def __init__(self, scope: Construct, construct_id: str, **kwargs) -> None:
super().__init__(scope, construct_id, **kwargs)
# Create the Lambda function to receive the request
# The source code is in './src' directory
lambda_fn = lambda_.Function(
self, "MyFunction",
runtime=lambda_.Runtime.PYTHON_3_9,
handler="index.handler",
code=lambda_.Code.from_asset(os.path.join(DIRNAME, "src")),
environment={
"env_var1": "value 1",
"env_var2": "value 2",
}
)
# Create the HTTP API with CORS
http_api = _apigw.HttpApi(
self, "MyHttpApi",
cors_preflight=_apigw.CorsPreflightOptions(
allow_methods=[_apigw.CorsHttpMethod.GET],
allow_origins=["*"],
max_age=Duration.days(10),
)
)
# Add a route to GET /
http_api.add_routes(
path="/",
methods=[_apigw.HttpMethod.GET],
integration=_integrations.HttpLambdaIntegration("LambdaProxyIntegration", handler=lambda_fn),
)
# Outputs
CfnOutput(self, "API Endpoint", description="API Endpoint", value=http_api.api_endpoint)
def _setup_mysql_serverless(self) -> None:
port = 3306
database = "test"
schema = "test"
aurora_mysql = rds.ServerlessCluster(
self,
"aws-data-wrangler-aurora-cluster-mysql-serverless",
removal_policy=RemovalPolicy.DESTROY,
engine=rds.DatabaseClusterEngine.aurora_mysql(
version=rds.AuroraMysqlEngineVersion.VER_5_7_12,
),
cluster_identifier="mysql-serverless-cluster-wrangler",
default_database_name=database,
credentials=rds.Credentials.from_password(
username=self.db_username,
password=self.db_password_secret,
),
scaling=rds.ServerlessScalingOptions(
auto_pause=Duration.minutes(5),
min_capacity=rds.AuroraCapacityUnit.ACU_1,
max_capacity=rds.AuroraCapacityUnit.ACU_1,
),
backup_retention=Duration.days(1),
vpc=self.vpc,
vpc_subnets=ec2.SubnetSelection(subnet_type=ec2.SubnetType.PRIVATE_WITH_NAT),
subnet_group=self.rds_subnet_group,
security_groups=[self.db_security_group],
enable_data_api=True,
)
secret = secrets.Secret(
self,
"aws-data-wrangler-mysql-serverless-secret",
secret_name="aws-data-wrangler/mysql-serverless",
description="MySQL serverless credentials",
generate_secret_string=secrets.SecretStringGenerator(
generate_string_key="dummy",
secret_string_template=json.dumps(
{
"username": self.db_username,
"password": self.db_password,
"engine": "mysql",
"host": aurora_mysql.cluster_endpoint.hostname,
"port": port,
"dbClusterIdentifier": aurora_mysql.cluster_identifier,
"dbname": database,
}
),
),
)
CfnOutput(self, "MysqlServerlessSecretArn", value=secret.secret_arn)
CfnOutput(self, "MysqlServerlessClusterArn", value=aurora_mysql.cluster_arn)
CfnOutput(self, "MysqlServerlessAddress", value=aurora_mysql.cluster_endpoint.hostname)
CfnOutput(self, "MysqlServerlessPort", value=str(port))
CfnOutput(self, "MysqlServerlessDatabase", value=database)
CfnOutput(self, "MysqlServerlessSchema", value=schema)
def __init__(self, scope: Construct, id: str, vpc, asg_security_groups,
**kwargs) -> None:
super().__init__(scope, id, **kwargs)
# Ceate Aurora Cluster with 2 instances with CDK High Level API
# Secrets Manager auto generate and keep the password, don't put password in cdk code directly
# db_Aurora_cluster = rds.DatabaseCluster(self, "MyAurora",
# default_database_name="MyAurora",
# engine=rds.DatabaseClusterEngine.arora_mysql(
# version=rds.AuroraMysqlEngineVersion.VER_5_7_12
# )
# instance_props=rds.InstanceProps(
# vpc=vpc,
# vpc_subnets=ec2.SubnetSelection(subnet_group_name="DB"),
# instance_type=ec2.InstanceType(instance_type_identifier="t2.small")
# ),
# instances=2,
# parameter_group=rds.ClusterParameterGroup.from_parameter_group_name(
# self, "para-group-aurora",
# parameter_group_name="default.aurora-mysql5.7"
# ),
# )
# for asg_sg in asg_security_groups:
# db_Aurora_cluster.connections.allow_default_port_from(asg_sg, "EC2 Autoscaling Group access Aurora")
# Alternatively, create MySQL RDS with CDK High Level API
db_mysql_easy = rds.DatabaseInstance(
self,
"MySQL_DB_easy",
engine=rds.DatabaseInstanceEngine.mysql(
version=rds.MysqlEngineVersion.VER_5_7_30),
instance_type=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2,
ec2.InstanceSize.SMALL),
vpc=vpc,
vpc_subnets=ec2.SubnetSelection(subnet_group_name="DB"),
multi_az=True,
allocated_storage=100,
storage_type=rds.StorageType.GP2,
cloudwatch_logs_exports=["audit", "error", "general", "slowquery"],
deletion_protection=False,
delete_automated_backups=False,
backup_retention=Duration.days(7),
parameter_group=rds.ParameterGroup.from_parameter_group_name(
self,
"para-group-mysql",
parameter_group_name="default.mysql5.7"))
for asg_sg in asg_security_groups:
db_mysql_easy.connections.allow_default_port_from(
asg_sg, "EC2 Autoscaling Group access MySQL")
def __init__(self, scope: Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# The code from zhxinyua to create VPC, s3_endpoint, bastion, EC2, EBS, Cloudwatch event rule stop EC2, Backup for EC2
# create a new VPC
vpc_new = aws_ec2.Vpc(self, "VpcFromCDK", cidr="10.0.0.0/16")
vpc_new.add_gateway_endpoint(
"S3Endpoint",
service=aws_ec2.GatewayVpcEndpointAwsService.S3,
# Add only to ISOLATED subnets
subnets=[
aws_ec2.SubnetSelection(subnet_type=aws_ec2.SubnetType.PUBLIC)
])
# only allow a specific rang of IP to conncet bastion
# BastionHostLinux support two way to connect, one is SSM, second is EC2 Instance Connect
# EC2 Instance Connect are not supportd in CN
host_bastion = aws_ec2.BastionHostLinux(
self,
"BastionHost",
vpc=vpc_new,
subnet_selection=aws_ec2.SubnetSelection(
subnet_type=aws_ec2.SubnetType.PUBLIC))
# write your own IP rang to access this bastion instead of 1.2.3.4/32
host_bastion.allow_ssh_access_from(aws_ec2.Peer.ipv4("1.2.3.4/32"))
# use amazon linux as OS
amzn_linux = aws_ec2.MachineImage.latest_amazon_linux(
generation=aws_ec2.AmazonLinuxGeneration.AMAZON_LINUX,
edition=aws_ec2.AmazonLinuxEdition.STANDARD,
virtualization=aws_ec2.AmazonLinuxVirt.HVM,
storage=aws_ec2.AmazonLinuxStorage.GENERAL_PURPOSE)
# secure group
my_security_group = aws_ec2.SecurityGroup(
self,
"SecurityGroup",
vpc=vpc_new,
description="SecurityGroup from CDK",
security_group_name="CDK SecurityGroup",
allow_all_outbound=True,
)
my_security_group.add_ingress_rule(aws_ec2.Peer.ipv4('10.0.0.0/16'),
aws_ec2.Port.tcp(22),
"allow ssh access from the VPC")
# set up an web instance in public subnet
work_server = aws_ec2.Instance(
self,
"WebInstance",
instance_type=aws_ec2.InstanceType("Write a EC2 instance type"),
machine_image=amzn_linux,
vpc=vpc_new,
vpc_subnets=aws_ec2.SubnetSelection(
subnet_type=aws_ec2.SubnetType.PUBLIC),
security_group=my_security_group,
key_name="Your SSH key pair name")
# allow web connect
work_server.connections.allow_from_any_ipv4(aws_ec2.Port.tcp(80),
"allow http from world")
work_server.connections.allow_from_any_ipv4(aws_ec2.Port.tcp(443),
"allow https from world")
# set a second ebs to web instance
work_server.instance.add_property_override(
"BlockDeviceMappings", [{
"DeviceName": "/dev/sdb",
"Ebs": {
"VolumeSize": "30",
"VolumeType": "gp2",
"DeleteOnTermination": "true"
}
}])
# Cloudwatch event rule to stop instances every day in 15:00 UTC
# they only use javascript SDK to call AWS API
# https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_events_targets/AwsApi.html
stop_EC2 = AwsApi(
service="EC2",
action="stopInstances",
parameters={
"InstanceIds":
[work_server.instance_id, host_bastion.instance_id]
})
Rule(self,
"ScheduleRule",
schedule=Schedule.cron(minute="0", hour="15"),
targets=[stop_EC2])
# AWS backup part
# create a BackupVault
vault = backup.BackupVault(self,
"BackupVault",
backup_vault_name="CDK_Backup_Vault")
# create a BackupPlan
plan = backup.BackupPlan(self,
"AWS-Backup-Plan",
backup_plan_name="CDK_Backup")
# add buackup resources with two way for two resources
plan.add_selection(
"Selection",
resources=[
backup.BackupResource.from_ec2_instance(work_server),
backup.BackupResource.from_tag("Name", "BastionHost")
])
# details with backup rules
plan.add_rule(
backup.BackupPlanRule(
backup_vault=vault,
rule_name="CDK_Backup_Rule",
schedule_expression=Schedule.cron(minute="0",
hour="16",
day="1",
month="1-12"),
delete_after=Duration.days(130),
move_to_cold_storage_after=Duration.days(10)))
# output information after deploy
output = CfnOutput(self,
"BastionHost_information",
value=host_bastion.instance_public_ip,
description="BastionHost's Public IP")
output = CfnOutput(self,
"WebHost_information",
value=work_server.instance_public_ip,
description="Web server's Public IP")
def _setup_mysql(self) -> None:
port = 3306
database = "test"
schema = "test"
aurora_mysql = rds.DatabaseCluster(
self,
"aws-data-wrangler-aurora-cluster-mysql",
removal_policy=RemovalPolicy.DESTROY,
engine=rds.DatabaseClusterEngine.aurora_mysql(
version=rds.AuroraMysqlEngineVersion.VER_5_7_12,
),
cluster_identifier="mysql-cluster-wrangler",
instances=1,
default_database_name=database,
credentials=rds.Credentials.from_password(
username=self.db_username,
password=self.db_password_secret,
),
port=port,
backup=rds.BackupProps(retention=Duration.days(1)),
instance_props=rds.InstanceProps(
vpc=self.vpc,
security_groups=[self.db_security_group],
publicly_accessible=True,
),
subnet_group=self.rds_subnet_group,
s3_import_buckets=[self.bucket],
s3_export_buckets=[self.bucket],
)
glue.Connection(
self,
"aws-data-wrangler-mysql-glue-connection",
description="Connect to Aurora (MySQL).",
type=glue.ConnectionType.JDBC,
connection_name="aws-data-wrangler-mysql",
properties={
"JDBC_CONNECTION_URL": f"jdbc:mysql://{aurora_mysql.cluster_endpoint.hostname}:{port}/{database}",
"USERNAME": self.db_username,
"PASSWORD": self.db_password,
},
subnet=self.vpc.private_subnets[0],
security_groups=[self.db_security_group],
)
glue.Connection(
self,
"aws-data-wrangler-mysql-glue-connection-ssl",
description="Connect to Aurora (MySQL) with SSL.",
type=glue.ConnectionType.JDBC,
connection_name="aws-data-wrangler-mysql-ssl",
properties={
"JDBC_CONNECTION_URL": f"jdbc:mysql://{aurora_mysql.cluster_endpoint.hostname}:{port}/{database}",
"USERNAME": self.db_username,
"PASSWORD": self.db_password,
"JDBC_ENFORCE_SSL": "true",
"CUSTOM_JDBC_CERT": "s3://rds-downloads/rds-combined-ca-bundle.pem",
},
subnet=self.vpc.private_subnets[0],
security_groups=[self.db_security_group],
)
secrets.Secret(
self,
"aws-data-wrangler-mysql-secret",
secret_name="aws-data-wrangler/mysql",
description="MySQL credentials",
generate_secret_string=secrets.SecretStringGenerator(
generate_string_key="dummy",
secret_string_template=json.dumps(
{
"username": self.db_username,
"password": self.db_password,
"engine": "mysql",
"host": aurora_mysql.cluster_endpoint.hostname,
"port": port,
"dbClusterIdentifier": aurora_mysql.cluster_identifier,
"dbname": database,
}
),
),
)
CfnOutput(self, "MysqlAddress", value=aurora_mysql.cluster_endpoint.hostname)
CfnOutput(self, "MysqlPort", value=str(port))
CfnOutput(self, "MysqlDatabase", value=database)
CfnOutput(self, "MysqlSchema", value=schema)
def _setup_postgresql(self) -> None:
port = 3306
database = "postgres"
schema = "public"
pg = rds.ParameterGroup(
self,
"aws-data-wrangler-postgresql-params",
engine=rds.DatabaseClusterEngine.aurora_postgres(
version=rds.AuroraPostgresEngineVersion.VER_11_13,
),
parameters={
"apg_plan_mgmt.capture_plan_baselines": "off",
},
)
aurora_pg = rds.DatabaseCluster(
self,
"aws-data-wrangler-aurora-cluster-postgresql",
removal_policy=RemovalPolicy.DESTROY,
engine=rds.DatabaseClusterEngine.aurora_postgres(
version=rds.AuroraPostgresEngineVersion.VER_11_13,
),
cluster_identifier="postgresql-cluster-wrangler",
instances=1,
credentials=rds.Credentials.from_password(
username=self.db_username,
password=self.db_password_secret,
),
port=port,
backup=rds.BackupProps(retention=Duration.days(1)),
parameter_group=pg,
s3_import_buckets=[self.bucket],
s3_export_buckets=[self.bucket],
instance_props=rds.InstanceProps(
vpc=self.vpc,
security_groups=[self.db_security_group],
publicly_accessible=True,
),
subnet_group=self.rds_subnet_group,
)
glue.Connection(
self,
"aws-data-wrangler-postgresql-glue-connection",
description="Connect to Aurora (PostgreSQL).",
type=glue.ConnectionType.JDBC,
connection_name="aws-data-wrangler-postgresql",
properties={
"JDBC_CONNECTION_URL": f"jdbc:postgresql://{aurora_pg.cluster_endpoint.hostname}:{port}/{database}",
"USERNAME": self.db_username,
"PASSWORD": self.db_password,
},
subnet=self.vpc.private_subnets[0],
security_groups=[self.db_security_group],
)
secrets.Secret(
self,
"aws-data-wrangler-postgresql-secret",
secret_name="aws-data-wrangler/postgresql",
description="Postgresql credentials",
generate_secret_string=secrets.SecretStringGenerator(
generate_string_key="dummy",
secret_string_template=json.dumps(
{
"username": self.db_username,
"password": self.db_password,
"engine": "postgresql",
"host": aurora_pg.cluster_endpoint.hostname,
"port": port,
"dbClusterIdentifier": aurora_pg.cluster_identifier,
"dbname": database,
}
),
),
)
CfnOutput(self, "PostgresqlAddress", value=aurora_pg.cluster_endpoint.hostname)
CfnOutput(self, "PostgresqlPort", value=str(port))
CfnOutput(self, "PostgresqlDatabase", value=database)
CfnOutput(self, "PostgresqlSchema", value=schema)
def __init__(self, scope: Construct, construct_id: str,
**kwargs: str) -> None:
super().__init__(scope, construct_id, **kwargs)
self.vpc = ec2.Vpc(
self,
"aws-data-wrangler-vpc",
cidr="11.19.224.0/19",
enable_dns_hostnames=True,
enable_dns_support=True,
)
Tags.of(self.vpc).add("Name", "aws-data-wrangler")
self.key = kms.Key(
self,
id="aws-data-wrangler-key",
description="Aws Data Wrangler Test Key.",
policy=iam.PolicyDocument(statements=[
iam.PolicyStatement(
sid="Enable IAM User Permissions",
effect=iam.Effect.ALLOW,
actions=["kms:*"],
principals=[iam.AccountRootPrincipal()],
resources=["*"],
)
]),
)
kms.Alias(
self,
"aws-data-wrangler-key-alias",
alias_name="alias/aws-data-wrangler-key",
target_key=self.key,
)
self.bucket = s3.Bucket(
self,
id="aws-data-wrangler",
block_public_access=s3.BlockPublicAccess(
block_public_acls=True,
block_public_policy=True,
ignore_public_acls=True,
restrict_public_buckets=True,
),
lifecycle_rules=[
s3.LifecycleRule(
id="CleaningUp",
enabled=True,
expiration=Duration.days(1),
abort_incomplete_multipart_upload_after=Duration.days(1),
),
],
versioned=True,
)
glue_db = glue.Database(
self,
id="aws_data_wrangler_glue_database",
database_name="aws_data_wrangler",
location_uri=f"s3://{self.bucket.bucket_name}",
)
log_group = logs.LogGroup(
self,
id="aws_data_wrangler_log_group",
retention=logs.RetentionDays.ONE_MONTH,
)
log_stream = logs.LogStream(
self,
id="aws_data_wrangler_log_stream",
log_group=log_group,
)
CfnOutput(self, "Region", value=self.region)
CfnOutput(
self,
"VPC",
value=self.vpc.vpc_id,
export_name="aws-data-wrangler-base-VPC",
)
CfnOutput(
self,
"PublicSubnet1",
value=self.vpc.public_subnets[0].subnet_id,
export_name="aws-data-wrangler-base-PublicSubnet1",
)
CfnOutput(
self,
"PublicSubnet2",
value=self.vpc.public_subnets[1].subnet_id,
export_name="aws-data-wrangler-base-PublicSubnet2",
)
CfnOutput(
self,
"PrivateSubnet",
value=self.vpc.private_subnets[0].subnet_id,
export_name="aws-data-wrangler-base-PrivateSubnet",
)
CfnOutput(
self,
"KmsKeyArn",
value=self.key.key_arn,
export_name="aws-data-wrangler-base-KmsKeyArn",
)
CfnOutput(
self,
"BucketName",
value=self.bucket.bucket_name,
export_name="aws-data-wrangler-base-BucketName",
)
CfnOutput(self, "GlueDatabaseName", value=glue_db.database_name)
CfnOutput(self, "LogGroupName", value=log_group.log_group_name)
CfnOutput(self, "LogStream", value=log_stream.log_stream_name)
def __init__(self, scope: Construct, construct_id: str, **kwargs) -> None:
super().__init__(scope, construct_id)
lambda_dir = kwargs["lambda_dir"]
# Note: A dead-letter queue is optional but it helps capture any failed messages
dlq = sqs.Queue(self,
id="dead_letter_queue_id",
retention_period=Duration.days(7))
dead_letter_queue = sqs.DeadLetterQueue(max_receive_count=1, queue=dlq)
upload_queue = sqs.Queue(self,
id="sample_queue_id",
visibility_timeout=Duration.seconds(30),
dead_letter_queue=dead_letter_queue)
sqs_subscription = sns_subs.SqsSubscription(upload_queue,
raw_message_delivery=True)
upload_event_topic = sns.Topic(self, id="sample_sns_topic_id")
# This binds the SNS Topic to the SQS Queue
upload_event_topic.add_subscription(sqs_subscription)
# Note: Lifecycle Rules are optional but are included here to keep costs
# low by cleaning up old files or moving them to lower cost storage options
s3_bucket = s3.Bucket(
self,
id="sample_bucket_id",
block_public_access=s3.BlockPublicAccess.BLOCK_ALL,
versioned=True,
lifecycle_rules=[
s3.LifecycleRule(
enabled=True,
expiration=Duration.days(365),
transitions=[
s3.Transition(
storage_class=s3.StorageClass.INFREQUENT_ACCESS,
transition_after=Duration.days(30)),
s3.Transition(storage_class=s3.StorageClass.GLACIER,
transition_after=Duration.days(90)),
])
])
# Note: If you don't specify a filter all uploads will trigger an event.
# Also, modifying the event type will handle other object operations
# This binds the S3 bucket to the SNS Topic
s3_bucket.add_event_notification(
s3.EventType.OBJECT_CREATED_PUT,
s3n.SnsDestination(upload_event_topic),
s3.NotificationKeyFilter(prefix="uploads", suffix=".csv"))
function = _lambda.Function(
self,
"lambda_function",
runtime=_lambda.Runtime.PYTHON_3_9,
handler="lambda_function.handler",
code=_lambda.Code.from_asset(path=lambda_dir))
# This binds the lambda to the SQS Queue
invoke_event_source = lambda_events.SqsEventSource(upload_queue)
function.add_event_source(invoke_event_source)
# Examples of CloudFormation outputs
CfnOutput(
self,
"UploadFileToS3Example",
value="aws s3 cp <local-path-to-file> s3://{}/".format(
s3_bucket.bucket_name),
description=
"Upload a file to S3 (using AWS CLI) to trigger the SQS chain",
)
CfnOutput(
self,
"UploadSqsQueueUrl",
value=upload_queue.queue_url,
description="Link to the SQS Queue triggered on S3 uploads",
)
CfnOutput(
self,
"LambdaFunctionName",
value=function.function_name,
)
CfnOutput(
self,
"LambdaFunctionLogGroupName",
value=function.log_group.log_group_name,
)
def create_static_site(scope: InfraStack, hosted_zone: route53.HostedZone):
bucket = s3.Bucket(
scope,
id=scope.context.construct_id("s3"),
bucket_name=f'{scope.context.construct_id("s3")}-bucket',
versioned=True,
block_public_access=s3.BlockPublicAccess(
restrict_public_buckets=True,
block_public_policy=True,
block_public_acls=True,
),
removal_policy=RemovalPolicy.RETAIN,
auto_delete_objects=False,
lifecycle_rules=[
s3.LifecycleRule(noncurrent_version_expiration=Duration.days(7))
],
)
prod_domain_name = "gingerbeans.tech"
lower_domain_name = f"{scope.context.env_name}.gingerbeans.tech"
domain_name = (prod_domain_name if scope.context.env_name == PRODUCTION
else lower_domain_name)
my_certificate = acm.DnsValidatedCertificate(
scope,
scope.context.construct_id("certificate"),
domain_name=domain_name,
hosted_zone=hosted_zone,
region="us-east-1",
)
origin_access_identity = cloudfront.OriginAccessIdentity(
scope, scope.context.construct_id("cfOriginAccessIdentity"))
cf_s3_access = iam.PolicyStatement()
cf_s3_access.add_actions("s3:GetBucket*")
cf_s3_access.add_actions("s3:GetObject*")
cf_s3_access.add_actions("s3:List*")
cf_s3_access.add_resources(bucket.bucket_arn)
cf_s3_access.add_resources(f"{bucket.bucket_arn}/*")
cf_s3_access.add_canonical_user_principal(
origin_access_identity.
cloud_front_origin_access_identity_s3_canonical_user_id)
bucket.add_to_resource_policy(cf_s3_access)
distro = cloudfront.Distribution(
scope,
scope.context.construct_id("dist"),
default_behavior=cloudfront.BehaviorOptions(origin=origins.S3Origin(
bucket=bucket, origin_access_identity=origin_access_identity)),
default_root_object="index.html",
domain_names=[domain_name],
certificate=my_certificate,
)
route53.AaaaRecord(
scope,
scope.context.construct_id("AAAA"),
record_name=domain_name,
target=route53.RecordTarget.from_alias(
targets.CloudFrontTarget(distro)),
zone=hosted_zone,
)
route53.ARecord(
scope,
scope.context.construct_id("A"),
record_name=domain_name,
target=route53.RecordTarget.from_alias(
targets.CloudFrontTarget(distro)),
zone=hosted_zone,
)
s3_deployment.BucketDeployment(
scope,
scope.context.construct_id("s3_deployment"),
sources=[s3_deployment.Source.asset("../gb-ui/build")],
destination_key_prefix="/",
destination_bucket=bucket,
distribution=distro,
distribution_paths=["/*"],
)
