README
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Amazon Kinesis Data Firehose Data Transformation with AWS Lambda
This pattern deploys a Kinesis Data Firehose that invokes a Lambda function to transform incoming source data and deliver the transformed data to destinations.
Learn more about this pattern at Serverless Land Patterns: https://serverlessland.com/patterns/firehose-transformation-sam-go
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 for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.
Requirements
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Create an AWS account 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.
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AWS CLI installed and configured
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AWS Serverless Application Model (AWS SAM) installed
Deployment Instructions
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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 -
Change directory to the pattern directory:
cd <add our project folder name here> -
From the command line, use AWS SAM to build and deploy the AWS resources for the pattern as specified in the template.yml file:
sam build sam deploy --guided -
During the prompts:
- Enter a stack name
- Enter the desired AWS Region
- Allow SAM CLI to create IAM roles with the required permissions.
Once you have run
sam deploy -guidedmode once and saved arguments to a configuration file (samconfig.toml), you can usesam deployin future to use these defaults. -
Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.
How it works
Delete stack
sam delete
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SPDX-License-Identifier: MIT-0
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