In preparation for a v2 release that will support the Lambda Runtime v2, I'm adding an end-to-end example project
QuoteAPI
This application illustrates how to deploy a Server-Side Swift workload on AWS using the AWS Serverless Application Model (SAM) toolkit. The workload is a simple REST API that returns a string from an Amazon API Gateway. Requests to the API Gateway endpoint are handled by an AWS Lambda Function written in Swift.
Prerequisites
To build this sample application, you need:
- AWS Account
- AWS Command Line Interface (AWS CLI) - install the CLI and configure it with credentials to your AWS account
- AWS SAM CLI - a command-line tool used to create serverless workloads on AWS
- Docker Desktop - to compile your Swift code for Linux deployment to AWS Lambda
Build the application
The sam build command uses Docker to compile your Swift Lambda function and package it for deployment to AWS.
sam build
Deploy the application
The sam deploy command creates the Lambda function and API Gateway in your AWS account.
sam deploy --guided
Accept the default response to every prompt, except the following warning:
QuoteService may not have authorization defined, Is this okay? [y/N]: y
The project creates a publicly accessible API endpoint. This is a warning to inform you the API does not have authorization. If you are interested in adding authorization to the API, please refer to the SAM Documentation.
Use the API
At the end of the deployment, SAM displays the endpoint of your API Gateway:
Outputs
----------------------------------------------------------------------------------------
Key SwiftAPIEndpoint
Description API Gateway endpoint URL for your application
Value https://[your-api-id].execute-api.[your-aws-region].amazonaws.com
----------------------------------------------------------------------------------------
Use cURL or a tool such as Postman to interact with your API. Replace [your-api-endpoint] with the SwiftAPIEndpoint value from the deployment output.
Invoke the API Endpoint
curl https://[your-api-endpoint]/stocks/AMZN
Test the API Locally
SAM also allows you to execute your Lambda functions locally on your development computer. Follow these instructions to execute the Lambda function locally. Further capabilities can be explored in the SAM Documentation.
Event Files
When a Lambda function is invoked, API Gateway sends an event to the function with all the data packaged with the API call. When running the functions locally, you pass in a json file to the function that simulates the event data. The events folder contains a json file for the function.
Invoke the Lambda Function Locally
sam local invoke QuoteService --event events/GetQuote.json
Cleanup
When finished with your application, use SAM to delete it from your AWS account. Answer Yes (y) to all prompts. This will delete all of the application resources created in your AWS account.
sam delete