base_role.from_role_arn(self, 'gw-ecr-role-test', role_arn='arn:aws:iam::002224604296:role/ecsTaskExecutionRole')
####################
# Create Fargate Task Definition
fargate_task = ecs.FargateTaskDefinition(self,
task_name,
execution_role=ecs_role,
task_role=ecs_role,
cpu=2048,
memory_limit_mib=8192)
# 0. config log
ecs_log = ecs.LogDrivers.aws_logs(stream_prefix=log_name)
# 1. prepare ecr repository
ecr_repo = ecr.Repository.from_repository_name(self,
id=image_name,
repository_name=app_ecr)
farget_container = fargate_task.add_container(
container_name,
image=ecs.ContainerImage.from_ecr_repository(ecr_repo),
logging=ecs_log,
environment={
'KG_PATH': "s3://autorec-1",
"REDIS_URL": self.redis_host,
"REDIS_PORT": self.redis_port
})
# 2. config port mapping
port_mapping = ecs.PortMapping(container_port=9008,
host_port=9008,
protocol=ecs.Protocol.TCP)
farget_container.add_port_mappings(port_mapping)
####################
# Config NLB service
# fargate_service = ecs.FargateService(self, 'graph-inference-service',
# cluster=cluster, task_definition=fargate_task, assign_public_ip=True
# )
fargate_service = ecs_patterns.NetworkLoadBalancedFargateService(
self,
service_name,
cluster=cluster,
task_definition=fargate_task,
assign_public_ip=True,
desired_count=20,
listener_port=9008)
# 0. allow inbound in sg
fargate_service.service.connections.security_groups[
0].add_ingress_rule(
# peer = ec2.Peer.ipv4(vpc.vpc_cidr_block),
peer=ec2.Peer.ipv4('0.0.0.0/0'),
connection=ec2.Port.tcp(9008),
description="Allow http inbound from VPC")
# 1. setup autoscaling policy
# autoscaling 自动scale
# scaling = fargate_service.service.auto_scale_task_count(
# max_capacity=50
# )
# scaling.scale_on_cpu_utilization(
# "CpuScaling",
# target_utilization_percent=50,
# scale_in_cooldown=core.Duration.seconds(60),
# scale_out_cooldown=core.Duration.seconds(60),
# )
return fargate_service.load_balancer.load_balancer_dns_name
class MLflowStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
##
##Parametros gerais utilizados para provisioamento de infra
##
project_name_param = core.CfnParameter(scope=self, id='mlflowStack', type='String', default='mlflowStack')
db_name = 'mlflowdb'
port = 3306
username = '******'
bucket_name = 'mlflowbucket-track-stack'
container_repo_name = 'mlflow-containers'
cluster_name = 'mlflow'
service_name = 'mlflow'
#Associação das policys gerenciadas a role que sera atribuida a task ECS.
role = iam.Role(scope=self, id='TASKROLE', assumed_by=iam.ServicePrincipal(service='ecs-tasks.amazonaws.com'))
role.add_managed_policy(iam.ManagedPolicy.from_aws_managed_policy_name('AmazonS3FullAccess'))
role.add_managed_policy(iam.ManagedPolicy.from_aws_managed_policy_name('AmazonECS_FullAccess'))
#Secrets Manager responsavel pelo armazenamento do password do nosso RDS MySQL
db_password_secret = sm.Secret(
scope=self,
id='dbsecret',
secret_name='dbPassword',
generate_secret_string=sm.SecretStringGenerator(password_length=20, exclude_punctuation=True)
)
#Criação do Bucket S3
artifact_bucket = s3.Bucket(
scope=self,
id='mlflowstacktrack',
bucket_name=bucket_name,
public_read_access=False,
block_public_access=s3.BlockPublicAccess.BLOCK_ALL,
removal_policy=core.RemovalPolicy.DESTROY
)
#Obtenção de VPC para atribuição ao RDS
dev_vpc = ec2.Vpc.from_vpc_attributes(
self, '<VPC_NAME>',
vpc_id = "<VPC_ID>",
availability_zones = core.Fn.get_azs(),
private_subnet_ids = ["PRIVATE_SUBNET_ID_1","PRIVATE_SUBNET_ID_2","PRIVATE_SUBNET_ID_3"]
)
# Adicionamos aqui para efeito de testes 0.0.0.0/0
sg_rds = ec2.SecurityGroup(scope=self, id='SGRDS', security_group_name='sg_rds', vpc=dev_vpc)
sg_rds.add_ingress_rule(peer=ec2.Peer.ipv4('0.0.0.0/0'), connection=ec2.Port.tcp(port))
# Criação da instancia RDS
database = rds.DatabaseInstance(
scope=self,
id='MYSQL',
database_name=db_name,
port=port,
credentials=rds.Credentials.from_username(username=username, password=db_password_secret.secret_value),
engine=rds.DatabaseInstanceEngine.mysql(version=rds.MysqlEngineVersion.VER_8_0_19),
instance_type=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.SMALL),
security_groups=[sg_rds],
vpc=dev_vpc,
# multi_az=True,
removal_policy=core.RemovalPolicy.DESTROY,
deletion_protection=False
)
#Criação do Cluster ECS
cluster = ecs.Cluster(scope=self, id='CLUSTER', cluster_name=cluster_name)
#Task Definition para Fargate
task_definition = ecs.FargateTaskDefinition(
scope=self,
id='MLflow',
task_role=role,
)
#Criando nosso container com base no Dockerfile do MLflow
container = task_definition.add_container(
id='Container',
image=ecs.ContainerImage.from_asset(
directory='../MLflow/container',
repository_name=container_repo_name
),
#Atribuição Variaves ambiente
environment={
'BUCKET': f's3://{artifact_bucket.bucket_name}',
'HOST': database.db_instance_endpoint_address,
'PORT': str(port),
'DATABASE': db_name,
'USERNAME': username
},
#Secrets contendo o password do RDS MySQL
secrets={
'PASSWORD': ecs.Secret.from_secrets_manager(db_password_secret)
}
)
#Port Mapping para exposição do Container MLflow
port_mapping = ecs.PortMapping(container_port=5000, host_port=5000, protocol=ecs.Protocol.TCP)
container.add_port_mappings(port_mapping)
fargate_service = ecs_patterns.NetworkLoadBalancedFargateService(
scope=self,
id='MLFLOW',
service_name=service_name,
cluster=cluster,
task_definition=task_definition
)
#Security group para ingress
fargate_service.service.connections.security_groups[0].add_ingress_rule(
peer=ec2.Peer.ipv4('0.0.0.0/0'),
connection=ec2.Port.tcp(5000),
description='Allow inbound for mlflow'
)
#Auto Scaling Policy para nosso balanceador
scaling = fargate_service.service.auto_scale_task_count(max_capacity=2)
scaling.scale_on_cpu_utilization(
id='AUTOSCALING',
target_utilization_percent=70,
scale_in_cooldown=core.Duration.seconds(60),
scale_out_cooldown=core.Duration.seconds(60)
)
core.CfnOutput(scope=self, id='LoadBalancerDNS', value=fargate_service.load_balancer.load_balancer_dns_name)
def __init__(self,
scope: core.Construct,
id: str,
vpc: aws_ec2.Vpc,
ecs_cluster=aws_ecs.Cluster,
alb=elbv2.ApplicationLoadBalancer,
albTestListener=elbv2.ApplicationListener,
albProdListener=elbv2.ApplicationListener,
blueGroup=elbv2.ApplicationTargetGroup,
greenGroup=elbv2.ApplicationTargetGroup,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
ECS_APP_NAME = "Nginx-app",
ECS_DEPLOYMENT_GROUP_NAME = "NginxAppECSBlueGreen"
ECS_DEPLOYMENT_CONFIG_NAME = "CodeDeployDefault.ECSLinear10PercentEvery1Minutes"
ECS_TASKSET_TERMINATION_WAIT_TIME = 10
ECS_TASK_FAMILY_NAME = "Nginx-microservice"
ECS_APP_NAME = "Nginx-microservice"
ECS_APP_LOG_GROUP_NAME = "/ecs/Nginx-microservice"
DUMMY_TASK_FAMILY_NAME = "sample-Nginx-microservice"
DUMMY_APP_NAME = "sample-Nginx-microservice"
DUMMY_APP_LOG_GROUP_NAME = "/ecs/sample-Nginx-microservice"
DUMMY_CONTAINER_IMAGE = "smuralee/nginx"
# =============================================================================
# ECR and CodeCommit repositories for the Blue/ Green deployment
# =============================================================================
# ECR repository for the docker images
NginxecrRepo = aws_ecr.Repository(self,
"NginxRepo",
image_scan_on_push=True)
NginxCodeCommitrepo = aws_codecommit.Repository(
self,
"NginxRepository",
repository_name=ECS_APP_NAME,
description="Oussama application hosted on NGINX")
# =============================================================================
# CODE BUILD and ECS TASK ROLES for the Blue/ Green deployment
# =============================================================================
# IAM role for the Code Build project
codeBuildServiceRole = aws_iam.Role(
self,
"codeBuildServiceRole",
assumed_by=aws_iam.ServicePrincipal('codebuild.amazonaws.com'))
inlinePolicyForCodeBuild = aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=[
"ecr:GetAuthorizationToken", "ecr:BatchCheckLayerAvailability",
"ecr:InitiateLayerUpload", "ecr:UploadLayerPart",
"ecr:CompleteLayerUpload", "ecr:PutImage"
],
resources=["*"])
codeBuildServiceRole.add_to_policy(inlinePolicyForCodeBuild)
# ECS task role
ecsTaskRole = aws_iam.Role(
self,
"ecsTaskRoleForWorkshop",
assumed_by=aws_iam.ServicePrincipal('ecs-tasks.amazonaws.com'))
ecsTaskRole.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
"service-role/AmazonECSTaskExecutionRolePolicy"))
# =============================================================================
# CODE DEPLOY APPLICATION for the Blue/ Green deployment
# =============================================================================
# Creating the code deploy application
codeDeployApplication = codedeploy.EcsApplication(
self, "NginxAppCodeDeploy")
# Creating the code deploy service role
codeDeployServiceRole = aws_iam.Role(
self,
"codeDeployServiceRole",
assumed_by=aws_iam.ServicePrincipal('codedeploy.amazonaws.com'))
codeDeployServiceRole.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
"AWSCodeDeployRoleForECS"))
# IAM role for custom lambda function
customLambdaServiceRole = aws_iam.Role(
self,
"codeDeployCustomLambda",
assumed_by=aws_iam.ServicePrincipal('lambda.amazonaws.com'))
inlinePolicyForLambda = aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=[
"iam:PassRole", "sts:AssumeRole", "codedeploy:List*",
"codedeploy:Get*", "codedeploy:UpdateDeploymentGroup",
"codedeploy:CreateDeploymentGroup",
"codedeploy:DeleteDeploymentGroup"
],
resources=["*"])
customLambdaServiceRole.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
'service-role/AWSLambdaBasicExecutionRole'))
customLambdaServiceRole.add_to_policy(inlinePolicyForLambda)
# Custom resource to create the deployment group
createDeploymentGroupLambda = aws_lambda.Function(
self,
'createDeploymentGroupLambda',
code=aws_lambda.Code.from_asset("custom_resources"),
runtime=aws_lambda.Runtime.PYTHON_3_8,
handler='create_deployment_group.handler',
role=customLambdaServiceRole,
description="Custom resource to create deployment group",
memory_size=128,
timeout=core.Duration.seconds(60))
# ================================================================================================
# CloudWatch Alarms for 4XX errors
blue4xxMetric = aws_cloudwatch.Metric(
namespace='AWS/ApplicationELB',
metric_name='HTTPCode_Target_4XX_Count',
dimensions={
"TargetGroup": blueGroup.target_group_full_name,
"LoadBalancer": alb.load_balancer_full_name
},
statistic="sum",
period=core.Duration.minutes(1))
blueGroupAlarm = aws_cloudwatch.Alarm(
self,
"blue4xxErrors",
alarm_name="Blue_4xx_Alarm",
alarm_description=
"CloudWatch Alarm for the 4xx errors of Blue target group",
metric=blue4xxMetric,
threshold=1,
evaluation_periods=1)
green4xxMetric = aws_cloudwatch.Metric(
namespace='AWS/ApplicationELB',
metric_name='HTTPCode_Target_4XX_Count',
dimensions={
"TargetGroup": greenGroup.target_group_full_name,
"LoadBalancer": alb.load_balancer_full_name
},
statistic="sum",
period=core.Duration.minutes(1))
greenGroupAlarm = aws_cloudwatch.Alarm(
self,
"green4xxErrors",
alarm_name="Green_4xx_Alarm",
alarm_description=
"CloudWatch Alarm for the 4xx errors of Green target group",
metric=green4xxMetric,
threshold=1,
evaluation_periods=1)
# ================================================================================================
# DUMMY TASK DEFINITION for the initial service creation
# This is required for the service being made available to create the CodeDeploy Deployment Group
# ================================================================================================
sampleTaskDefinition = aws_ecs.FargateTaskDefinition(
self,
"sampleTaskDefn",
family=DUMMY_TASK_FAMILY_NAME,
cpu=256,
memory_limit_mib=1024,
task_role=ecsTaskRole,
execution_role=ecsTaskRole)
sampleContainerDefn = sampleTaskDefinition.add_container(
"sampleAppContainer",
image=aws_ecs.ContainerImage.from_registry(DUMMY_CONTAINER_IMAGE),
logging=aws_ecs.AwsLogDriver(log_group=aws_logs.LogGroup(
self,
"sampleAppLogGroup",
log_group_name=DUMMY_APP_LOG_GROUP_NAME,
removal_policy=core.RemovalPolicy.DESTROY),
stream_prefix=DUMMY_APP_NAME),
docker_labels={"name": DUMMY_APP_NAME})
port_mapping = aws_ecs.PortMapping(container_port=80,
protocol=aws_ecs.Protocol.TCP)
sampleContainerDefn.add_port_mappings(port_mapping)
# ================================================================================================
# ECS task definition using ECR image
# Will be used by the CODE DEPLOY for Blue/Green deployment
# ================================================================================================
NginxTaskDefinition = aws_ecs.FargateTaskDefinition(
self,
"appTaskDefn",
family=ECS_TASK_FAMILY_NAME,
cpu=256,
memory_limit_mib=1024,
task_role=ecsTaskRole,
execution_role=ecsTaskRole)
NginxcontainerDefinition = NginxTaskDefinition.add_container(
"NginxAppContainer",
image=aws_ecs.ContainerImage.from_ecr_repository(
NginxecrRepo, "latest"),
logging=aws_ecs.AwsLogDriver(log_group=aws_logs.LogGroup(
self,
"NginxAppLogGroup",
log_group_name=ECS_APP_LOG_GROUP_NAME,
removal_policy=core.RemovalPolicy.DESTROY),
stream_prefix=ECS_APP_NAME),
docker_labels={"name": ECS_APP_NAME})
NginxcontainerDefinition.add_port_mappings(port_mapping)
# =============================================================================
# ECS SERVICE for the Blue/ Green deployment
# =============================================================================
NginxAppService = aws_ecs.FargateService(
self,
"NginxAppService",
cluster=ecs_cluster,
task_definition=NginxTaskDefinition,
health_check_grace_period=core.Duration.seconds(10),
desired_count=3,
deployment_controller={
"type": aws_ecs.DeploymentControllerType.CODE_DEPLOY
},
service_name=ECS_APP_NAME)
NginxAppService.connections.allow_from(alb, aws_ec2.Port.tcp(80))
NginxAppService.connections.allow_from(alb, aws_ec2.Port.tcp(8080))
NginxAppService.attach_to_application_target_group(blueGroup)
# =============================================================================
# CODE DEPLOY - Deployment Group CUSTOM RESOURCE for the Blue/ Green deployment
# =============================================================================
core.CustomResource(
self,
'customEcsDeploymentGroup',
service_token=createDeploymentGroupLambda.function_arn,
properties={
"ApplicationName": codeDeployApplication.application_name,
"DeploymentGroupName": ECS_DEPLOYMENT_GROUP_NAME,
"DeploymentConfigName": ECS_DEPLOYMENT_CONFIG_NAME,
"ServiceRoleArn": codeDeployServiceRole.role_arn,
"BlueTargetGroup": blueGroup.target_group_name,
"GreenTargetGroup": greenGroup.target_group_name,
"ProdListenerArn": albProdListener.listener_arn,
"TestListenerArn": albTestListener.listener_arn,
"EcsClusterName": ecs_cluster.cluster_name,
"EcsServiceName": NginxAppService.service_name,
"TerminationWaitTime": ECS_TASKSET_TERMINATION_WAIT_TIME,
"BlueGroupAlarm": blueGroupAlarm.alarm_name,
"GreenGroupAlarm": greenGroupAlarm.alarm_name,
})
ecsDeploymentGroup = codedeploy.EcsDeploymentGroup.from_ecs_deployment_group_attributes(
self,
"ecsDeploymentGroup",
application=codeDeployApplication,
deployment_group_name=ECS_DEPLOYMENT_GROUP_NAME,
deployment_config=codedeploy.EcsDeploymentConfig.
from_ecs_deployment_config_name(self, "ecsDeploymentConfig",
ECS_DEPLOYMENT_CONFIG_NAME))
# =============================================================================
# CODE BUILD PROJECT for the Blue/ Green deployment
# =============================================================================
# Creating the code build project
NginxAppcodebuild = aws_codebuild.Project(
self,
"NginxAppCodeBuild",
role=codeBuildServiceRole,
environment=aws_codebuild.BuildEnvironment(
build_image=aws_codebuild.LinuxBuildImage.STANDARD_4_0,
compute_type=aws_codebuild.ComputeType.SMALL,
privileged=True,
environment_variables={
'REPOSITORY_URI': {
'value':
NginxecrRepo.repository_uri,
'type':
aws_codebuild.BuildEnvironmentVariableType.PLAINTEXT
},
'TASK_EXECUTION_ARN': {
'value':
ecsTaskRole.role_arn,
'type':
aws_codebuild.BuildEnvironmentVariableType.PLAINTEXT
},
'TASK_FAMILY': {
'value':
ECS_TASK_FAMILY_NAME,
'type':
aws_codebuild.BuildEnvironmentVariableType.PLAINTEXT
}
}),
source=aws_codebuild.Source.code_commit(
repository=NginxCodeCommitrepo))
# =============================================================================
# CODE PIPELINE for Blue/Green ECS deployment
# =============================================================================
codePipelineServiceRole = aws_iam.Role(
self,
"codePipelineServiceRole",
assumed_by=aws_iam.ServicePrincipal('codepipeline.amazonaws.com'))
inlinePolicyForCodePipeline = aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=[
"iam:PassRole", "sts:AssumeRole", "codecommit:Get*",
"codecommit:List*", "codecommit:GitPull",
"codecommit:UploadArchive", "codecommit:CancelUploadArchive",
"codebuild:BatchGetBuilds", "codebuild:StartBuild",
"codedeploy:CreateDeployment", "codedeploy:Get*",
"codedeploy:RegisterApplicationRevision", "s3:Get*",
"s3:List*", "s3:PutObject"
],
resources=["*"])
codePipelineServiceRole.add_to_policy(inlinePolicyForCodePipeline)
sourceArtifact = codepipeline.Artifact('sourceArtifact')
buildArtifact = codepipeline.Artifact('buildArtifact')
# S3 bucket for storing the code pipeline artifacts
NginxAppArtifactsBucket = s3.Bucket(
self,
"NginxAppArtifactsBucket",
encryption=s3.BucketEncryption.S3_MANAGED,
block_public_access=s3.BlockPublicAccess.BLOCK_ALL)
# S3 bucket policy for the code pipeline artifacts
denyUnEncryptedObjectUploads = aws_iam.PolicyStatement(
effect=aws_iam.Effect.DENY,
actions=["s3:PutObject"],
principals=[aws_iam.AnyPrincipal()],
resources=[NginxAppArtifactsBucket.bucket_arn + "/*"],
conditions={
"StringNotEquals": {
"s3:x-amz-server-side-encryption": "aws:kms"
}
})
denyInsecureConnections = aws_iam.PolicyStatement(
effect=aws_iam.Effect.DENY,
actions=["s3:*"],
principals=[aws_iam.AnyPrincipal()],
resources=[NginxAppArtifactsBucket.bucket_arn + "/*"],
conditions={"Bool": {
"aws:SecureTransport": "false"
}})
NginxAppArtifactsBucket.add_to_resource_policy(
denyUnEncryptedObjectUploads)
NginxAppArtifactsBucket.add_to_resource_policy(denyInsecureConnections)
# Code Pipeline - CloudWatch trigger event is created by CDK
codepipeline.Pipeline(
self,
"ecsBlueGreen",
role=codePipelineServiceRole,
artifact_bucket=NginxAppArtifactsBucket,
stages=[
codepipeline.StageProps(
stage_name='Source',
actions=[
aws_codepipeline_actions.CodeCommitSourceAction(
action_name='Source',
repository=NginxCodeCommitrepo,
output=sourceArtifact,
)
]),
codepipeline.StageProps(
stage_name='Build',
actions=[
aws_codepipeline_actions.CodeBuildAction(
action_name='Build',
project=NginxAppcodebuild,
input=sourceArtifact,
outputs=[buildArtifact])
]),
codepipeline.StageProps(
stage_name='Deploy',
actions=[
aws_codepipeline_actions.CodeDeployEcsDeployAction(
action_name='Deploy',
deployment_group=ecsDeploymentGroup,
app_spec_template_input=buildArtifact,
task_definition_template_input=buildArtifact,
)
])
])
# =============================================================================
# Export the outputs
# =============================================================================
core.CfnOutput(self,
"ecsBlueGreenCodeRepo",
description="Demo app code commit repository",
export_name="ecsBlueGreenDemoAppRepo",
value=NginxCodeCommitrepo.repository_clone_url_http)
core.CfnOutput(self,
"ecsBlueGreenLBDns",
description="Load balancer DNS",
export_name="ecsBlueGreenLBDns",
value=alb.load_balancer_dns_name)
def __init__(self, scope: Construct, construct_id: str, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
vpc = ec2.Vpc(self, "PirateVpc", max_azs=1)
cluster = ecs.Cluster(self,
"PirateCluster",
container_insights=True,
vpc=vpc)
cluster.add_capacity(
'Shipyard',
block_devices=[
autoscaling.BlockDevice(
device_name='/dev/xvda',
volume=autoscaling.BlockDeviceVolume.ebs(
volume_size=1000)) # 1 TB
],
instance_type=ec2.InstanceType('m4.4xlarge'))
task_definition = ecs.Ec2TaskDefinition(
self,
'PirateTask',
family='eth2',
volumes=[
ecs.Volume(
name='v',
docker_volume_configuration=ecs.DockerVolumeConfiguration(
driver='local',
scope=ecs.Scope.
SHARED, # So it persists between beyond the lifetime of the task
autoprovision=True))
])
container = task_definition.add_container(
'barbosa',
image=ecs.ContainerImage.from_registry(
'sigp/lighthouse'), # TODO: configurable
command=[
'--network pyrmont beacon', '--http', '--http-address 0.0.0.0'
],
cpu=4 * 1024, # 4vCPU -> 8-30GB memory
container_name='Pirate',
logging=ecs.LogDrivers.aws_logs(stream_prefix='pirate'),
memory_reservation_mib=16 * 1024, # 16GB
port_mappings=[
ecs.PortMapping(container_port=9000,
host_port=9000), # protocol=TCP
ecs.PortMapping(container_port=5052,
host_port=5052), # protocol=TCP
],
secrets={
# TODO: populate these with our keys
},
user='******')
service = ecs_patterns.ApplicationLoadBalancedEc2Service(
self,
"Pirateship",
# certificate=???, # TODO: set up the public domain
cluster=cluster,
desired_count=1,
# domain_name='ethpirates.com',
# domain_zone=???, # TODO: set up the public domain
public_load_balancer=True,
task_definition=task_definition)
def __init__(self, scope: core.Construct, construct_id: str,
identifier: str, user_arn: str, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
bucket = aws_s3.Bucket(
self,
id=f"flow-storage-bucket-{identifier}",
auto_delete_objects=True,
removal_policy=core.RemovalPolicy.DESTROY,
)
cache_bucket = aws_s3.Bucket(
self,
id=f"flow-cache-bucket-{identifier}",
auto_delete_objects=True,
removal_policy=core.RemovalPolicy.DESTROY,
)
vpc = aws_ec2.Vpc(
self,
id=f"bakery-vpc-{identifier}",
cidr="10.0.0.0/16",
enable_dns_hostnames=True,
enable_dns_support=True,
nat_gateways=0,
subnet_configuration=[
aws_ec2.SubnetConfiguration(
name="PublicSubnet1",
subnet_type=aws_ec2.SubnetType.PUBLIC)
],
max_azs=3,
)
security_group = aws_ec2.SecurityGroup(
self,
id=f"security-group-{identifier}",
vpc=vpc,
)
security_group.add_ingress_rule(aws_ec2.Peer.any_ipv4(),
aws_ec2.Port.tcp_range(8786, 8787))
security_group.add_ingress_rule(aws_ec2.Peer.any_ipv6(),
aws_ec2.Port.tcp_range(8786, 8787))
security_group.add_ingress_rule(security_group, aws_ec2.Port.all_tcp())
cluster = aws_ecs.Cluster(
self,
id=f"bakery-cluster-{identifier}",
vpc=vpc,
)
ecs_task_role = aws_iam.Role(
self,
id=f"prefect-ecs-task-role-{identifier}",
assumed_by=aws_iam.ServicePrincipal(
service="ecs-tasks.amazonaws.com"),
)
ecs_task_role.add_to_policy(
aws_iam.PolicyStatement(
resources=["*"],
actions=[
"iam:ListRoleTags",
],
))
ecs_task_role.add_to_policy(
aws_iam.PolicyStatement(
resources=[
f"arn:aws:logs:{self.region}:{self.account}:log-group:dask-ecs*"
],
actions=[
"logs:GetLogEvents",
],
))
bucket.grant_read_write(ecs_task_role)
cache_bucket.grant_read_write(ecs_task_role)
bucket_user = aws_iam.User.from_user_arn(
self,
id=f"prefect-bucket-user-{identifier}",
user_arn=user_arn,
)
cache_bucket.add_to_resource_policy(
aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=["s3:*Object"],
resources=[f"{cache_bucket.bucket_arn}/*"],
principals=[bucket_user],
))
cache_bucket.add_to_resource_policy(
aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=["s3:ListBucket"],
resources=[cache_bucket.bucket_arn],
principals=[bucket_user],
))
bucket.add_to_resource_policy(
aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=["s3:*Object"],
resources=[f"{bucket.bucket_arn}/*"],
principals=[bucket_user],
))
bucket.add_to_resource_policy(
aws_iam.PolicyStatement(
effect=aws_iam.Effect.ALLOW,
actions=["s3:ListBucket"],
resources=[bucket.bucket_arn],
principals=[bucket_user],
))
ecs_task_role.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
managed_policy_name="AmazonECS_FullAccess"))
prefect_ecs_agent_task_definition = aws_ecs.FargateTaskDefinition(
self,
id=f"prefect-ecs-agent-task-definition-{identifier}",
cpu=512,
memory_limit_mib=2048,
task_role=ecs_task_role,
)
runner_token_secret = aws_ecs.Secret.from_secrets_manager(
secret=aws_secretsmanager.Secret.from_secret_arn(
self,
id=f"prefect-cloud-runner-token-{identifier}",
secret_arn=os.environ["RUNNER_TOKEN_SECRET_ARN"],
),
field="RUNNER_TOKEN",
)
prefect_ecs_agent_task_definition.add_container(
id=f"prefect-ecs-agent-task-container-{identifier}",
image=aws_ecs.ContainerImage.from_registry(
os.environ["BAKERY_IMAGE"]),
port_mappings=[
aws_ecs.PortMapping(container_port=8080, host_port=8080)
],
logging=aws_ecs.LogDriver.aws_logs(stream_prefix="ecs-agent"),
environment={
"PREFECT__CLOUD__AGENT__LABELS":
os.environ["PREFECT__CLOUD__AGENT__LABELS"]
},
secrets={"PREFECT__CLOUD__AGENT__AUTH_TOKEN": runner_token_secret},
command=[
"prefect",
"agent",
"ecs",
"start",
"--agent-address",
"http://:8080",
"--cluster",
cluster.cluster_arn,
"--task-role-arn",
ecs_task_role.role_arn,
],
)
prefect_ecs_agent_service = aws_ecs_patterns.ApplicationLoadBalancedFargateService(
self,
id=f"prefect-ecs-agent-service-{identifier}",
assign_public_ip=True,
platform_version=aws_ecs.FargatePlatformVersion.LATEST,
desired_count=1,
task_definition=prefect_ecs_agent_task_definition,
cluster=cluster,
propagate_tags=aws_ecs.PropagatedTagSource.SERVICE,
)
prefect_ecs_agent_service.target_group.configure_health_check(
path="/api/health", port="8080")
ecs_task_execution_role = aws_iam.Role(
self,
id=f"prefect-ecs-task-execution-role-{identifier}",
assumed_by=aws_iam.ServicePrincipal("ecs-tasks.amazonaws.com"),
managed_policies=[
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
"service-role/AmazonECSTaskExecutionRolePolicy"),
],
)
core.CfnOutput(
self,
id=f"prefect-task-role-arn-output-{identifier}",
export_name=f"prefect-task-role-arn-output-{identifier}",
value=ecs_task_role.role_arn,
)
core.CfnOutput(
self,
id=f"prefect-cluster-arn-output-{identifier}",
export_name=f"prefect-cluster-arn-output-{identifier}",
value=cluster.cluster_arn,
)
core.CfnOutput(
self,
id=f"prefect-storage-bucket-name-output-{identifier}",
export_name=f"prefect-storage-bucket-name-output-{identifier}",
value=bucket.bucket_name,
)
core.CfnOutput(
self,
id=f"prefect-cache-bucket-name-output-{identifier}",
export_name=f"prefect-cache-bucket-name-output-{identifier}",
value=cache_bucket.bucket_name,
)
core.CfnOutput(
self,
id=f"prefect-task-execution-role-arn-output-{identifier}",
export_name=f"prefect-task-execution-role-arn-output-{identifier}",
value=ecs_task_execution_role.role_arn,
)
core.CfnOutput(
self,
id=f"prefect-security-group-output-{identifier}",
export_name=f"prefect-security-group-output-{identifier}",
value=security_group.security_group_id,
)
core.CfnOutput(
self,
id=f"prefect-vpc-output-{identifier}",
export_name=f"prefect-vpc-output-{identifier}",
value=vpc.vpc_id,
)
def __init__(self, scope: core.Construct, id: str, region, domain,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
# VPC , we need one for ECS cluster ( sadly )
vpc = ec2.Vpc.from_lookup(self, 'vpc', is_default=True)
cluster = ecs.Cluster(self, 'Cluster', vpc=vpc)
# Route53 & SSL Certificate
zone = dns.HostedZone(self, "dns", zone_name=domain)
dns.ARecord(self,
'MinecraftRecord',
zone=zone,
record_name='minecraft',
target=dns.RecordTarget(values=['1.2.3.4']))
cert = acm.Certificate(
self,
'cert',
domain_name=f'*.{domain}',
validation=acm.CertificateValidation.from_dns(zone))
# ECS ( Cluster, EFS, Task Def)
fs = efs.FileSystem(self,
'EFS',
vpc=vpc,
removal_policy=core.RemovalPolicy.DESTROY)
task_definition = ecs.FargateTaskDefinition(self,
'TaskDef',
memory_limit_mib=4096,
cpu=1024)
container = task_definition.add_container(
'MinecraftDocker',
image=ecs.ContainerImage.from_registry('darevee/minecraft-aws'),
logging=ecs.AwsLogDriver(stream_prefix='Minecraf'),
cpu=1024,
memory_limit_mib=4096)
container.add_mount_points(
ecs.MountPoint(container_path='/minecraft',
source_volume='efs',
read_only=False))
cfn_task = container.task_definition.node.default_child
cfn_task.add_property_override("Volumes", [{
"EFSVolumeConfiguration": {
"FilesystemId": fs.file_system_id
},
"Name": "efs"
}])
container.add_port_mappings(ecs.PortMapping(container_port=25565))
sg = ec2.SecurityGroup(self, 'sg', vpc=vpc)
sg.add_ingress_rule(peer=ec2.Peer.any_ipv4(),
connection=ec2.Port.tcp(25565),
description='Minecraft Access')
sg.add_ingress_rule(peer=ec2.Peer.any_ipv4(),
connection=ec2.Port.tcp(25575),
description='RCONN Access')
fs.connections.allow_default_port_from(sg)
subnets = ",".join(vpc.select_subnets().subnet_ids)
# Cognito ( For ApiGW Authentication)
userpool = cognito.UserPool(
self,
'UserPool',
user_invitation=cognito.UserInvitationConfig(
email_body=
"""No cześć {username}, zostałeś zaproszony do naszego Minecraft!
Twoje tymczasowe hasło to {####}
""",
email_subject="Zaproszenie do minecrafta"))
# APIGW (Gateway, Lambdas, S3 Static content)
# Lambda Starter
starter = _lambda.Function(self,
'Starter',
runtime=_lambda.Runtime.PYTHON_3_8,
handler='index.lambda_handler',
code=_lambda.Code.asset('lambda/starter'),
timeout=core.Duration.seconds(300),
environment={
'cluster': cluster.cluster_name,
'subnets': subnets,
'security_groups': sg.security_group_id,
'task_definition':
task_definition.task_definition_arn,
'region': region,
'zone_id': zone.hosted_zone_id,
'domain': domain
})
starter.add_to_role_policy(
iam.PolicyStatement(effect=iam.Effect.ALLOW,
resources=["*"],
actions=[
"ecs:ListTasks", "ecs:DescribeTasks",
"ec2:DescribeNetworkInterfaces"
]))
starter.add_to_role_policy(
iam.PolicyStatement(
effect=iam.Effect.ALLOW,
resources=[task_definition.task_definition_arn],
actions=["ecs:RunTask", "ecs:DescribeTasks"]))
starter.add_to_role_policy(
iam.PolicyStatement(effect=iam.Effect.ALLOW,
resources=[
task_definition.task_role.role_arn,
task_definition.execution_role.role_arn
],
actions=["iam:PassRole"]))
starter.add_to_role_policy(
iam.PolicyStatement(effect=iam.Effect.ALLOW,
resources=[zone.hosted_zone_arn],
actions=["route53:ChangeResourceRecordSets"]))
# S3 static webpage
bucket = s3.Bucket(self,
"S3WWW",
public_read_access=True,
removal_policy=core.RemovalPolicy.DESTROY,
website_index_document="index.html")
s3d.BucketDeployment(self,
"S3Deploy",
destination_bucket=bucket,
sources=[s3d.Source.asset("static_page")])
status = _lambda.Function(self,
'Status',
runtime=_lambda.Runtime.PYTHON_3_8,
handler='index.lambda_handler',
code=_lambda.Code.asset('lambda/status'),
environment={
'url': f"https://minecrafter.{domain}",
'domain': domain
})
# ApiGW
apigw = api.LambdaRestApi(self,
'ApiGW',
handler=status,
proxy=False,
domain_name={
"domain_name": f'minecrafter.{domain}',
"certificate": cert
},
default_cors_preflight_options={
"allow_origins": api.Cors.ALL_ORIGINS,
"allow_methods": api.Cors.ALL_METHODS
})
start = apigw.root.add_resource('start')
start.add_method('ANY', integration=api.LambdaIntegration(starter))
apigw.root.add_method('ANY')
dns.ARecord(self,
'PointDNSToApiGW',
zone=zone,
target=dns.RecordTarget.from_alias(
targets.ApiGateway(apigw)),
record_name=f"minecrafter.{domain}")
def __init__(self, scope, id, vpc, **kwarg) -> None:
super().__init__(scope, id, **kwarg)
# cluster creation
cluster = aws_ecs.Cluster(self, 'fargate-service-autoscaling', vpc=vpc)
# service discovery creation
sd_namespace = cluster.add_default_cloud_map_namespace(
name="svc.test.local", vpc=vpc)
aws_servicediscovery.Service(self,
"svc.test.local",
namespace=sd_namespace,
load_balancer=True)
# ECS role creation
ecs_principle = aws_iam.ServicePrincipal('ecs-tasks.amazonaws.com')
execution_role = aws_iam.Role(self,
'execution-role',
assumed_by=ecs_principle)
execution_role.add_managed_policy(
policy=aws_iam.ManagedPolicy.from_aws_managed_policy_name(
managed_policy_name="AWSCodeDeployRoleForECS"))
execution_role.add_managed_policy(
policy=aws_iam.ManagedPolicy.from_aws_managed_policy_name(
managed_policy_name="AmazonEC2ContainerRegistryReadOnly"))
task_role = aws_iam.Role(self, 'task-role', assumed_by=ecs_principle)
task_role.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
managed_policy_name="AWSAppMeshEnvoyAccess"))
task_role.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
managed_policy_name="CloudWatchFullAccess"))
task_role.add_managed_policy(
aws_iam.ManagedPolicy.from_aws_managed_policy_name(
managed_policy_name="AWSXRayDaemonWriteAccess"))
# envoy ecr object
envoy_ecr = aws_ecr.Repository.from_repository_attributes(
self,
'aws-envoy',
repository_arn=core.Stack.of(self).format_arn(
service="ecr",
resource="aws-appmesh-envoy",
account="840364872350"),
repository_name="aws-appmesh-envoy")
# colorteller image builds
gateway_image = aws_ecs.ContainerImage.from_asset("./src/gateway")
colorteller_image = aws_ecs.ContainerImage.from_asset(
"./src/colorteller")
# logging setup
log_group = aws_logs.LogGroup(self,
"/ecs/colorteller",
retention=aws_logs.RetentionDays.ONE_DAY)
gateway_ecs_logs = aws_ecs.LogDriver.aws_logs(log_group=log_group,
stream_prefix="gateway")
black_ecs_logs = aws_ecs.LogDriver.aws_logs(log_group=log_group,
stream_prefix="black")
blue_ecs_logs = aws_ecs.LogDriver.aws_logs(log_group=log_group,
stream_prefix="blue")
red_ecs_logs = aws_ecs.LogDriver.aws_logs(log_group=log_group,
stream_prefix="red")
white_ecs_logs = aws_ecs.LogDriver.aws_logs(log_group=log_group,
stream_prefix="white")
tcpecho_ecs_logs = aws_ecs.LogDriver.aws_logs(log_group=log_group,
stream_prefix="tcpecho")
# Mesh properties setup
mesh_properties = aws_ecs.AppMeshProxyConfigurationProps(
app_ports=[9080],
proxy_egress_port=15001,
proxy_ingress_port=15000,
egress_ignored_i_ps=["169.254.170.2", "169.254.169.254"],
ignored_uid=1337)
# envoy ulimit defaults
envoy_ulimit = aws_ecs.Ulimit(hard_limit=15000,
name=aws_ecs.UlimitName.NOFILE,
soft_limit=15000)
# fargate task def - requires envoy proxy container, gateway app and x-ray
gateway_task_def = aws_ecs.FargateTaskDefinition(
self,
"gateway_task",
cpu=256,
memory_limit_mib=512,
execution_role=execution_role,
task_role=task_role,
proxy_configuration=aws_ecs.AppMeshProxyConfiguration(
container_name="envoy", properties=mesh_properties))
gateway_task_def.add_container("gateway",
logging=gateway_ecs_logs,
environment={
"SERVER_PORT":
"9080",
"STAGE":
"v1.1",
"COLOR_TELLER_ENDPOINT":
"colorteller.svc.test.local:9080",
"TCP_ECHO_ENDPOINT":
"tcpecho.svc.test.local:2701"
},
image=gateway_image).add_port_mappings(
aws_ecs.PortMapping(
container_port=9080,
protocol=aws_ecs.Protocol.TCP))
gateway_task_def.add_container(
"xray",
logging=gateway_ecs_logs,
image=aws_ecs.ContainerImage.from_registry(
"amazon/aws-xray-daemon")).add_port_mappings(
aws_ecs.PortMapping(container_port=2000,
protocol=aws_ecs.Protocol.UDP))
gateway_envoy_container = gateway_task_def.add_container(
"envoy",
logging=gateway_ecs_logs,
environment={
"ENVOY_LOG_LEVEL": "debug",
"ENABLE_ENVOY_XRAY_TRACING": "1",
"ENABLE_ENVOY_STATS_TAGS": "1",
"APPMESH_VIRTUAL_NODE_NAME":
"mesh/ColorTellerAppMesh/virtualNode/gateway",
"APPMESH_XDS_ENDPOINT": ""
},
image=aws_ecs.ContainerImage.from_ecr_repository(
repository=envoy_ecr, tag="v1.12.1.1-prod"),
essential=True,
user="******",
health_check=aws_ecs.HealthCheck(command=[
"CMD-SHELL",
"curl -s http://localhost:9901/ready |grep -q LIVE"
]))
gateway_envoy_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9901,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15000,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15001,
protocol=aws_ecs.Protocol.TCP),
)
gateway_envoy_container.add_ulimits(envoy_ulimit)
# black task def - requires color app, envoy and x-ray containers
black_task_def = aws_ecs.FargateTaskDefinition(
self,
"black-task",
cpu=256,
family="black",
memory_limit_mib=512,
execution_role=execution_role,
task_role=task_role,
proxy_configuration=aws_ecs.AppMeshProxyConfiguration(
container_name="envoy", properties=mesh_properties))
black_envoy_container = black_task_def.add_container(
"envoy",
logging=black_ecs_logs,
environment={
"ENVOY_LOG_LEVEL": "info",
"ENABLE_ENVOY_XRAY_TRACING": "1",
"ENABLE_ENVOY_STATS_TAGS": "1",
"APPMESH_VIRTUAL_NODE_NAME":
"mesh/ColorTellerAppMesh/virtualNode/black",
"APPMESH_XDS_ENDPOINT": ""
},
image=aws_ecs.ContainerImage.from_ecr_repository(
repository=envoy_ecr, tag="v1.12.1.1-prod"),
essential=True,
user="******",
health_check=aws_ecs.HealthCheck(command=[
"CMD-SHELL",
"curl -s http://localhost:9901/ready |grep -q LIVE"
]))
black_envoy_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9901,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15000,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15001,
protocol=aws_ecs.Protocol.TCP),
)
black_envoy_container.add_ulimits(envoy_ulimit)
black_app_container = black_task_def.add_container(
"black",
logging=black_ecs_logs,
environment={
"COLOR": "black",
"SERVER_PORT": "9080",
"STAGE": "v1.1"
},
image=colorteller_image)
black_app_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9080,
protocol=aws_ecs.Protocol.TCP))
black_app_container.add_container_dependencies(
aws_ecs.ContainerDependency(
container=black_envoy_container,
condition=aws_ecs.ContainerDependencyCondition.HEALTHY))
black_task_def.add_container(
"xray",
logging=black_ecs_logs,
image=aws_ecs.ContainerImage.from_registry(
"amazon/aws-xray-daemon")).add_port_mappings(
aws_ecs.PortMapping(container_port=2000,
protocol=aws_ecs.Protocol.UDP))
# blue task def (same as black)
blue_task_def = aws_ecs.FargateTaskDefinition(
self,
"blue-task",
cpu=256,
family="blue",
memory_limit_mib=512,
execution_role=execution_role,
task_role=task_role,
proxy_configuration=aws_ecs.AppMeshProxyConfiguration(
container_name="envoy", properties=mesh_properties))
blue_envoy_container = blue_task_def.add_container(
"envoy",
logging=blue_ecs_logs,
environment={
"ENVOY_LOG_LEVEL": "info",
"ENABLE_ENVOY_XRAY_TRACING": "1",
"ENABLE_ENVOY_STATS_TAGS": "1",
"APPMESH_VIRTUAL_NODE_NAME":
"mesh/ColorTellerAppMesh/virtualNode/blue",
"APPMESH_XDS_ENDPOINT": ""
},
image=aws_ecs.ContainerImage.from_ecr_repository(
repository=envoy_ecr, tag="v1.12.1.1-prod"),
essential=True,
user="******",
health_check=aws_ecs.HealthCheck(command=[
"CMD-SHELL",
"curl -s http://localhost:9901/ready |grep -q LIVE"
]))
blue_envoy_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9901,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15000,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15001,
protocol=aws_ecs.Protocol.TCP),
)
blue_envoy_container.add_ulimits(envoy_ulimit)
blue_app_container = blue_task_def.add_container(
"blue",
logging=blue_ecs_logs,
environment={
"COLOR": "black",
"SERVER_PORT": "9080",
"STAGE": "v1.1"
},
image=colorteller_image)
blue_app_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9080,
protocol=aws_ecs.Protocol.TCP))
blue_app_container.add_container_dependencies(
aws_ecs.ContainerDependency(
container=blue_envoy_container,
condition=aws_ecs.ContainerDependencyCondition.HEALTHY))
blue_task_def.add_container(
"xray",
logging=blue_ecs_logs,
image=aws_ecs.ContainerImage.from_registry(
"amazon/aws-xray-daemon")).add_port_mappings(
aws_ecs.PortMapping(container_port=2000,
protocol=aws_ecs.Protocol.UDP))
# red task def (same as black)
red_task_def = aws_ecs.FargateTaskDefinition(
self,
"red-task",
cpu=256,
family="red-task",
memory_limit_mib=512,
execution_role=execution_role,
task_role=task_role,
proxy_configuration=aws_ecs.AppMeshProxyConfiguration(
container_name="envoy", properties=mesh_properties))
red_envoy_container = red_task_def.add_container(
"envoy",
logging=red_ecs_logs,
environment={
"ENVOY_LOG_LEVEL": "info",
"ENABLE_ENVOY_XRAY_TRACING": "1",
"ENABLE_ENVOY_STATS_TAGS": "1",
"APPMESH_VIRTUAL_NODE_NAME":
"mesh/ColorTellerAppMesh/virtualNode/red",
"APPMESH_XDS_ENDPOINT": ""
},
image=aws_ecs.ContainerImage.from_ecr_repository(
repository=envoy_ecr, tag="v1.12.1.1-prod"),
essential=True,
user="******",
health_check=aws_ecs.HealthCheck(command=[
"CMD-SHELL",
"curl -s http://localhost:9901/ready |grep -q LIVE"
]))
red_envoy_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9901,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15000,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15001,
protocol=aws_ecs.Protocol.TCP),
)
red_envoy_container.add_ulimits(envoy_ulimit)
red_app_container = red_task_def.add_container("red",
logging=red_ecs_logs,
environment={
"COLOR": "red",
"SERVER_PORT":
"9080",
"STAGE": "v1.2"
},
image=colorteller_image)
red_app_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9080,
protocol=aws_ecs.Protocol.TCP))
red_app_container.add_container_dependencies(
aws_ecs.ContainerDependency(
container=red_envoy_container,
condition=aws_ecs.ContainerDependencyCondition.HEALTHY))
red_task_def.add_container(
"xray",
logging=red_ecs_logs,
image=aws_ecs.ContainerImage.from_registry(
"amazon/aws-xray-daemon")).add_port_mappings(
aws_ecs.PortMapping(container_port=2000,
protocol=aws_ecs.Protocol.UDP))
# white task def (same as black) - colorteller.svc.test.local points to this service (because containers need something to resolve to or they fail)
white_task_def = aws_ecs.FargateTaskDefinition(
self,
"white-task",
cpu=256,
family="white",
memory_limit_mib=512,
execution_role=execution_role,
task_role=task_role,
proxy_configuration=aws_ecs.AppMeshProxyConfiguration(
container_name="envoy", properties=mesh_properties))
white_envoy_container = white_task_def.add_container(
"envoy",
logging=white_ecs_logs,
environment={
"ENVOY_LOG_LEVEL": "info",
"ENABLE_ENVOY_XRAY_TRACING": "1",
"ENABLE_ENVOY_STATS_TAGS": "1",
"APPMESH_VIRTUAL_NODE_NAME":
"mesh/ColorTellerAppMesh/virtualNode/white",
"APPMESH_XDS_ENDPOINT": ""
},
image=aws_ecs.ContainerImage.from_ecr_repository(
repository=envoy_ecr, tag="v1.12.1.1-prod"),
essential=True,
user="******",
health_check=aws_ecs.HealthCheck(command=[
"CMD-SHELL",
"curl -s http://localhost:9901/ready |grep -q LIVE"
]))
white_envoy_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9901,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15000,
protocol=aws_ecs.Protocol.TCP),
aws_ecs.PortMapping(container_port=15001,
protocol=aws_ecs.Protocol.TCP),
)
white_envoy_container.add_ulimits(envoy_ulimit)
white_app_container = white_task_def.add_container(
"white",
logging=white_ecs_logs,
environment={
"COLOR": "white",
"SERVER_PORT": "9080",
"STAGE": "v1.1"
},
image=colorteller_image)
white_app_container.add_port_mappings(
aws_ecs.PortMapping(container_port=9080,
protocol=aws_ecs.Protocol.TCP))
white_app_container.add_container_dependencies(
aws_ecs.ContainerDependency(
container=white_envoy_container,
condition=aws_ecs.ContainerDependencyCondition.HEALTHY))
white_task_def.add_container(
"xray",
logging=white_ecs_logs,
image=aws_ecs.ContainerImage.from_registry(
"amazon/aws-xray-daemon")).add_port_mappings(
aws_ecs.PortMapping(container_port=2000,
protocol=aws_ecs.Protocol.UDP))
# tcpecho service (external docker image)
tcpecho_task_def = aws_ecs.FargateTaskDefinition(
self,
'tcpecho-tasks',
cpu=256,
family="tcpecho",
memory_limit_mib=512,
execution_role=execution_role,
task_role=task_role)
tcpecho_task_def.add_container(
"tcpecho",
logging=tcpecho_ecs_logs,
environment={
"TCP_PORT": "2701",
"NODE_NAME": "mesh/ColorTellerAppMesh/virtualNode/echo"
},
image=aws_ecs.ContainerImage.from_registry("cjimti/go-echo"),
essential=True,
).add_port_mappings(
aws_ecs.PortMapping(container_port=2701,
protocol=aws_ecs.Protocol.TCP))
# adds task defs to fargate services - adds security group access to local vpc cidr block
# all the services are treated the same way
gateway_fargate_service = aws_ecs.FargateService(
self,
"gateway",
cluster=cluster,
task_definition=gateway_task_def,
desired_count=2,
cloud_map_options=aws_ecs.CloudMapOptions(
cloud_map_namespace=sd_namespace, name="gateway"))
gateway_fargate_service.connections.security_groups[
0].add_ingress_rule(peer=aws_ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=aws_ec2.Port.tcp(9080),
description="Allow http inbound from VPC")
black_colorteller_fargate_service = aws_ecs.FargateService(
self,
"black",
cluster=cluster,
task_definition=black_task_def,
desired_count=2,
cloud_map_options=aws_ecs.CloudMapOptions(
cloud_map_namespace=sd_namespace, name="black"))
black_colorteller_fargate_service.connections.security_groups[
0].add_ingress_rule(peer=aws_ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=aws_ec2.Port.tcp(9080),
description="Allow http inbound from VPC")
blue_colorteller_fargate_service = aws_ecs.FargateService(
self,
"blue",
cluster=cluster,
task_definition=blue_task_def,
desired_count=2,
cloud_map_options=aws_ecs.CloudMapOptions(
cloud_map_namespace=sd_namespace, name="blue"))
blue_colorteller_fargate_service.connections.security_groups[
0].add_ingress_rule(peer=aws_ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=aws_ec2.Port.tcp(9080),
description="Allow http inbound from VPC")
red_colorteller_fargate_service = aws_ecs.FargateService(
self,
"red",
cluster=cluster,
task_definition=red_task_def,
desired_count=2,
cloud_map_options=aws_ecs.CloudMapOptions(
cloud_map_namespace=sd_namespace, name="red"))
red_colorteller_fargate_service.connections.security_groups[
0].add_ingress_rule(peer=aws_ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=aws_ec2.Port.tcp(9080),
description="Allow http inbound from VPC")
white_colorteller_fargate_service = aws_ecs.FargateService(
self,
"white",
cluster=cluster,
task_definition=white_task_def,
desired_count=2,
cloud_map_options=aws_ecs.CloudMapOptions(
cloud_map_namespace=sd_namespace, name="colorteller"))
white_colorteller_fargate_service.connections.security_groups[
0].add_ingress_rule(peer=aws_ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=aws_ec2.Port.tcp(9080),
description="Allow http inbound from VPC")
echo_fargate_service = aws_ecs.FargateService(
self,
"tcpecho",
cluster=cluster,
task_definition=tcpecho_task_def,
desired_count=2,
cloud_map_options=aws_ecs.CloudMapOptions(
cloud_map_namespace=sd_namespace, name="tcpecho"))
echo_fargate_service.connections.security_groups[0].add_ingress_rule(
peer=aws_ec2.Peer.ipv4(vpc.vpc_cidr_block),
connection=aws_ec2.Port.tcp(2701),
description="Allow http inbound from VPC")
# adds autoscaling policies to all services
for service in [
black_colorteller_fargate_service,
blue_colorteller_fargate_service,
red_colorteller_fargate_service,
white_colorteller_fargate_service, gateway_fargate_service,
echo_fargate_service
]:
try:
scaling = service.service.auto_scale_task_count(max_capacity=2)
except AttributeError:
scaling = service.auto_scale_task_count(max_capacity=2)
scaling.scale_on_cpu_utilization(
"CpuScaling",
target_utilization_percent=50,
scale_in_cooldown=core.Duration.seconds(60),
scale_out_cooldown=core.Duration.seconds(60),
)
# configure loadbalancer to listen on port 80 and add targets to gateway and echo apps
load_balancer = aws_elasticloadbalancingv2.ApplicationLoadBalancer(
self, "lb", vpc=vpc, internet_facing=True)
listener = load_balancer.add_listener("PublicListener",
port=80,
open=True)
health_check = aws_elasticloadbalancingv2.HealthCheck(
interval=core.Duration.seconds(60),
path="/ping",
port="9080",
timeout=core.Duration.seconds(5))
# attach ALB to ECS service
listener.add_targets(
"gateway",
port=80,
targets=[gateway_fargate_service, echo_fargate_service],
health_check=health_check,
)
# outputs of ALB and cluster
core.CfnOutput(self,
"LoadBalancerDNS",
value=load_balancer.load_balancer_dns_name)
core.CfnOutput(self, "ClusterName", value=cluster.cluster_name)
instance_type=ec2.InstanceType("t2.micro"))
# Create a task definition with its own elastic network interface
task_definition = ecs.Ec2TaskDefinition(
stack,
"nginx-awsvpc",
network_mode=ecs.NetworkMode.AWS_VPC,
)
web_container = task_definition.add_container(
"nginx",
image=ecs.ContainerImage.from_registry("nginx:latest"),
cpu=100,
memory_limit_mib=256,
essential=True)
port_mapping = ecs.PortMapping(container_port=80, protocol=ecs.Protocol.TCP)
web_container.add_port_mappings(port_mapping)
# Create a security group that allows HTTP traffic on port 80 for our
# containers without modifying the security group on the instance
security_group = ec2.SecurityGroup(stack,
"nginx--7623",
vpc=vpc,
allow_all_outbound=False)
security_group.add_ingress_rule(ec2.Peer.any_ipv4(), ec2.Port.tcp(80))
# Create the service
service = ecs.Ec2Service(stack,
"awsvpc-ecs-demo-service",
cluster=cluster,
task_definition=task_definition,
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# ******* Database table
audiobooksDB = aws_dynamodb.Table(
self,
"audiobooksDB",
partition_key=aws_dynamodb.Attribute(
name="id", type=aws_dynamodb.AttributeType.STRING),
read_capacity=2,
write_capacity=2,
billing_mode=aws_dynamodb.BillingMode.PROVISIONED)
# ******* Lambda functions
book_upload_lambda_function = aws_lambda.Function(
self,
"HandleBookUploadLambda",
handler='app.lambda_handler',
runtime=aws_lambda.Runtime.PYTHON_3_8,
code=aws_lambda.Code.from_asset(
'../Functions/handlers/handle_book_upload'))
polly_audio_lambda_function = aws_lambda.Function(
self,
"HandlePollyAudioLambda",
handler='app.lambda_handler',
runtime=aws_lambda.Runtime.PYTHON_3_8,
code=aws_lambda.Code.from_asset(
'../Functions/handlers/handle_polly_audio'),
timeout=core.Duration.seconds(120))
# ******* S3 upload buckets
BookUploadBucket = aws_s3.Bucket(self, "BookUploadBucket")
AudioUploadBucket = aws_s3.Bucket(self, "AudioUploadBucket")
VideoUploadBucket = aws_s3.Bucket(self, "VideoUploadBucket")
ImageUploadBucket = aws_s3.Bucket(self, "ImageUploadBucket")
# ******* Create S3 event source
book_upload_lambda_function.add_event_source(
S3EventSource(BookUploadBucket,
events=[aws_s3.EventType.OBJECT_CREATED],
filters=[{
"suffix": '.txt'
}]))
# ******* Create SNS topic
PollySNSTopic = aws_sns.Topic(self, "PollySNSTopic")
PollySNSTopic.add_subscription(
aws_sns_subscriptions.LambdaSubscription(
polly_audio_lambda_function))
# ******* Book function environment variables
book_upload_lambda_function.add_environment("TABLE_NAME",
audiobooksDB.table_name)
book_upload_lambda_function.add_environment(
"AUDIO_S3_BUCKET", AudioUploadBucket.bucket_name)
book_upload_lambda_function.add_environment("SNS_TOPIC",
PollySNSTopic.topic_arn)
# ******* Book function permissions
audiobooksDB.grant_write_data(book_upload_lambda_function)
BookUploadBucket.grant_read(book_upload_lambda_function)
AudioUploadBucket.grant_write(book_upload_lambda_function)
PollySNSTopic.grant_publish(book_upload_lambda_function)
book_upload_lambda_function.add_to_role_policy(
aws_iam.PolicyStatement(actions=["polly:*"], resources=["*"]))
# ******* Fargate container permissions
role = aws_iam.Role(
self,
"FargateContainerRole",
assumed_by=aws_iam.ServicePrincipal("ecs-tasks.amazonaws.com"))
role.add_to_policy(
aws_iam.PolicyStatement(
actions=["s3:PutObject"],
resources=[VideoUploadBucket.bucket_arn + "/*"]))
role.add_to_policy(
aws_iam.PolicyStatement(
actions=["s3:GetObject"],
resources=[AudioUploadBucket.bucket_arn + "/*"]))
role.add_to_policy(
aws_iam.PolicyStatement(
actions=["s3:GetObject"],
resources=[ImageUploadBucket.bucket_arn + "/*"]))
# ******* Fargate container
vpc = aws_ec2.Vpc(self, "CdkFargateVpc", max_azs=2)
cluster = aws_ecs.Cluster(self, 'FargateCluster', vpc=vpc)
image = aws_ecs.ContainerImage.from_asset(
"../Functions/ECSContainerFiles")
task_definition = aws_ecs.FargateTaskDefinition(
self,
"FargateContainerTaskDefinition",
execution_role=role,
task_role=role,
cpu=1024,
memory_limit_mib=3072)
port_mapping = aws_ecs.PortMapping(container_port=80, host_port=80)
container = task_definition.add_container(
"Container",
image=image,
logging=aws_ecs.AwsLogDriver(
stream_prefix="videoProcessingContainer"))
container.add_port_mappings(port_mapping)
# ******* Audio function environment variables
polly_audio_lambda_function.add_environment(
"VIDEO_S3_BUCKET", VideoUploadBucket.bucket_name)
polly_audio_lambda_function.add_environment(
"TASK_DEFINITION_ARN", task_definition.task_definition_arn)
polly_audio_lambda_function.add_environment("CLUSTER_ARN",
cluster.cluster_arn)
polly_audio_lambda_function.add_environment("TABLE_NAME",
audiobooksDB.table_name)
polly_audio_lambda_function.add_environment("CONTAINER_NAME",
container.container_name)
polly_audio_lambda_function.add_environment("VPC_ID", str(vpc.vpc_id))
# ******* Audio function permissions
audiobooksDB.grant_read_write_data(polly_audio_lambda_function)
polly_audio_lambda_function.add_to_role_policy(
aws_iam.PolicyStatement(actions=["ecs:RunTask"], resources=["*"]))
polly_audio_lambda_function.add_to_role_policy(
aws_iam.PolicyStatement(actions=["iam:PassRole"], resources=["*"]))
polly_audio_lambda_function.add_to_role_policy(
aws_iam.PolicyStatement(actions=["ec2:DescribeSubnets"],
resources=["*"]))
def __init__(self, scope: core.Construct, construct_id: str, props,
**kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_efs/FileSystem.html#aws_cdk.aws_efs.FileSystem.add_access_point
#Access points allow multiple WordPress file systems to live on the same EFS Volume
#The more data on an EFS volume the better it will preform
#This provides a high level of security while also optimizing performance
AccessPoint = props['file_system'].add_access_point(
"local-access-point",
path=f"/{props['IdentifierName']}",
create_acl=efs.Acl(
owner_uid=
"100", #https://aws.amazon.com/blogs/containers/developers-guide-to-using-amazon-efs-with-amazon-ecs-and-aws-fargate-part-2/
owner_gid="101",
permissions="0755"))
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/Cluster.html?highlight=ecs%20cluster#aws_cdk.aws_ecs.Cluster
cluster = ecs.Cluster(
self,
"Cluster",
vpc=props['vpc'],
container_insights=props['ecs_enable_container_insights'])
#Get needed secrets
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ssm/StringParameter.html?highlight=from_secure_string_parameter_attributes#aws_cdk.aws_ssm.StringParameter.from_secure_string_parameter_attributes
# ParameterStoreTest = ssm.StringParameter.from_secure_string_parameter_attributes( self, "ParameterStoreTest",
# parameter_name="", #Remeber, KMS permissions for task execution role for parameter store key!
# version=1
# )
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/Secret.html
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_secretsmanager/SecretStringGenerator.html
dbtest = {
"database_name": '',
"username": '',
"host": str(props["rds_instance"].cluster_endpoint.hostname)
}
WordpressDbConnectionSecret = secretsmanager.Secret(
self,
"WordpressDbConnectionSecret",
generate_secret_string=secretsmanager.SecretStringGenerator(
secret_string_template=json.dumps(dbtest),
generate_string_key="password",
exclude_characters='/"'))
#ToDO: Lambda call to populate secrets but only
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/Volume.html#aws_cdk.aws_ecs.Volume
WordpressEfsVolume = ecs.Volume(
name="efs",
efs_volume_configuration=ecs.EfsVolumeConfiguration(
file_system_id=props['file_system'].file_system_id,
transit_encryption="ENABLED",
authorization_config=ecs.AuthorizationConfig(
access_point_id=AccessPoint.access_point_id)))
#Create Task Definition
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/FargateTaskDefinition.html
WordpressTask = ecs.FargateTaskDefinition(
self,
"TaskDefinition",
cpu=props['ecs_cpu_size'],
memory_limit_mib=props['ecs_memory_size'],
volumes=[WordpressEfsVolume])
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/FargateTaskDefinition.html#aws_cdk.aws_ecs.FargateTaskDefinition.add_container
WordpressContainer = WordpressTask.add_container(
"Wordpress",
image=ecs.ContainerImage.from_ecr_repository(
repository=ecr.Repository.from_repository_name(
self,
"wpimage",
repository_name=props['ecs_container_repo_name']),
tag=props['ecs_container_tag']),
logging=ecs.LogDriver.aws_logs(
stream_prefix="container",
#log_group = "{props['environment']}/{props['unit']}/{props['application']}", #ToDo make sure I like log group name
log_retention=logs.RetentionDays(
props['ecs_log_retention_period'])),
environment={
"TROUBLESHOOTING_MODE_ENABLED":
props['TROUBLESHOOTING_MODE_ENABLED']
},
secrets={
# "PARAMETERSTORETEST": ecs.Secret.from_ssm_parameter( ParameterStoreTest ),
"DBHOST":
ecs.Secret.from_secrets_manager(WordpressDbConnectionSecret,
"host"),
"DBUSER":
ecs.Secret.from_secrets_manager(WordpressDbConnectionSecret,
"username"),
"DBUSERPASS":
ecs.Secret.from_secrets_manager(WordpressDbConnectionSecret,
"password"),
"DBNAME":
ecs.Secret.from_secrets_manager(WordpressDbConnectionSecret,
"database_name")
},
)
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/ContainerDefinition.html?highlight=add_port_mappings#aws_cdk.aws_ecs.ContainerDefinition.add_port_mappings
WordpressContainer.add_port_mappings(
ecs.PortMapping(container_port=80, protocol=ecs.Protocol.TCP))
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/ContainerDefinition.html?highlight=add_port_mappings#aws_cdk.aws_ecs.ContainerDefinition.add_port_mappings
#https://gist.github.com/phillippbertram/ee312b09c3982d76b9799653ed6d6201
WordpressContainer.add_mount_points(
ecs.MountPoint(container_path=props['ecs_container_efs_path'],
read_only=False,
source_volume=WordpressEfsVolume.name))
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs_patterns/ApplicationLoadBalancedFargateService.html
EcsService = ecs_patterns.ApplicationLoadBalancedFargateService(
self,
"EcsService",
cluster=cluster,
desired_count=props['ecs_container_desired_count'],
task_definition=WordpressTask,
enable_ecs_managed_tags=True,
public_load_balancer=True,
domain_name=props['domain_name'],
domain_zone=route53.HostedZone.from_hosted_zone_attributes(
self,
"hostedZone",
hosted_zone_id=props['domain_zone'],
zone_name=props['zone_name']),
listener_port=443,
redirect_http=True,
protocol=elasticloadbalancingv2.ApplicationProtocol("HTTPS"),
target_protocol=elasticloadbalancingv2.ApplicationProtocol("HTTP"),
platform_version=ecs.FargatePlatformVersion(
"VERSION1_4"), #Required for EFS
security_groups=[
ec2.SecurityGroup.from_security_group_id(
self,
"EcsToRdsSeurityGroup",
security_group_id=props["EcsToRdsSeurityGroup"].
security_group_id)
],
)
#https://gist.github.com/phillippbertram/ee312b09c3982d76b9799653ed6d6201
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ec2/Connections.html#aws_cdk.aws_ec2.Connections
EcsService.service.connections.allow_to(
props['file_system'],
ec2.Port.tcp(2049)) #Open hole to ECS in EFS SG
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_elasticloadbalancingv2/ApplicationTargetGroup.html#aws_cdk.aws_elasticloadbalancingv2.ApplicationTargetGroup.set_attribute
EcsService.target_group.set_attribute(
key="load_balancing.algorithm.type",
value="least_outstanding_requests")
EcsService.target_group.set_attribute(
key="deregistration_delay.timeout_seconds", value="30")
EcsService.target_group.configure_health_check(
healthy_threshold_count=5, #2-10
timeout=core.Duration.seconds(29),
)
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/FargateService.html#aws_cdk.aws_ecs.FargateService.auto_scale_task_count
ECSAutoScaler = EcsService.service.auto_scale_task_count(
max_capacity=props['ecs_container_max_count'],
min_capacity=props['ecs_container_min_count'])
#https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_ecs/ScalableTaskCount.html#aws_cdk.aws_ecs.ScalableTaskCount
ECSAutoScaler.scale_on_cpu_utilization(
"cpuScale",
target_utilization_percent=80,
scale_out_cooldown=core.Duration.seconds(30),
scale_in_cooldown=core.Duration.seconds(60))
ECSAutoScaler.scale_on_memory_utilization(
"memScale",
target_utilization_percent=80,
scale_out_cooldown=core.Duration.seconds(30),
scale_in_cooldown=core.Duration.seconds(60))
def __init__(self, scope: cdk.Construct, construct_id: str, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
# The code that defines your stack goes here
#############################################
#Import resorce and custom setting part start
#############################################
#cn-north-1
impRes={
"vpc":"vpc-0883083ff3a10c1ec",
"SvcSG":"sg-04d3b60e954c1c1ef",
"ALBSG":"sg-0b6d093d52d48bba9",
"ALBInternet":True,
"taskRole":"arn:aws-cn:iam::627484392488:role/ecsTaskExecutionRole",
"AlbSubnet":[
{"subnetId":"subnet-0d16fa0c969f234d3",
"routeTabId":"rtb-074c6b532f3030ad6"},
{"subnetId":"subnet-0f28a97c04d3b11cd",
"routeTabId":"rtb-074c6b532f3030ad6"}
],
#"SvcSubNet":[{"subnetId":"subnet-0d16fa0c969f234d3","routeTabId":"rtb-074c6b532f3030ad6"}]
"SvcSubNet":[{"subnetId":"subnet-0f28a97c04d3b11cd","routeTabId":"rtb-0587cc522717461cd"},
{"subnetId":"subnet-0d16fa0c969f234d3","routeTabId":"rtb-0587cc522717461cd"}]
}
newRes={
"TG":{"HealthPath":"/test.html","Port":80,"containPort":80},
"Listener":{"Port":80},
"TaskFamily":"tsFargate",
"ImageAsset1":{"DockfilePath":"httpd-ssh",
"BuildArgs":{"HTTP_PROXY":"http://YOUR_PROXY_SERVER:80"}
}
}
MyTaskDefinition=[{"Cpu":512,"MemLimitMib":1024}]
MyContainerDefinition=[
{"containerName":"MyContainer1",
"cpu":256,
"essential":True,
"portMappings":[ecs.PortMapping(container_port=80,host_port=80)], #"portMappings":[ecs.PortMapping(container_port=80,host_port=80),ecs.PortMapping(container_port=22,host_port=22)],
"environment":{"SSH_PUBLIC_KEY":"ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAAAgQC/alWrS+HH5KkPbso+Tsy+Z0WGTX5wvXvon5OacLMyOU3gj2mbbIifasXf/RadpuywuyW3uFirtRlPmSb5Q0PVLODku503Xettw+u6/Z22VV7F2ACgg4iHaCo2SR4L8saUrLLfcKXKr/WCn3w7uYcqGsXEcSFCCSZgn4BoZJqP4Q=="},
"LogMountPoint":["/usr/local/apache2/logs"]
}
]
MySvc={"AssignPubIp":True, "desiredCount":1}
#############################################
#Import resorce and custom setting part end
#############################################
#if you import external resource app you cannot set destory policy
#import VPC, Private Subnet, SG
vpc = ec2.Vpc.from_lookup(self, "vpc", vpc_id=impRes["vpc"])
#import SG
mysvcsg = ec2.SecurityGroup.from_security_group_id(self, "svcsg",
impRes["SvcSG"],
mutable=False)
#import Role
taskRole = iam.Role.from_role_arn(self, "TaskRole",impRes["taskRole"])
#create ALB
mytargetGrp = elbv2.ApplicationTargetGroup(self, "targetGrp",
target_type=elbv2.TargetType.IP,
port=newRes["TG"]["Port"],
vpc=vpc,
health_check=elbv2.HealthCheck(path=newRes["TG"]["HealthPath"]))
#target group cannot use .apply_removal_policy directly
cfn_mytargetGrp=mytargetGrp.node.find_child("Resource")
cfn_mytargetGrp.apply_removal_policy(cdk.RemovalPolicy.DESTROY)
#import public subnet for alb
albsubnets = [
ec2.Subnet.from_subnet_attributes(self,'albsubnetid1',
subnet_id = impRes["AlbSubnet"][0]["subnetId"],
route_table_id=impRes["AlbSubnet"][0]["routeTabId"]
),
ec2.Subnet.from_subnet_attributes(self,'albsubnetid2',
subnet_id = impRes["AlbSubnet"][1]["subnetId"],
route_table_id=impRes["AlbSubnet"][1]["routeTabId"]
)
]
vpc_subnets_selection = ec2.SubnetSelection(subnets=albsubnets)
#create new ALB
myalb = elbv2.ApplicationLoadBalancer(self, "ALBv2",
vpc=vpc,
security_group=ec2.SecurityGroup.from_security_group_id(self, "ALBSG", impRes["ALBSG"],mutable=False),
internet_facing=impRes["ALBInternet"],
vpc_subnets=vpc_subnets_selection)
myalb.apply_removal_policy(cdk.RemovalPolicy.DESTROY)
#create new ALB listener
myalblistener = elbv2.ApplicationListener(self, "ALBlistenter",
load_balancer=myalb,
port=newRes["Listener"]["Port"])
myalblistener.apply_removal_policy(cdk.RemovalPolicy.DESTROY)
myalblistener.add_target_groups("albaddtg", target_groups=[mytargetGrp])
#create new ECS Cluster
mycluster = ecs.Cluster(self, "cluster", vpc=vpc)
mycluster.apply_removal_policy(cdk.RemovalPolicy.DESTROY)
fargatetaskDefinition = ecs.FargateTaskDefinition(self, "fargatetaskDefinition",
cpu=MyTaskDefinition[0]["Cpu"],
memory_limit_mib=MyTaskDefinition[0]["MemLimitMib"],
execution_role=taskRole,
family=newRes["TaskFamily"],
task_role=taskRole)
#volumes=myEfsVols)
fargatetaskDefinition.apply_removal_policy(cdk.RemovalPolicy.DESTROY)
#defind docker image asset
dirname = os.path.dirname(__file__)
#for container 1 normally httpd
#create Image assent image will generated locally then push to ecr
asset1 = DockerImageAsset(self, "ImageAsset1",
directory=os.path.join(dirname, "../..", newRes["ImageAsset1"]["DockfilePath"]),
build_args=newRes["ImageAsset1"]["BuildArgs"]
)
#create container definition for task definition
MyContainer1def = ecs.ContainerDefinition(self, "MyContainer1def",
task_definition=fargatetaskDefinition,
linux_parameters=ecs.LinuxParameters(self,"LinuxPara1",init_process_enabled=True),
image=ecs.ContainerImage.from_ecr_repository(asset1.repository, asset1.image_uri.rpartition(":")[-1]),
container_name=MyContainerDefinition[0]["containerName"],
essential=MyContainerDefinition[0]["essential"],
port_mappings=MyContainerDefinition[0]["portMappings"],
environment=MyContainerDefinition[0]["environment"]
)
#import service private subnet
mysvcprivateSNs = [
ec2.Subnet.from_subnet_attributes(self,'svcprivateSN1',
subnet_id = impRes["SvcSubNet"][0]["subnetId"],
route_table_id=impRes["SvcSubNet"][0]["routeTabId"]),
ec2.Subnet.from_subnet_attributes(self,'svcprivateSN2',
subnet_id = impRes["SvcSubNet"][1]["subnetId"],
route_table_id=impRes["SvcSubNet"][1]["routeTabId"])
]
#create service
myservice=ecs.FargateService(self,"service",
task_definition=fargatetaskDefinition,
assign_public_ip=MySvc["AssignPubIp"],
platform_version=ecs.FargatePlatformVersion.VERSION1_4,
vpc_subnets=ec2.SubnetSelection(subnets=mysvcprivateSNs),
security_group=mysvcsg,
cluster=mycluster,
desired_count=MySvc["desiredCount"])
mytargetGrp.add_target(myservice.load_balancer_target(container_name="MyContainer1",container_port=newRes["TG"]["containPort"], protocol=ecs.Protocol.TCP))
def __init__(self, scope: core.Construct, id: str, props,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
pearson_vpn_connection = ec2.Peer.ipv4('159.182.0.0/16')
# Props Setup
stage = scope.node.try_get_context('stage')
my_service_name = scope.node.try_get_context('serviceName')
api_health_path = props['apiHealthPath']
tca_health_path = props['tcaHealthPath']
# Setup IAM user for logs
vpc_flow_role = iam.Role(
self,
'FlowLog',
assumed_by=iam.ServicePrincipal('vpc-flow-logs.amazonaws.com'))
vpc_flow_role.add_to_policy(
iam.PolicyStatement(effect=iam.Effect.ALLOW,
actions=[
'iam:PassRole', 'logs:CreateLogGroup',
'logs:DescribeLogGroups',
'logs:CreateLogStream', 'logs:PutLogEvents'
],
resources=["*"]))
# Create Cloudwatch log group
log_group = logs.LogGroup(self,
'LogGroup',
log_group_name="{0}-{1}".format(
my_service_name, stage),
retention=logs.RetentionDays('ONE_YEAR'),
removal_policy=core.RemovalPolicy('DESTROY'))
# Setup VPC resource
vpc = ec2.Vpc(self,
'{0}-{1}-vpc'.format(my_service_name, stage),
cidr=props['cidr'],
max_azs=props['vpcAzCount'])
# Setup VPC flow logs
vpc_log = ec2.CfnFlowLog(
self,
'FlowLogs',
resource_id=vpc.vpc_id,
resource_type='VPC',
traffic_type='ALL',
deliver_logs_permission_arn=vpc_flow_role.role_arn,
log_destination_type='cloud-watch-logs',
log_group_name="{0}-{1}".format(log_group.log_group_name, stage))
# Setup Security Group in VPC
vpc_sg = ec2.SecurityGroup(self,
'EcSSG',
vpc=vpc,
allow_all_outbound=None,
description="Security Group for Oculus vpc",
security_group_name="{0}-{1}-vpc-sg".format(
my_service_name, stage))
# Add Rules to Security Group
vpc_sg.add_ingress_rule(peer=pearson_vpn_connection,
connection=ec2.Port.tcp(22))
# ALB Security Group
alb_sg = ec2.SecurityGroup(self,
'AlbSG',
vpc=vpc,
allow_all_outbound=None,
description="Security group for oculus ALB",
security_group_name="{0}-{1}-alb-sg".format(
my_service_name, stage))
# Add HTTPS Rule to Security Group
alb_sg.add_ingress_rule(peer=pearson_vpn_connection,
connection=ec2.Port.tcp(443))
# Setup ALB
alb = elbv2.ApplicationLoadBalancer(self,
'ALB',
vpc=vpc,
internet_facing=True,
security_group=alb_sg)
# Setup API Target Group
api_tg = elbv2.ApplicationTargetGroup(
self,
'ApiTargetGroup',
port=8080,
protocol=elbv2.ApplicationProtocol.HTTP,
vpc=vpc)
# Setup Web Target Group
web_tg = elbv2.ApplicationTargetGroup(
self,
'WebTargetGroup',
port=3030,
protocol=elbv2.ApplicationProtocol.HTTP,
vpc=vpc)
# Setup API Target Group
tca_tg = elbv2.ApplicationTargetGroup(
self,
'TcaTargetGroup',
port=8080,
protocol=elbv2.ApplicationProtocol.HTTP,
vpc=vpc)
# Setup ECS Cluster
ecs_cluster = ecs.Cluster(self,
'ECSCluster',
vpc=vpc,
cluster_name="{0}-{1}".format(
my_service_name, stage))
# ECS Execution Role - Grants ECS agent to call AWS APIs
ecs_execution_role = iam.Role(
self,
'ECSExecutionRole',
assumed_by=iam.ServicePrincipal('ecs-tasks.amazonaws.com'),
role_name="{0}-{1}-execution-role".format(my_service_name, stage))
# Setup Role Permissions
ecs_execution_role.add_to_policy(
iam.PolicyStatement(
effect=iam.Effect.ALLOW,
actions=[
'elasticloadbalancing:DeregisterInstancesFromLoadBalancer',
'elasticloadbalancing:DeregisterTargets',
'elasticloadbalancing:Describe*',
'elasticloadbalancing:RegisterInstancesWithLoadBalancer',
'elasticloadbalancing:RegisterTargets', 'ec2:Describe*',
'ec2:AuthorizeSecurityGroupIngress', 'sts:AssumeRole',
'ssm:GetParameters', 'secretsmanager:GetSecretValue',
'ecr:GetAuthorizationToken',
'ecr:BatchCheckLayerAvailability',
'ecr:GetDownloadUrlForLayer', 'ecr:BatchGetImage',
'logs:CreateLogStream', 'logs:PutLogEvents',
"application-autoscaling:*", "cloudwatch:DescribeAlarms",
"cloudwatch:PutMetricAlarm"
],
resources=["*"]))
# ECS Task Role - Grants containers in task permission to AWS APIs
ecs_task_role = iam.Role(
self,
'ECSTaskRole',
assumed_by=iam.ServicePrincipal('ecs-tasks.amazonaws.com'),
role_name="{0}-{1}-task-role".format(my_service_name, stage))
# Setup Role Permissions
ecs_task_role.add_to_policy(
iam.PolicyStatement(effect=iam.Effect.ALLOW,
actions=[
'logs:CreateLogStream',
'logs:PutLogEvents', 'dynamodb:Query',
'dynamodb:ListTables',
'secretsmanager:GetSecretValue',
'kms:Decrypt'
],
resources=["*"]))
# Setup API Task Definition
api_taskdef = ecs.FargateTaskDefinition(
self,
'APIFargateTask',
memory_limit_mib=512,
cpu=256,
execution_role=ecs_execution_role,
task_role=ecs_task_role,
family="{0}-{1}-api".format(my_service_name, stage))
# Setup Web Task Definition
web_taskdef = ecs.FargateTaskDefinition(
self,
'WebFargateTask',
memory_limit_mib=512,
cpu=256,
execution_role=ecs_execution_role,
task_role=ecs_task_role,
family="{0}-{1}-web".format(my_service_name, stage))
# # Setup TCA Task Definition
tca_taskdef = ecs.FargateTaskDefinition(
self,
'TcaFargateTask',
memory_limit_mib=512,
cpu=256,
execution_role=ecs_execution_role,
task_role=ecs_task_role,
family="{0}-{1}-tca".format(my_service_name, stage))
api_repo = ecr.Repository.from_repository_arn(
self,
'ApiImage',
repository_arn=
"arn:aws:ecr:us-east-1:346147488134:repository/oculus-api")
web_repo = ecr.Repository.from_repository_arn(
self,
'WebImage',
repository_arn=
"arn:aws:ecr:us-east-1:346147488134:repository/oculus-web")
tca_repo = ecr.Repository.from_repository_arn(
self,
'TcaImage',
repository_arn=
"arn:aws:ecr:us-east-1:346147488134:repository/oculus-tca-api")
# Add Container API to Task
api_container = api_taskdef.add_container(
"oculus-cdk-{}-api".format(stage),
image=ecs.EcrImage(repository=api_repo, tag="devqaurl"),
logging=ecs.LogDriver.aws_logs(stream_prefix="{0}-{1}-api".format(
my_service_name, stage),
log_group=log_group))
# Add Container Web to Task
web_container = web_taskdef.add_container(
"oculus-cdk-{}-web".format(stage),
image=ecs.EcrImage(repository=web_repo, tag="removeMetaMockup"),
logging=ecs.LogDriver.aws_logs(stream_prefix="{0}-{1}-web".format(
my_service_name, stage),
log_group=log_group))
# # Add Container TCA to Task
tca_container = tca_taskdef.add_container(
"oculus-cdk-{}-tca".format(stage),
image=ecs.EcrImage(repository=tca_repo, tag="ocu-1109"),
logging=ecs.LogDriver.aws_logs(stream_prefix="{0}-{1}-tca".format(
my_service_name, stage),
log_group=log_group))
# Setup API Port Mappings
api_container.add_port_mappings(
ecs.PortMapping(container_port=8080,
host_port=8080,
protocol=ecs.Protocol.TCP))
# Setup Web Port Mappings
web_container.add_port_mappings(
ecs.PortMapping(container_port=3030,
host_port=3030,
protocol=ecs.Protocol.TCP))
# # Setup TCA Port Mappings
tca_container.add_port_mappings(
ecs.PortMapping(container_port=8080,
host_port=8080,
protocol=ecs.Protocol.TCP))
# Setup API Fargate Service
api_service = ecs.FargateService(self,
"FargateServiceAPI",
task_definition=api_taskdef,
cluster=ecs_cluster,
desired_count=1,
service_name="{0}-{1}-api".format(
my_service_name, stage))
api_scaling = api_service.auto_scale_task_count(max_capacity=5)
api_scaling.scale_on_cpu_utilization('ApiCpuScaling',
target_utilization_percent=50)
# Setup Web Fargate Service
web_service = ecs.FargateService(self,
"FargateServiceWeb",
task_definition=web_taskdef,
cluster=ecs_cluster,
desired_count=1,
service_name="{0}-{1}-web".format(
my_service_name, stage))
web_scaling = web_service.auto_scale_task_count(max_capacity=5)
web_scaling.scale_on_cpu_utilization('WebCpuScaling',
target_utilization_percent=50)
# # Setup TCA Fargate Service
tca_service = ecs.FargateService(self,
"FargateServiceTCA",
task_definition=tca_taskdef,
cluster=ecs_cluster,
desired_count=1,
service_name="{0}-{1}-tca".format(
my_service_name, stage))
tca_scaling = tca_service.auto_scale_task_count(max_capacity=5)
tca_scaling.scale_on_cpu_utilization('TcaCpuScaling',
target_utilization_percent=50)
# Setup ALB Listener
alb_listener = alb.add_listener(
'Listener',
certificate_arns=[
"arn:aws:acm:us-east-1:829809672214:certificate/a84bb369-03ce-4e5e-9d32-8c84609cad1e"
],
port=443,
open=False,
protocol=elbv2.ApplicationProtocol.HTTPS)
# Attach ALB to ECS API Service
api_target = alb_listener.add_targets(
'ECSAPI',
port=8080,
priority=1,
targets=[api_service],
health_check=elbv2.HealthCheck(path=api_health_path),
path_pattern='/oculus-api/*')
# # Attach ALB to ECS TCA Service
tca_target = alb_listener.add_targets(
'ECSTCA',
port=8080,
priority=2,
targets=[tca_service],
health_check=elbv2.HealthCheck(path=tca_health_path),
path_pattern='/tca/*')
# Attach ALB to ECS Web Service
web_target = alb_listener.add_targets(
'ECSWeb',
port=3030,
protocol=elbv2.ApplicationProtocol.HTTP,
targets=[web_service],
health_check=elbv2.HealthCheck(path='/'),
)
core.CfnOutput(self,
'LoadBalancerDNS',
value=alb.load_balancer_dns_name)
zone = route53.HostedZone.from_lookup(self,
'MyHostedZone',
domain_name=props['zoneDomain'])
route53.ARecord(
self,
'ServiceAliasRecord',
record_name=props['siteDomain'],
target=route53.RecordTarget(
alias_target=aws_route53_targets.LoadBalancerTarget(
load_balancer=alb)),
zone=zone)
def __init__(self, scope: core.Construct, id: str, vpc: ec2.Vpc, cluster: ecs.Cluster, repository: ecr.Repository, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
namespace = servicediscovery.PrivateDnsNamespace(
scope=self,
id="PRIVATE-DNS",
vpc=vpc,
name="private",
description="a private dns"
)
sg = ec2.SecurityGroup(
scope=self,
id="SG",
vpc=vpc,
allow_all_outbound=True,
description="open 9200 and 9300 ports",
security_group_name="es-group"
)
sg.add_ingress_rule(
peer=ec2.Peer.any_ipv4(),
connection=ec2.Port.tcp(port=9200),
)
sg.add_ingress_rule(
peer=ec2.Peer.any_ipv4(),
connection=ec2.Port.tcp(port=9300),
)
#####################################################
elastic_task_def = ecs.Ec2TaskDefinition(
scope=self,
id="ES-TASK-DEF",
network_mode=ecs.NetworkMode.AWS_VPC,
volumes=[ecs.Volume(
name="esdata",
host=ecs.Host(source_path="/usr/share/elasticsearch/data"),
)],
)
elastic = ecs.ContainerDefinition(
scope=self,
id=constants.ES_CONTAINER_NAME,
start_timeout=core.Duration.seconds(amount=30),
task_definition=elastic_task_def,
memory_limit_mib=4500,
essential=True,
image=ecs.ContainerImage.from_ecr_repository(
repository=repository, tag='latest'),
environment={
"cluster.name": constants.ES_CLUSTER_NAME,
"bootstrap.memory_lock": "true",
# "discovery.zen.ping.unicast.hosts": "elasticsearch",
"node.name": constants.ES_CONTAINER_NAME,
"node.master": "true",
"node.data": "true",
"ES_JAVA_OPTS": "-Xms4g -Xmx4g",
},
logging=ecs.AwsLogDriver(
stream_prefix="ES",
log_retention=logs.RetentionDays.ONE_DAY,
),
)
elastic.add_ulimits(ecs.Ulimit(
name=ecs.UlimitName.NOFILE, hard_limit=65535, soft_limit=65535))
elastic.add_ulimits(ecs.Ulimit(
name=ecs.UlimitName.MEMLOCK, hard_limit=-1, soft_limit=-1))
elastic.add_port_mappings(ecs.PortMapping(container_port=9200))
elastic.add_port_mappings(ecs.PortMapping(container_port=9300))
elastic.add_mount_points(ecs.MountPoint(
container_path="/usr/share/elasticsearch/data",
source_volume="esdata",
read_only=False,
))
# elastic.add_volumes_from(ecs.VolumeFrom(
# source_container="esdata",
# read_only=False,
# ))
es_service = ecs.Ec2Service(
scope=self,
id="ES-SERVICE",
cluster=cluster,
task_definition=elastic_task_def,
desired_count=1,
service_name="ES",
security_group=sg,
)
es_lb = elbv2.ApplicationLoadBalancer(
scope=self,
id="ES-ELB",
vpc=vpc,
internet_facing=True,
)
es_listener = es_lb.add_listener(
id="ES-LISTENER",
port=80,
)
es_service.register_load_balancer_targets(
ecs.EcsTarget(
new_target_group_id="ES-GRP",
container_name=elastic.container_name,
listener=ecs.ListenerConfig.application_listener(
listener=es_listener,
protocol=elbv2.ApplicationProtocol.HTTP),
))
service = es_service.enable_cloud_map(
cloud_map_namespace=namespace,
dns_record_type=servicediscovery.DnsRecordType.A,
# dns_ttl=core.Duration.seconds(amount=30),
failure_threshold=1,
name="elastic",
)
core.CfnOutput(
scope=self,
id="DNS-ES",
value=es_lb.load_balancer_dns_name,
)
#####################################################
node_task_def = ecs.Ec2TaskDefinition(
scope=self,
id="NODE-TASK-DEF",
network_mode=ecs.NetworkMode.AWS_VPC,
volumes=[ecs.Volume(
name="esdata",
host=ecs.Host(source_path="/usr/share/elasticsearch/data"),
)],
)
node = ecs.ContainerDefinition(
scope=self,
id=constants.ES_NODE_CONTAINER_NAME,
start_timeout=core.Duration.seconds(amount=40),
task_definition=node_task_def,
memory_limit_mib=4500,
essential=True,
image=ecs.ContainerImage.from_ecr_repository(
repository=repository, tag='latest'),
environment={
"cluster.name": constants.ES_CLUSTER_NAME,
"bootstrap.memory_lock": "true",
"discovery.zen.ping.unicast.hosts": "elastic.private",
"node.name": constants.ES_NODE_CONTAINER_NAME,
"node.master": "false",
"node.data": "true",
"ES_JAVA_OPTS": "-Xms4g -Xmx4g",
},
logging=ecs.LogDrivers.aws_logs(
stream_prefix="NODE",
log_retention=logs.RetentionDays.ONE_DAY,
))
node.add_port_mappings(ecs.PortMapping(container_port=9200))
node.add_port_mappings(ecs.PortMapping(container_port=9300))
node.add_ulimits(ecs.Ulimit(
name=ecs.UlimitName.NOFILE, hard_limit=65536, soft_limit=65536))
node.add_ulimits(ecs.Ulimit(
name=ecs.UlimitName.MEMLOCK, hard_limit=-1, soft_limit=-1))
node.add_mount_points(ecs.MountPoint(
container_path="/usr/share/elasticsearch/data",
source_volume="esdata",
read_only=False,
))
node_service = ecs.Ec2Service(
scope=self,
id="ES-NODE-SERVICE",
cluster=cluster,
task_definition=node_task_def,
desired_count=1,
service_name="NODE",
security_group=sg,
)
node_lb = elbv2.ApplicationLoadBalancer(
scope=self,
id="NODE-ELB",
vpc=vpc,
internet_facing=True,
)
node_listener = node_lb.add_listener(
id="NODE-LISTENER",
port=80,
)
node_service.register_load_balancer_targets(
ecs.EcsTarget(
new_target_group_id="NODE-GRP",
container_name=node.container_name,
listener=ecs.ListenerConfig.application_listener(
listener=node_listener,
protocol=elbv2.ApplicationProtocol.HTTP),
))
core.CfnOutput(
scope=self,
id="DNS-NODE",
value=node_lb.load_balancer_dns_name,
)
