The SAM template deploys a API Gateway REST API with Lambda function integration and the IAM permissions required to run the application. Whenever the REST API is invoked, the Lambda function publishes a message to the SES.
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
- Verified email addresses in SES
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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 apigw-lambda-ses -
From the command line, use AWS SAM to deploy the AWS resources for the pattern as specified in the template.yaml file:
sam deploy --guided --parameter-overrides SENDER=sender@email.com RECIPIENT=recipient@email.com -
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.
-
Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.
The stack will output the api endpoint. You can use Postman or curl to send a GET request to the API Gateway endpoint.
curl --location --request GET 'https://<api_id>.execute-api.<region>.amazonaws.com/s1/'
- Delete the stack
sam delete
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