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https://github.com/int128/hello-sam

Hello AWS SAM
https://github.com/int128/hello-sam

aws-lambda aws-sam

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Hello AWS SAM

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# Hello AWS SAM

An example on AWS SAM.

This sends the following events to the Slack channel:

- API Gateway
- SNS

## Getting Started

Prerequisite:

- You have an AWS account.
- You have configured your IAM access key.

Then create a bucket.

```sh
export AWS_PROFILE=hello
make bucket
```

### Build a stack

Deploy:

```sh
make deploy
```

You can see progress on https://console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks

After deployment:

1. Set up a Slack Incoming Webhook.
1. Set `SLACK_WEBHOOK` variable on https://console.aws.amazon.com/lambda/home?region=us-east-1

You can see log on https://console.aws.amazon.com/cloudwatch/home?region=us-east-1#logs:

### Destroy the stack

```sh
make destroy
```

----

This is a sample template for sam-app - Below is a brief explanation of what we have generated for you:

```bash
.
├── README.md <-- This instructions file
├── hello_world <-- Source code for a lambda function
│ ├── app.js <-- Lambda function code
│ ├── package.json <-- NodeJS dependencies
│ └── tests <-- Unit tests
│ └── unit
│ └── test_handler.js
└── template.yaml <-- SAM template
```

## Requirements

* AWS CLI already configured with at least PowerUser permission
* [NodeJS 8.10+ installed](https://nodejs.org/en/download/)
* [Docker installed](https://www.docker.com/community-edition)

## Setup process

### Installing dependencies

In this example we use `npm` but you can use `yarn` if you prefer to manage NodeJS dependencies:

```bash
cd hello_world
npm install
cd ../
```

### Local development

**Invoking function locally through local API Gateway**

```bash
sam local start-api
```

If the previous command ran successfully you should now be able to hit the following local endpoint to invoke your function `http://localhost:3000/hello`

**SAM CLI** is used to emulate both Lambda and API Gateway locally and uses our `template.yaml` to understand how to bootstrap this environment (runtime, where the source code is, etc.) - The following excerpt is what the CLI will read in order to initialize an API and its routes:

```yaml
...
Events:
HelloWorld:
Type: Api # More info about API Event Source: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#api
Properties:
Path: /hello
Method: get
```

## Packaging and deployment

AWS Lambda NodeJS runtime requires a flat folder with all dependencies including the application. SAM will use `CodeUri` property to know where to look up for both application and dependencies:

```yaml
...
FirstFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: hello_world/
...
```

Firstly, we need a `S3 bucket` where we can upload our Lambda functions packaged as ZIP before we deploy anything - If you don't have a S3 bucket to store code artifacts then this is a good time to create one:

```bash
aws s3 mb s3://BUCKET_NAME
```

Next, run the following command to package our Lambda function to S3:

```bash
sam package \
--template-file template.yaml \
--output-template-file packaged.yaml \
--s3-bucket REPLACE_THIS_WITH_YOUR_S3_BUCKET_NAME
```

Next, the following command will create a Cloudformation Stack and deploy your SAM resources.

```bash
sam deploy \
--template-file packaged.yaml \
--stack-name sam-app \
--capabilities CAPABILITY_IAM
```

> **See [Serverless Application Model (SAM) HOWTO Guide](https://github.com/awslabs/serverless-application-model/blob/master/HOWTO.md) for more details in how to get started.**

After deployment is complete you can run the following command to retrieve the API Gateway Endpoint URL:

```bash
aws cloudformation describe-stacks \
--stack-name sam-app \
--query 'Stacks[].Outputs'
```

## Testing

We use `jest` for testing our code and it is already added in `package.json` under `scripts`, so that we can simply run the following command to run our tests:

```bash
cd hello_world
npm run test
```

# Appendix

## AWS CLI commands

AWS CLI commands to package, deploy and describe outputs defined within the cloudformation stack:

```bash
sam package \
--template-file template.yaml \
--output-template-file packaged.yaml \
--s3-bucket REPLACE_THIS_WITH_YOUR_S3_BUCKET_NAME

sam deploy \
--template-file packaged.yaml \
--stack-name sam-app \
--capabilities CAPABILITY_IAM \
--parameter-overrides MyParameterSample=MySampleValue

aws cloudformation describe-stacks \
--stack-name sam-app --query 'Stacks[].Outputs'
```

**NOTE**: Alternatively this could be part of package.json scripts section.

## Bringing to the next level

Here are a few ideas that you can use to get more acquainted as to how this overall process works:

* Create an additional API resource (e.g. /hello/{proxy+}) and return the name requested through this new path
* Update unit test to capture that
* Package & Deploy

Next, you can use the following resources to know more about beyond hello world samples and how others structure their Serverless applications:

* [AWS Serverless Application Repository](https://aws.amazon.com/serverless/serverlessrepo/)