# AWS Service 1 to AWS Service 2

This pattern << explain usage >>

Learn more about this pattern at Serverless Land Patterns: << Add the live URL here >>

Important: this application uses various AWS services and there are costs associated with these services after the Free Tier usage - please see the [AWS Pricing page](https://aws.amazon.com/pricing/) for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.

## Requirements

* [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources.
* [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured
* [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed

## Deployment Instructions

1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
    ``` 
    git clone https://github.com/aws-samples/serverless-patterns
    ```
2. Change directory to the pattern directory:
    ```
    cd _patterns-model
    ```
3. Bootstrap environment -- only if you haven't already 
    ```
    cdk bootstrap
    ```

4.  Deploy the stack to your default AWS account and region:
    ```
    cdk deploy
    ```
## How it works

The CDK stack deploys the resources and the IAM permissions required to run the application.

This pattern deploys a Kinesis Firehose Delivery Stream, a transformation Lambda function, a destination S3 bucket, and all of the additional infrastructure required for the pattern.  

Kinesis Data Firehose can invoke a Lambda function to transform incoming source data and deliver the transformed data to destinations. In this architecture, Kinesis Data Firehose then invokes the specified Lambda function asynchronously with each buffered batch using the AWS Lambda synchronous invocation mode. The transformed data is sent from Lambda to Kinesis Data Firehose. Kinesis Data Firehose then sends it to the destination S3 bucket when the specified destination buffering size or buffering interval is reached, whichever happens first.

## Testing

Use the [AWS CLI](https://aws.amazon.com/cli/) to send a test event to EventBridge and observe the event delivered to the Lambda function by reviewing the Amazon CloudWatch Logs associated with the function:

1. Send an event to EventBridge:

```
aws firehose put-record --delivery-stream-name EventbridgeFirehoseTransformationCdkStack-firehosed-hW1CMmkjnn1N --record file://event.json
```

2. Check that test events are being sent to the destination S3 bucket (it will take a few minutes for events to begin streaming):

```
aws s3 ls s3://{destination bucket name} --recursive --human-readable --summarize
```

## Cleanup
 
Run the given command to delete the resources that were created. It might take some time for the CloudFormation stack to get deleted.
```
cdk destroy
```

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