aws-cdk.aws-msk1.204.0
Published
The CDK Construct Library for AWS::MSK
pip install aws-cdk-aws-msk
Package Downloads
Authors
Requires Python
~=3.7
Dependencies
- aws-cdk.aws-acmpca
(==1.204.0)
- aws-cdk.aws-ec2
(==1.204.0)
- aws-cdk.aws-iam
(==1.204.0)
- aws-cdk.aws-kms
(==1.204.0)
- aws-cdk.aws-logs
(==1.204.0)
- aws-cdk.aws-s3
(==1.204.0)
- aws-cdk.aws-secretsmanager
(==1.204.0)
- aws-cdk.core
(==1.204.0)
- aws-cdk.custom-resources
(==1.204.0)
- constructs
(<4.0.0,>=3.3.69)
- jsii
(<2.0.0,>=1.84.0)
- publication
(>=0.0.3)
- typeguard
(~=2.13.3)
Amazon Managed Streaming for Apache Kafka Construct Library
---AWS CDK v1 has reached End-of-Support on 2023-06-01. This package is no longer being updated, and users should migrate to AWS CDK v2.
For more information on how to migrate, see the Migrating to AWS CDK v2 guide.
Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data.
The following example creates an MSK Cluster.
# vpc: ec2.Vpc
cluster = msk.Cluster(self, "Cluster",
cluster_name="myCluster",
kafka_version=msk.KafkaVersion.V2_8_1,
vpc=vpc
)
Allowing Connections
To control who can access the Cluster, use the .connections
attribute. For a list of ports used by MSK, refer to the MSK documentation.
# vpc: ec2.Vpc
cluster = msk.Cluster(self, "Cluster",
cluster_name="myCluster",
kafka_version=msk.KafkaVersion.V2_8_1,
vpc=vpc
)
cluster.connections.allow_from(
ec2.Peer.ipv4("1.2.3.4/8"),
ec2.Port.tcp(2181))
cluster.connections.allow_from(
ec2.Peer.ipv4("1.2.3.4/8"),
ec2.Port.tcp(9094))
Cluster Endpoints
You can use the following attributes to get a list of the Kafka broker or ZooKeeper node endpoints
# cluster: msk.Cluster
CfnOutput(self, "BootstrapBrokers", value=cluster.bootstrap_brokers)
CfnOutput(self, "BootstrapBrokersTls", value=cluster.bootstrap_brokers_tls)
CfnOutput(self, "BootstrapBrokersSaslScram", value=cluster.bootstrap_brokers_sasl_scram)
CfnOutput(self, "ZookeeperConnection", value=cluster.zookeeper_connection_string)
CfnOutput(self, "ZookeeperConnectionTls", value=cluster.zookeeper_connection_string_tls)
Importing an existing Cluster
To import an existing MSK cluster into your CDK app use the .fromClusterArn()
method.
cluster = msk.Cluster.from_cluster_arn(self, "Cluster", "arn:aws:kafka:us-west-2:1234567890:cluster/a-cluster/11111111-1111-1111-1111-111111111111-1")
Client Authentication
MSK supports the following authentication mechanisms.
Only one authentication method can be enabled.
TLS
To enable client authentication with TLS set the certificateAuthorityArns
property to reference your ACM Private CA. More info on Private CAs.
import aws_cdk.aws_acmpca as acmpca
# vpc: ec2.Vpc
cluster = msk.Cluster(self, "Cluster",
cluster_name="myCluster",
kafka_version=msk.KafkaVersion.V2_8_1,
vpc=vpc,
encryption_in_transit=msk.EncryptionInTransitConfig(
client_broker=msk.ClientBrokerEncryption.TLS
),
client_authentication=msk.ClientAuthentication.tls(
certificate_authorities=[
acmpca.CertificateAuthority.from_certificate_authority_arn(self, "CertificateAuthority", "arn:aws:acm-pca:us-west-2:1234567890:certificate-authority/11111111-1111-1111-1111-111111111111")
]
)
)
SASL/SCRAM
Enable client authentication with SASL/SCRAM:
# vpc: ec2.Vpc
cluster = msk.Cluster(self, "cluster",
cluster_name="myCluster",
kafka_version=msk.KafkaVersion.V2_8_1,
vpc=vpc,
encryption_in_transit=msk.EncryptionInTransitConfig(
client_broker=msk.ClientBrokerEncryption.TLS
),
client_authentication=msk.ClientAuthentication.sasl(
scram=True
)
)
SASL/IAM
Enable client authentication with IAM:
# vpc: ec2.Vpc
cluster = msk.Cluster(self, "cluster",
cluster_name="myCluster",
kafka_version=msk.KafkaVersion.V2_8_1,
vpc=vpc,
encryption_in_transit=msk.EncryptionInTransitConfig(
client_broker=msk.ClientBrokerEncryption.TLS
),
client_authentication=msk.ClientAuthentication.sasl(
iam=True
)
)