This SAM template deploys resources needed to send iot events to IoT Core service to forward these events through an IoT Rule to SQS Queue with bring-your-own custom authozier for device authentication.
- 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
- Node and NPM installed
-
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 iot-mqttoverhttp-customauth -
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 --capabilities CAPABILITY_NAMED_IAM -
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.
Explain how the service interaction works.
Use your choise of http client for testing against this endpoint: POST ${IoT Core Data Endpoint}/topics/$aws/rules/device_events with json body and http header 'x-amz-customauthorizer-name: anonymous-authorizer'.
- Delete the stack
aws cloudformation delete-stack --stack-name STACK_NAME
- Confirm the stack has been deleted
aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus"
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