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Package software.amazon.awscdk.services.kinesisfirehose

Amazon Kinesis Data Firehose Construct Library

See: Description

Package software.amazon.awscdk.services.kinesisfirehose Description

Amazon Kinesis Data Firehose Construct Library

---

cfn-resources: Stable

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

cdk-constructs: Experimental

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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


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 software.amazon.awscdk.services.kinesisfirehose.destinations.*;
 import software.amazon.awscdk.services.s3.*;
 
 
 Bucket bucket = new Bucket(this, "Bucket");
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(new S3Bucket(bucket))));
 

The above example defines the following resources:

Sources

There are two main methods of sourcing input data: Kinesis Data Streams and via a "direct put".

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

Kinesis Data Stream

A delivery stream can read directly from a Kinesis data stream as a consumer of the data stream. Configure this behaviour by providing a data stream in the sourceStream property when constructing a delivery stream:

 // Example automatically generated. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.kinesis.*;
 
 
 Stream sourceStream = new Stream(this, "Source Stream");
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .sourceStream(sourceStream)
         .destinations(asList(destination)));
 

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:

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 software.amazon.awscdk.services.s3.*;
 import software.amazon.awscdk.services.kinesisfirehose.destinations.*;
 
 
 Bucket bucket = new Bucket(this, "Bucket");
 
 S3Bucket s3Destination = new S3Bucket(bucket);
 
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(s3Destination)));
 

The S3 destination also supports custom dynamic prefixes. prefix will be used for files successfully delivered to S3. errorOutputPrefix will be added to failed records before writing them to S3.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 Object s3Destination = S3Bucket.Builder.create(bucket)
         .dataOutputPrefix("myFirehose/DeliveredYear=!{timestamp:yyyy}/anyMonth/rand=!{firehose:random-string}")
         .errorOutputPrefix("myFirehoseFailures/!{firehose:error-output-type}/!{timestamp:yyyy}/anyMonth/!{timestamp:dd}")
         .build();
 

See: Custom S3 Prefixes in the Kinesis Data Firehose Developer Guide.

Server-side Encryption

Enabling server-side encryption (SSE) requires Kinesis Data Firehose to encrypt all data sent to delivery stream when it is stored at rest. This means that data is encrypted before being written to the service's internal storage layer and decrypted after it is received from the internal storage layer. The service manages keys and cryptographic operations so that sources and destinations do not need to, as the data is encrypted and decrypted at the boundaries of the service (ie., before the data is delivered to a destination). By default, delivery streams do not have SSE enabled.

The Key Management Service (KMS) Customer Managed Key (CMK) used for SSE can either be AWS-owned or customer-managed. AWS-owned CMKs are keys that an AWS service (in this case Kinesis Data Firehose) owns and manages for use in multiple AWS accounts. As a customer, you cannot view, use, track, or manage these keys, and you are not charged for their use. On the other hand, customer-managed CMKs are keys that are created and owned within your account and managed entirely by you. As a customer, you are responsible for managing access, rotation, aliases, and deletion for these keys, and you are changed for their use. See: Customer master keys in the KMS Developer Guide.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.kms.*;
 
 
 // SSE with an AWS-owned CMK
 // SSE with an AWS-owned CMK
 new DeliveryStream(this, "Delivery Stream AWS Owned", new DeliveryStreamProps()
         .encryption(StreamEncryption.getAWS_OWNED())
         .destinations(asList(destination)));
 // SSE with an customer-managed CMK that is created automatically by the CDK
 // SSE with an customer-managed CMK that is created automatically by the CDK
 new DeliveryStream(this, "Delivery Stream Implicit Customer Managed", new DeliveryStreamProps()
         .encryption(StreamEncryption.getCUSTOMER_MANAGED())
         .destinations(asList(destination)));
 // SSE with an customer-managed CMK that is explicitly specified
 Key key = new Key(this, "Key");
 new DeliveryStream(this, "Delivery Stream Explicit Customer Managed", new DeliveryStreamProps()
         .encryptionKey(key)
         .destinations(asList(destination)));
 

See: Data Protection in the Kinesis Data Firehose Developer Guide.

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 software.amazon.awscdk.services.kinesisfirehose.destinations.*;
 import software.amazon.awscdk.services.logs.*;
 
 
 LogGroup logGroup = new LogGroup(this, "Log Group");
 S3Bucket destination = new S3Bucket(bucket, new S3BucketProps()
         .logGroup(logGroup));
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination)));
 

Logging can also be disabled:

 // Example automatically generated. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.kinesisfirehose.destinations.*;
 
 
 S3Bucket destination = new S3Bucket(bucket, new S3BucketProps()
         .logging(false));
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination)));
 

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

Metrics

Kinesis Data Firehose sends metrics to CloudWatch so that you can collect and analyze the performance of the delivery stream, including data delivery, data ingestion, data transformation, format conversion, API usage, encryption, and resource usage. You can then use CloudWatch alarms to alert you, for example, when data freshness (the age of the oldest record in the delivery stream) exceeds the buffering limit (indicating that data is not being delivered to your destination), or when the rate of incoming records exceeds the limit of records per second (indicating data is flowing into your delivery stream faster than it is configured to process).

CDK provides methods for accessing delivery stream metrics with default configuration, such as metricIncomingBytes, and metricIncomingRecords (see IDeliveryStream for a full list). CDK also provides a generic metric method that can be used to produce metric configurations for any metric provided by Kinesis Data Firehose; the configurations are pre-populated with the correct dimensions for the delivery stream.

 // Example automatically generated. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.cloudwatch.*;
 
 
 // Alarm that triggers when the per-second average of incoming bytes exceeds 90% of the current service limit
 MathExpression incomingBytesPercentOfLimit = new MathExpression(new MathExpressionProps()
         .expression("incomingBytes / 300 / bytePerSecLimit")
         .usingMetrics(Map.of(
                 "incomingBytes", deliveryStream.metricIncomingBytes(new MetricOptions().statistic(cloudwatch.Statistic.getSUM())),
                 "bytePerSecLimit", deliveryStream.metric("BytesPerSecondLimit"))));
 new Alarm(this, "Alarm", new AlarmProps()
         .metric(incomingBytesPercentOfLimit)
         .threshold(0.9)
         .evaluationPeriods(3));
 

See: Monitoring Using CloudWatch Metrics in the Kinesis Data Firehose Developer Guide.

Compression

Your data can automatically be compressed when it is delivered to S3 as either a final or an intermediary/backup destination. Supported compression formats are: gzip, Snappy, Hadoop-compatible Snappy, and ZIP, except for Redshift destinations, where Snappy (regardless of Hadoop-compatibility) and ZIP are not supported. By default, data is delivered to S3 without compression.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 // Compress data delivered to S3 using Snappy
 Object s3Destination = S3Bucket.Builder.create(bucket)
         .compression(Compression.getSNAPPY())
         .build();
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination)));
 

Buffering

Incoming data is buffered before it is delivered to the specified destination. The delivery stream will wait until the amount of incoming data has exceeded some threshold (the "buffer size") or until the time since the last data delivery occurred exceeds some threshold (the "buffer interval"), whichever happens first. You can configure these thresholds based on the capabilities of the destination and your use-case. By default, the buffer size is 5 MiB and the buffer interval is 5 minutes.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.core.*;
 
 
 // Increase the buffer interval and size to 10 minutes and 8 MiB, respectively
 Object destination = S3Bucket.Builder.create(bucket)
         .bufferingInterval(cdk.Duration.minutes(10))
         .bufferingSize(cdk.Size.mebibytes(8))
         .build();
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination)));
 

See: Data Delivery Frequency in the Kinesis Data Firehose Developer Guide.

Destination Encryption

Your data can be automatically encrypted when it is delivered to S3 as a final or an intermediary/backup destination. Kinesis Data Firehose supports Amazon S3 server-side encryption with AWS Key Management Service (AWS KMS) for encrypting delivered data in Amazon S3. You can choose to not encrypt the data or to encrypt with a key from the list of AWS KMS keys that you own. For more information, see Protecting Data Using Server-Side Encryption with AWS KMS–Managed Keys (SSE-KMS). Data is not encrypted by default.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.core.*;
 import software.amazon.awscdk.services.kms.*;
 
 
 Object destination = S3Bucket.Builder.create(bucket)
         .encryptionKey(new Key(this, "MyKey"))
         .build();
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination)));
 

Backup

A delivery stream can be configured to backup data to S3 that it attempted to deliver to the configured destination. Backed up data can be all the data that the delivery stream attempted to deliver or just data that it failed to deliver (Redshift and S3 destinations can only backup all data). CDK can create a new S3 bucket where it will back up data or you can provide a bucket where data will be backed up. You can also provide a prefix under which your backed-up data will be placed within the bucket. By default, source data is not backed up to S3.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.kinesisfirehose.destinations.*;
 import software.amazon.awscdk.services.s3.*;
 
 
 // Enable backup of all source records (to an S3 bucket created by CDK).
 // Enable backup of all source records (to an S3 bucket created by CDK).
 new DeliveryStream(this, "Delivery Stream Backup All", new DeliveryStreamProps()
         .destinations(asList(
             new S3Bucket(bucket, new S3BucketProps()
                     .s3Backup(new DestinationS3BackupProps()
                             .mode(BackupMode.getALL()))))));
 // Explicitly provide an S3 bucket to which all source records will be backed up.
 Bucket backupBucket = new Bucket(this, "Bucket");
 new DeliveryStream(this, "Delivery Stream Backup All Explicit Bucket", new DeliveryStreamProps()
         .destinations(asList(
             new S3Bucket(bucket, new S3BucketProps()
                     .s3Backup(new DestinationS3BackupProps()
                             .bucket(backupBucket))))));
 // Explicitly provide an S3 prefix under which all source records will be backed up.
 // Explicitly provide an S3 prefix under which all source records will be backed up.
 new DeliveryStream(this, "Delivery Stream Backup All Explicit Prefix", new DeliveryStreamProps()
         .destinations(asList(
             new S3Bucket(bucket, new S3BucketProps()
                     .s3Backup(new DestinationS3BackupProps()
                             .mode(BackupMode.getALL())
                             .dataOutputPrefix("mybackup"))))));
 

If any Data Processing or Transformation is configured on your Delivery Stream, the source records will be backed up in their original format.

Data Processing/Transformation

Data can be transformed before being delivered to destinations. There are two types of data processing for delivery streams: record transformation with AWS Lambda, and record format conversion using a schema stored in an AWS Glue table. If both types of data processing are configured, then the Lambda transformation is performed first. By default, no data processing occurs. This construct library currently only supports data transformation with AWS Lambda. See #15501 to track the status of adding support for record format conversion.

Data transformation with AWS Lambda

To transform the data, Kinesis Data Firehose will call a Lambda function that you provide and deliver the data returned in place of the source record. The function must return a result that contains records in a specific format, including the following fields:

The data is buffered up to 1 minute and up to 3 MiB by default before being sent to the function, but can be configured using bufferInterval and bufferSize in the processor configuration (see: Buffering). If the function invocation fails due to a network timeout or because of hitting an invocation limit, the invocation is retried 3 times by default, but can be configured using retries in the processor configuration.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.core.*;
 import software.amazon.awscdk.services.lambda.*;
 
 
 // Provide a Lambda function that will transform records before delivery, with custom
 // buffering and retry configuration
 Function lambdaFunction = new Function(this, "Processor", new FunctionProps()
         .runtime(lambda.Runtime.getNODEJS_12_X())
         .handler("index.handler")
         .code(lambda.Code.fromAsset(path.join(__dirname, "process-records"))));
 Object lambdaProcessor = LambdaFunctionProcessor.Builder.create(lambdaFunction)
         .bufferingInterval(cdk.Duration.minutes(5))
         .bufferingSize(cdk.Size.mebibytes(5))
         .retries(5)
         .build();
 Object s3Destination = S3Bucket.Builder.create(bucket)
         .processor(lambdaProcessor)
         .build();
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination)));
 

 // Example automatically generated. See https://github.com/aws/jsii/issues/826
 import path.*;
 import software.amazon.awscdk.services.kinesisfirehose.*;
 import software.amazon.awscdk.services.kms.*;
 import software.amazon.awscdk.services.lambda.nodejs.*;
 import software.amazon.awscdk.services.logs.*;
 import software.amazon.awscdk.services.s3.*;
 import software.amazon.awscdk.core.*;
 import lib.*;
 
 App app = new App();
 
 Stack stack = new Stack(app, "aws-cdk-firehose-delivery-stream-s3-all-properties");
 
 Bucket bucket = new Bucket(stack, "Bucket", new BucketProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY())
         .autoDeleteObjects(true));
 
 Bucket backupBucket = new Bucket(stack, "BackupBucket", new BucketProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY())
         .autoDeleteObjects(true));
 LogGroup logGroup = new LogGroup(stack, "LogGroup", new LogGroupProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY()));
 
 NodejsFunction dataProcessorFunction = new NodejsFunction(stack, "DataProcessorFunction", new NodejsFunctionProps()
         .entry(path.join(__dirname, "lambda-data-processor.js"))
         .timeout(cdk.Duration.minutes(1)));
 
 LambdaFunctionProcessor processor = new LambdaFunctionProcessor(dataProcessorFunction, new DataProcessorProps()
         .bufferInterval(cdk.Duration.seconds(60))
         .bufferSize(cdk.Size.mebibytes(1))
         .retries(1));
 
 Key key = new Key(stack, "Key", new KeyProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY()));
 
 Key backupKey = new Key(stack, "BackupKey", new KeyProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY()));
 
 new DeliveryStream(stack, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(new S3Bucket(bucket, new S3BucketProps()
                 .logging(true)
                 .logGroup(logGroup)
                 .processor(processor)
                 .compression(destinations.Compression.getGZIP())
                 .dataOutputPrefix("regularPrefix")
                 .errorOutputPrefix("errorPrefix")
                 .bufferingInterval(cdk.Duration.seconds(60))
                 .bufferingSize(cdk.Size.mebibytes(1))
                 .encryptionKey(key)
                 .s3Backup(new DestinationS3BackupProps()
                         .mode(destinations.BackupMode.getALL())
                         .bucket(backupBucket)
                         .compression(destinations.Compression.getZIP())
                         .dataOutputPrefix("backupPrefix")
                         .errorOutputPrefix("backupErrorPrefix")
                         .bufferingInterval(cdk.Duration.seconds(60))
                         .bufferingSize(cdk.Size.mebibytes(1))
                         .encryptionKey(backupKey))))));
 
 app.synth();
 

!cdk-integ pragma:ignore-assets

 // Example automatically generated. See https://github.com/aws/jsii/issues/826
 import path.*;
 import software.amazon.awscdk.services.kinesisfirehose.*;
 import software.amazon.awscdk.services.kms.*;
 import software.amazon.awscdk.services.lambda.nodejs.*;
 import software.amazon.awscdk.services.logs.*;
 import software.amazon.awscdk.services.s3.*;
 import software.amazon.awscdk.core.*;
 import lib.*;
 
 App app = new App();
 
 Stack stack = new Stack(app, "aws-cdk-firehose-delivery-stream-s3-all-properties");
 
 Bucket bucket = new Bucket(stack, "Bucket", new BucketProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY())
         .autoDeleteObjects(true));
 
 Bucket backupBucket = new Bucket(stack, "BackupBucket", new BucketProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY())
         .autoDeleteObjects(true));
 LogGroup logGroup = new LogGroup(stack, "LogGroup", new LogGroupProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY()));
 
 NodejsFunction dataProcessorFunction = new NodejsFunction(stack, "DataProcessorFunction", new NodejsFunctionProps()
         .entry(path.join(__dirname, "lambda-data-processor.js"))
         .timeout(cdk.Duration.minutes(1)));
 
 LambdaFunctionProcessor processor = new LambdaFunctionProcessor(dataProcessorFunction, new DataProcessorProps()
         .bufferInterval(cdk.Duration.seconds(60))
         .bufferSize(cdk.Size.mebibytes(1))
         .retries(1));
 
 Key key = new Key(stack, "Key", new KeyProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY()));
 
 Key backupKey = new Key(stack, "BackupKey", new KeyProps()
         .removalPolicy(cdk.RemovalPolicy.getDESTROY()));
 
 new DeliveryStream(stack, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(new S3Bucket(bucket, new S3BucketProps()
                 .logging(true)
                 .logGroup(logGroup)
                 .processor(processor)
                 .compression(destinations.Compression.getGZIP())
                 .dataOutputPrefix("regularPrefix")
                 .errorOutputPrefix("errorPrefix")
                 .bufferingInterval(cdk.Duration.seconds(60))
                 .bufferingSize(cdk.Size.mebibytes(1))
                 .encryptionKey(key)
                 .s3Backup(new DestinationS3BackupProps()
                         .mode(destinations.BackupMode.getALL())
                         .bucket(backupBucket)
                         .compression(destinations.Compression.getZIP())
                         .dataOutputPrefix("backupPrefix")
                         .errorOutputPrefix("backupErrorPrefix")
                         .bufferingInterval(cdk.Duration.seconds(60))
                         .bufferingSize(cdk.Size.mebibytes(1))
                         .encryptionKey(backupKey))))));
 
 app.synth();
 

See: Data Transformation 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 software.amazon.awscdk.services.kinesisfirehose.destinations.*;
 import software.amazon.awscdk.services.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.
 Role deliveryStreamRole = new Role(this, "Delivery Stream Role", new RoleProps()
         .assumedBy(new ServicePrincipal("firehose.amazonaws.com")));
 Role destinationRole = new Role(this, "Destination Role", new RoleProps()
         .assumedBy(new ServicePrincipal("firehose.amazonaws.com")));
 
 // Specify the roles created above when defining the destination and delivery stream.
 S3Bucket destination = new S3Bucket(bucket, new S3BucketProps().role(destinationRole));
 new DeliveryStream(this, "Delivery Stream", new DeliveryStreamProps()
         .destinations(asList(destination))
         .role(deliveryStreamRole));
 

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:

 // Example automatically generated. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.iam.*;
 
 
 Role lambdaRole = new Role(this, "Role", new RoleProps()
         .assumedBy(new ServicePrincipal("lambda.amazonaws.com")));
 
 // Give the role permissions to write data to the delivery stream
 deliveryStream.grantPutRecords(lambdaRole);
 

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

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 software.amazon.awscdk.services.lambda.*;
 
 
 Function fn = new Function(this, "Function", new FunctionProps()
         .code(lambda.Code.fromInline("exports.handler = (event) => {}"))
         .runtime(lambda.Runtime.getNODEJS_14_X())
         .handler("index.handler"));
 
 fn.grantInvoke(deliveryStream);
 

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.

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