This pattern explains how to deploy a SAM application with Amazon API Gateway, AWS Lambda, and Amazon DynamoDB and DynamoDB Stream to trigger a Lambda. When an HTTP POST request is made to the Amazon API Gateway endpoint, the AWS Lambda function is invoked and inserts an item into the Amazon DynamoDB table, then an event will be pushed into Kinesis and trigger a Lambda function

Learn more about this pattern at Serverless Land Patterns: https://serverlessland.com/patterns/apigw-lambda-dynamodb-stream-lambda

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.

• 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.
• AWS CLI installed and configured
• Git Installed
• AWS Serverless Application Model (AWS SAM) installed

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 apigw-lambda-dynamodb-stream-lambda
   

3. From the command line, use AWS SAM to deploy the AWS resources for the pattern as specified in the template.yml file:

   sam deploy --guided
   

4. 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 --guided mode once and saved arguments to a configuration file (samconfig.toml), you can use sam deploy in future to use these defaults.

5. Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.

Explain how the service interaction works.

Provide steps to trigger the integration and show what should be observed if successful.

1. Delete the stack

   sam delete

2. Confirm the stack has been deleted

   aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus"

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