This is a template for simple serverless lambda functions. It uses Terraform to manage the infrastructure and AWS Lambda to run the code.

• Terraform
• AWS CLI
• Node.js
• AWS Account

1. Install the prerequisites
2. Run npm install in functions to install the dependencies
3. Run npm run build in functions to build the code
4. Run terraform init in cloud to initialize Terraform
5. Run terraform apply in cloud to create the infrastructure

The terraform apply command will output the Lambda Function URLs. You can use this URL to make requests to the lambda function.

1. Simply add new lambda functions in the functions/src directory and run npm run build to build the code.
2. In the cloud/api.tf file, add a new function in the locals.functions block.
3. Then run terraform apply to deploy the new function.

1. Update the lambda function in the functions/src directory and run npm run build to build the code.
2. Run terraform apply to update the function.

1. In the cloud/api.tf file, remove the function from the locals.functions block.
2. Run terraform apply to delete the function.

In the cloud/api.tf file, you can modify the function configuration in the locals.functions block. If you want to change the function name, memory size, timeout, or environment variables, you can do so in this block. For other configurations, you can modify the aws_lambda_function resource.

In the cloud directory, you can modify the main.tf file to customize the infrastructure configuration. You can update the project name, region, and other configurations in this file.

You can use Terraform workspaces to manage different environments. For example, you can create a prod workspace and a dev workspace. You can then use the terraform workspace select command to switch between the environments. The AWS resources will be tagged and named based on the workspace name.

This project is licensed under the MIT License - see the LICENSE file for details.