aws-cdk.aws-kinesisfirehose 1.116.0

The CDK Construct Library for AWS::KinesisFirehose

Amazon Kinesis Data Firehose Construct Library

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All classes with the Cfn prefix in this module (CFN Resources) are always stable and safe to use.

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

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Amazon Kinesis Data Firehose is a service for fully-managed delivery of real-time streaming data to storage services such as Amazon S3, Amazon Redshift, Amazon Elasticsearch, Splunk, or any custom HTTP endpoint or third-party services such as Datadog, Dynatrace, LogicMonitor, MongoDB, New Relic, and Sumo Logic.

Kinesis Data Firehose delivery streams are distinguished from Kinesis data streams in their models of consumtpion. Whereas consumers read from a data stream by actively pulling data from the stream, a delivery stream pushes data to its destination on a regular cadence. This means that data streams are intended to have consumers that do on-demand processing, like AWS Lambda or Amazon EC2. On the other hand, delivery streams are intended to have destinations that are sources for offline processing and analytics, such as Amazon S3 and Amazon Redshift.

This module is part of the AWS Cloud Development Kit project. It allows you to define Kinesis Data Firehose delivery streams.

Defining a Delivery Stream

In order to define a Delivery Stream, you must specify a destination. An S3 bucket can be used as a destination. More supported destinations are covered below.

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_kinesisfirehose_destinations as destinations
import aws_cdk.aws_s3 as s3


bucket = s3.Bucket(self, "Bucket")
DeliveryStream(self, "Delivery Stream",
    destinations=[destinations.S3Bucket(bucket)]
)

The above example defines the following resources:

• An S3 bucket
• A Kinesis Data Firehose delivery stream with Direct PUT as the source and CloudWatch error logging turned on.
• An IAM role which gives the delivery stream permission to write to the S3 bucket.

Sources

There are two main methods of sourcing input data: Kinesis Data Streams and via a "direct put". This construct library currently only supports "direct put". See #15500 to track the status of adding support for Kinesis Data Streams.

See: Sending Data to a Delivery Stream in the Kinesis Data Firehose Developer Guide.

Direct Put

Data must be provided via "direct put", ie., by using a PutRecord or PutRecordBatch API call. There are a number of ways of doing so, such as:

• Kinesis Agent: a standalone Java application that monitors and delivers files while handling file rotation, checkpointing, and retries. See: Writing to Kinesis Data Firehose Using Kinesis Agent in the Kinesis Data Firehose Developer Guide.
• AWS SDK: a general purpose solution that allows you to deliver data to a delivery stream from anywhere using Java, .NET, Node.js, Python, or Ruby. See: Writing to Kinesis Data Firehose Using the AWS SDK in the Kinesis Data Firehose Developer Guide.
• CloudWatch Logs: subscribe to a log group and receive filtered log events directly into a delivery stream. See: logs-destinations.
• Eventbridge: add an event rule target to send events to a delivery stream based on the rule filtering. See: events-targets.
• SNS: add a subscription to send all notifications from the topic to a delivery stream. See: sns-subscriptions.
• IoT: add an action to an IoT rule to send various IoT information to a delivery stream

Destinations

The following destinations are supported. See kinesisfirehose-destinations for the implementations of these destinations.

S3

Defining a delivery stream with an S3 bucket destination:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_s3 as s3
import aws_cdk.aws_kinesisfirehose_destinations as destinations


bucket = s3.Bucket(self, "Bucket")

s3_destination = destinations.S3Bucket(bucket)

DeliveryStream(self, "Delivery Stream",
    destinations=[s3_destination]
)

Monitoring

Kinesis Data Firehose is integrated with CloudWatch, so you can monitor the performance of your delivery streams via logs and metrics.

Logs

Kinesis Data Firehose will send logs to CloudWatch when data transformation or data delivery fails. The CDK will enable logging by default and create a CloudWatch LogGroup and LogStream for your Delivery Stream.

You can provide a specific log group to specify where the CDK will create the log streams where log events will be sent:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_kinesisfirehose_destinations as destinations
import aws_cdk.aws_logs as logs


log_group = logs.LogGroup(self, "Log Group")
destination = destinations.S3Bucket(bucket,
    log_group=log_group
)
DeliveryStream(self, "Delivery Stream",
    destinations=[destination]
)

Logging can also be disabled:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_kinesisfirehose_destinations as destinations


destination = destinations.S3Bucket(bucket,
    logging=False
)
DeliveryStream(self, "Delivery Stream",
    destinations=[destination]
)

See: Monitoring using CloudWatch Logs in the Kinesis Data Firehose Developer Guide.

Specifying an IAM role

The DeliveryStream class automatically creates IAM service roles with all the minimum necessary permissions for Kinesis Data Firehose to access the resources referenced by your delivery stream. One service role is created for the delivery stream that allows Kinesis Data Firehose to read from a Kinesis data stream (if one is configured as the delivery stream source) and for server-side encryption. Another service role is created for each destination, which gives Kinesis Data Firehose write access to the destination resource, as well as the ability to invoke data transformers and read schemas for record format conversion. If you wish, you may specify your own IAM role for either the delivery stream or the destination service role, or both. It must have the correct trust policy (it must allow Kinesis Data Firehose to assume it) or delivery stream creation or data delivery will fail. Other required permissions to destination resources, encryption keys, etc., will be provided automatically.

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_kinesisfirehose_destinations as destinations
import aws_cdk.aws_iam as iam


# Create service roles for the delivery stream and destination.
# These can be used for other purposes and granted access to different resources.
# They must include the Kinesis Data Firehose service principal in their trust policies.
# Two separate roles are shown below, but the same role can be used for both purposes.
delivery_stream_role = iam.Role(self, "Delivery Stream Role",
    assumed_by=iam.ServicePrincipal("firehose.amazonaws.com")
)
destination_role = iam.Role(self, "Destination Role",
    assumed_by=iam.ServicePrincipal("firehose.amazonaws.com")
)

# Specify the roles created above when defining the destination and delivery stream.
destination = destinations.S3Bucket(bucket, role=destination_role)
DeliveryStream(self, "Delivery Stream",
    destinations=[destination],
    role=delivery_stream_role
)

See Controlling Access in the Kinesis Data Firehose Developer Guide.

Granting application access to a delivery stream

IAM roles, users or groups which need to be able to work with delivery streams should be granted IAM permissions.

Any object that implements the IGrantable interface (ie., has an associated principal) can be granted permissions to a delivery stream by calling:

• grantPutRecords(principal) - grants the principal the ability to put records onto the delivery stream
• grant(principal, ...actions) - grants the principal permission to a custom set of actions

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_iam as iam

lambda_role = iam.Role(self, "Role",
    assumed_by=iam.ServicePrincipal("lambda.amazonaws.com")
)

# Give the role permissions to write data to the delivery stream
delivery_stream.grant_put_records(lambda_role)

The following write permissions are provided to a service principal by the grantPutRecords() method:

• firehose:PutRecord
• firehose:PutRecordBatch

Granting a delivery stream access to a resource

Conversely to the above, Kinesis Data Firehose requires permissions in order for delivery streams to interact with resources that you own. For example, if an S3 bucket is specified as a destination of a delivery stream, the delivery stream must be granted permissions to put and get objects from the bucket. When using the built-in AWS service destinations found in the @aws-cdk/aws-kinesisfirehose-destinations module, the CDK grants the permissions automatically. However, custom or third-party destinations may require custom permissions. In this case, use the delivery stream as an IGrantable, as follows:

# Example automatically generated. See https://github.com/aws/jsii/issues/826
import aws_cdk.aws_lambda as lambda_


fn = lambda_.Function(self, "Function",
    code=lambda_.Code.from_inline("exports.handler = (event) => {}"),
    runtime=lambda_.Runtime.NODEJS_14_X,
    handler="index.handler"
)

fn.grant_invoke(delivery_stream)

Multiple destinations

Though the delivery stream allows specifying an array of destinations, only one destination per delivery stream is currently allowed. This limitation is enforced at CDK synthesis time and will throw an error.