This project contains source code and supporting files for a serverless application that you can deploy with the SAM CLI. It includes the following files and folders.
- hello_world - Code for the application's Lambda function.
- events - Invocation events that you can use to invoke the function.
- tests - Unit tests for the application code.
- template.yaml - A template that defines the application's AWS resources.
The application uses several AWS resources, including Lambda functions and an API Gateway API. These resources are defined in the template.yaml
file in this project. You can update the template to add AWS resources through the same deployment process that updates your application code.
If you prefer to use an integrated development environment (IDE) to build and test your application, you can use the AWS Toolkit. The AWS Toolkit is an open source plug-in for popular IDEs that uses the SAM CLI to build and deploy serverless applications on AWS. The AWS Toolkit also adds a simplified step-through debugging experience for Lambda function code. See the following links to get started.
The Serverless Application Model Command Line Interface (SAM CLI) is an extension of the AWS CLI that adds functionality for building and testing Lambda applications. It uses Docker to run your functions in an Amazon Linux environment that matches Lambda. It can also emulate your application's build environment and API.
To use the SAM CLI, you need the following tools.
- AWS CLI - Install the AWS CLI and [configure it with your AWS credentials].
- SAM CLI - Install the SAM CLI
- Python 3 installed
- Docker - Install Docker community edition
The SAM CLI uses an Amazon S3 bucket to store your application's deployment artifacts. If you don't have a bucket suitable for this purpose, create one. Replace BUCKET_NAME
in the commands in this section with a unique bucket name.
sam-schedule-app$ aws s3 mb s3://BUCKET_NAME
To prepare the application for deployment, use the sam package
command.
sam-schedule-app$ sam package \
--output-template-file packaged.yaml \
--s3-bucket BUCKET_NAME
The SAM CLI creates deployment packages, uploads them to the S3 bucket, and creates a new version of the template that refers to the artifacts in the bucket.
To deploy the application, use the sam deploy
command.
sam-schedule-app$ sam deploy \
--template-file packaged.yaml \
--stack-name sam-schedule-app \
--capabilities CAPABILITY_IAM
After deployment is complete you can run the following command to retrieve the API Gateway Endpoint URL:
sam-schedule-app$ aws cloudformation describe-stacks \
--stack-name sam-schedule-app \
--query 'Stacks[].Outputs[?OutputKey==`Schedule1Api`]' \
--output table
Build your application with the sam build
command.
sam-schedule-app$ sam build
The SAM CLI installs dependencies defined in hello_world/requirements.txt
, creates a deployment package, and saves it in the .aws-sam/build
folder.
Test a single function by invoking it directly with a test event. An event is a JSON document that represents the input that the function receives from the event source. Test events are included in the events
folder in this project.
Run functions locally and invoke them with the sam local invoke
command.
sam-schedule-app$ sam local invoke Schedule1Function --event events/event.json
The SAM CLI can also emulate your application's API. Use the sam local start-api
to run the API locally on port 3000.
sam-schedule-app$ sam local start-api
sam-schedule-app$ curl http://localhost:3000/
The SAM CLI reads the application template to determine the API's routes and the functions that they invoke. The Events
property on each function's definition includes the route and method for each path.
Events:
Schedule1:
Type: Api
Properties:
Path: /hello
Method: get
The application template uses AWS Serverless Application Model (AWS SAM) to define application resources. AWS SAM is an extension of AWS CloudFormation with a simpler syntax for configuring common serverless application resources such as functions, triggers, and APIs. For resources not included in the SAM specification, you can use standard AWS CloudFormation resource types.
To simplify troubleshooting, SAM CLI has a command called sam logs
. sam logs
lets you fetch logs generated by your deployed Lambda function from the command line. In addition to printing the logs on the terminal, this command has several nifty features to help you quickly find the bug.
NOTE
: This command works for all AWS Lambda functions; not just the ones you deploy using SAM.
sam-schedule-app$ sam logs -n Schedule1Function --stack-name sam-schedule-app --tail
You can find more information and examples about filtering Lambda function logs in the SAM CLI Documentation.
Tests are defined in the tests
folder in this project. Use PIP to install the pytest and run unit tests.
sam-schedule-app$ pip install pytest pytest-mock --user
sam-schedule-app$ python -m pytest tests/ -v
To delete the sample application and the bucket that you created, use the AWS CLI.
sam-schedule-app$ aws cloudformation delete-stack --stack-name sam-schedule-app
sam-schedule-app$ aws s3 rb s3://BUCKET_NAME
See the AWS SAM developer guide for an introduction to SAM specification, the SAM CLI, and serverless application concepts.
Next, you can use AWS Serverless Application Repository to deploy ready to use Apps that go beyond hello world samples and learn how authors developed their applications: AWS Serverless Application Repository main page