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…rifications (#31840)

### Description of changes

Update the README to have the service be called *Amazon Data Firehose* instead of *Kinesis Data Firehose* as it has been renamed earlier this year: https://aws.amazon.com/about-aws/whats-new/2024/02/amazon-data-firehose-formerly-kinesis-data-firehose/

Additionally some more edits to include clarifications. 

### Description of how you validated changes



### Checklist
- [x] My code adheres to the [CONTRIBUTING GUIDE](https://github.com/aws/aws-cdk/blob/main/CONTRIBUTING.md) and [DESIGN GUIDELINES](https://github.com/aws/aws-cdk/blob/main/docs/DESIGN_GUIDELINES.md)

----

*By submitting this pull request, I confirm that my contribution is made under the terms of the Apache-2.0 license*
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# Amazon Kinesis Data Firehose Construct Library
# Amazon Data Firehose Construct Library

<!--BEGIN STABILITY BANNER-->

Expand All @@ -16,13 +16,13 @@

<!--END STABILITY BANNER-->

[Amazon Kinesis Data Firehose](https://docs.aws.amazon.com/firehose/latest/dev/what-is-this-service.html)
[Amazon Data Firehose](https://docs.aws.amazon.com/firehose/latest/dev/what-is-this-service.html), [formerly known as Amazon Kinesis Data Firehose](https://aws.amazon.com/about-aws/whats-new/2024/02/amazon-data-firehose-formerly-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
Amazon Data Firehose delivery streams are distinguished from Kinesis data streams in
their models of consumption. 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
Expand All @@ -31,12 +31,12 @@ intended to have destinations that are sources for offline processing and analyt
as Amazon S3 and Amazon Redshift.

This module is part of the [AWS Cloud Development Kit](https://github.com/aws/aws-cdk)
project. It allows you to define Kinesis Data Firehose delivery streams.
project. It allows you to define Amazon 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](#destinations).
used as a destination. Currently the CDK supports only S3 as a destination which is covered [below](#destinations).

```ts
const bucket = new s3.Bucket(this, 'Bucket');
Expand All @@ -48,16 +48,16 @@ new firehose.DeliveryStream(this, 'Delivery Stream', {
The above example defines the following resources:

- An S3 bucket
- A Kinesis Data Firehose delivery stream with Direct PUT as the source and CloudWatch
- An Amazon 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

A Kinesis Data Firehose delivery stream can accept data from three main sources: Kinesis Data Streams, Managed Streaming for Apache Kafka (MSK), or via a "direct put" (API calls).
An Amazon Data Firehose delivery stream can accept data from three main sources: Kinesis Data Streams, Managed Streaming for Apache Kafka (MSK), or via a "direct put" (API calls).

See: [Sending Data to a Delivery Stream](https://docs.aws.amazon.com/firehose/latest/dev/basic-write.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

### Kinesis Data Stream

Expand All @@ -81,11 +81,11 @@ 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](https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html)
in the *Kinesis Data Firehose Developer Guide*.
handling file rotation, checkpointing, and retries. See: [Writing to Amazon Data Firehose Using Kinesis Agent](https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html)
in the *Amazon 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](https://docs.aws.amazon.com/firehose/latest/dev/writing-with-sdk.html)
in the *Kinesis Data Firehose Developer Guide*.
from anywhere using Java, .NET, Node.js, Python, or Ruby. See: [Writing to Amazon Data Firehose Using the AWS SDK](https://docs.aws.amazon.com/firehose/latest/dev/writing-with-sdk.html)
in the *Amazon Data Firehose Developer Guide*.
- CloudWatch Logs: subscribe to a log group and receive filtered log events directly into
a delivery stream. See: [logs-destinations](https://docs.aws.amazon.com/cdk/api/latest/docs/aws-logs-destinations-readme.html).
- Eventbridge: add an event rule target to send events to a delivery stream based on the
Expand Down Expand Up @@ -125,11 +125,11 @@ const s3Destination = new destinations.S3Bucket(bucket, {
```

See: [Custom S3 Prefixes](https://docs.aws.amazon.com/firehose/latest/dev/s3-prefixes.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

## Server-side Encryption

Enabling server-side encryption (SSE) requires Kinesis Data Firehose to encrypt all data
Enabling server-side encryption (SSE) requires Amazon 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
Expand All @@ -152,39 +152,40 @@ in the *KMS Developer Guide*.
declare const destination: firehose.IDestination;

// SSE with an AWS-owned key
new firehose.DeliveryStream(this, 'Delivery Stream AWS Owned', {
new firehose.DeliveryStream(this, 'Delivery Stream with AWS Owned Key', {
encryption: firehose.StreamEncryption.awsOwnedKey(),
destination: destination,
});
// SSE with an customer-managed key that is created automatically by the CDK
new firehose.DeliveryStream(this, 'Delivery Stream Implicit Customer Managed', {
new firehose.DeliveryStream(this, 'Delivery Stream with Customer Managed Key', {
encryption: firehose.StreamEncryption.customerManagedKey(),
destination: destination,
});
// SSE with an customer-managed key that is explicitly specified
declare const key: kms.Key;
new firehose.DeliveryStream(this, 'Delivery Stream Explicit Customer Managed', {
new firehose.DeliveryStream(this, 'Delivery Stream with Customer Managed and Provided Key', {
encryption: firehose.StreamEncryption.customerManagedKey(key),
destination: destination,
});
```

See: [Data Protection](https://docs.aws.amazon.com/firehose/latest/dev/encryption.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

## Monitoring

Kinesis Data Firehose is integrated with CloudWatch, so you can monitor the performance of
Amazon 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
Amazon 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.

When creating a destination, you can provide an `ILoggingConfig`, which can either be an `EnableLogging` or `DisableLogging` instance.
If you use `EnableLogging`, you can specify a log group where the CDK will create log streams to capture and store log events. For example:
If you use `EnableLogging`, the CDK will create a CloudWatch LogGroup and LogStream with all CloudFormation default settings for you, or you can optionally
specify your own log group to be used for capturing and storing log events. For example:

```ts
import * as logs from 'aws-cdk-lib/aws-logs';
Expand Down Expand Up @@ -213,11 +214,11 @@ new firehose.DeliveryStream(this, 'Delivery Stream', {
```

See: [Monitoring using CloudWatch Logs](https://docs.aws.amazon.com/firehose/latest/dev/monitoring-with-cloudwatch-logs.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

### Metrics

Kinesis Data Firehose sends metrics to CloudWatch so that you can collect and analyze the
Amazon 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
Expand All @@ -229,7 +230,7 @@ than it is configured to process).
CDK provides methods for accessing delivery stream metrics with default configuration,
such as `metricIncomingBytes`, and `metricIncomingRecords` (see [`IDeliveryStream`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-kinesisfirehose.IDeliveryStream.html)
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
metric configurations for any metric provided by Amazon Data Firehose; the configurations
are pre-populated with the correct dimensions for the delivery stream.

```ts
Expand All @@ -254,7 +255,7 @@ new cloudwatch.Alarm(this, 'Alarm', {
```

See: [Monitoring Using CloudWatch Metrics](https://docs.aws.amazon.com/firehose/latest/dev/monitoring-with-cloudwatch-metrics.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

## Compression

Expand Down Expand Up @@ -297,9 +298,9 @@ new firehose.DeliveryStream(this, 'Delivery Stream', {
```

See: [Data Delivery Frequency](https://docs.aws.amazon.com/firehose/latest/dev/basic-deliver.html#frequency)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

Zero buffering, where Amazon Kinesis Data Firehose stream can be configured to not buffer data before delivery, is supported by
Zero buffering, where Amazon Data Firehose stream can be configured to not buffer data before delivery, is supported by
setting the "buffer interval" to 0.

```ts
Expand All @@ -318,7 +319,7 @@ See: [Buffering Hints](https://docs.aws.amazon.com/firehose/latest/dev/buffering
## 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
intermediary/backup destination. Amazon 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,
Expand Down Expand Up @@ -394,7 +395,7 @@ 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
To transform the data, Amazon 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:

Expand Down Expand Up @@ -435,29 +436,29 @@ new firehose.DeliveryStream(this, 'Delivery Stream', {
[Example Lambda data processor performing the identity transformation.](../aws-kinesisfirehose-destinations-alpha/test/integ.s3-bucket.lit.ts)

See: [Data Transformation](https://docs.aws.amazon.com/firehose/latest/dev/data-transformation.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon 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
necessary permissions for Amazon Data Firehose to access the resources referenced by your
delivery stream. One service role is created for the delivery stream that allows Amazon
Data Firehose to read from a Kinesis data stream (if one is configured as the delivery
stream source) and for server-side encryption. Note that if the DeliveryStream is created
without specifying a `source` or `encryptionKey`, this role is not created as it is not needed.

Another service role is created for each destination, which gives Kinesis Data Firehose write
Another service role is created for each destination, which gives Amazon 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
trust policy (it must allow Amazon 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.

```ts
// 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.
// They must include the Amazon Data Firehose service principal in their trust policies.
// Two separate roles are shown below, but the same role can be used for both purposes.
const deliveryStreamRole = new iam.Role(this, 'Delivery Stream Role', {
assumedBy: new iam.ServicePrincipal('firehose.amazonaws.com'),
Expand All @@ -476,7 +477,7 @@ new firehose.DeliveryStream(this, 'Delivery Stream', {
```

See [Controlling Access](https://docs.aws.amazon.com/firehose/latest/dev/controlling-access.html)
in the *Kinesis Data Firehose Developer Guide*.
in the *Amazon Data Firehose Developer Guide*.

## Granting application access to a delivery stream

Expand Down Expand Up @@ -509,7 +510,7 @@ The following write permissions are provided to a service principal by the

## Granting a delivery stream access to a resource

Conversely to the above, Kinesis Data Firehose requires permissions in order for delivery
Conversely to the above, Amazon 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
Expand All @@ -527,9 +528,3 @@ const fn = new lambda.Function(this, 'Function', {
declare const deliveryStream: firehose.DeliveryStream;
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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