Become an AWS pro by learning to run serverless applications with AWS Lambda. Developed by AWS Solution Certified Architects. Get hands-on, no setup, no cleanup, no hassle.

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In the world of modern development, serverless computing has become table stakes. Serverless computing has seen a major uptake with AWS Lambda having an increased adoption of 667% in 2018. Companies are making the switch to serverless for shorter time to market and decreased operational costs, but for you the advantage lies in the ability to offload the burden of managing infrastructure to serverless platforms, so you can focus on building even better apps.

In this course, you will learn how to run serverless applications using AWS Lambda. You’ll start with the basics such as creating a web service where you’ll learn the steps to deploy an AWS Serverless Application Model (SAM). You’ll then move on to more advanced topics such as handling HTTP Requests, using external storage, and managing sessions and user workflows. By the end of this course, you will be ready to work with AWS Lambda in a professional setting, and you’ll have a great, transferable skill that employers will love to see.

Running Serverless Applications with AWS Lambda

# Step 3: Deploy


You now have a single CloudFormation template (`output.yaml`) which describes the entire infrastructure and links to a packaged version of the function code. To create a running instance of your application, you'll need to create a new CloudFormation stack based on this template. To do that, run the following command in the directory that contains the packaged template (`output.yaml`):

```shell
sam deploy --template-file output.yaml --stack-name sam-test-1 --capabilities CAPABILITY_IAM
```

This command has three arguments:

* `--template-file` is the template to deploy. You want to use the result of the `package` command here, hence `output.yaml`.
* `--stack-name` is a name for the target stack. If a stack with the specified name does not yet exist in your AWS account, CloudFormation will create it. If you use the same name the next time you deploy, CloudFormation will update the existing resources instead of creating new ones. 
* `--capabilities CAPABILITY_IAM` allows CloudFormation to create IAM policies. SAM needs this to let the API Gateway call Lambda functions. Note that these are not security capabilities of the Lambda function, but instead the privileges required by the deployment process.
 
> **Note that you will use `sam-test-1` as the stack name to run all the commands in this course.**



Get ready to deploy the SAM application in this lesson!

Deploying a SAM Application

Getting Started

Setup Tools for Local Development

Creating a Web Service

Host a Serverless Application on AWS Lambda

Development and Troubleshooting

Core Features of AWS Lambda

Handling HTTP Requests

Using External Storage

Cheaper, Faster, Serverless

Handling Platform Events

Using Application Components

Managing Sessions and User Workflows

Designing Robust Applications

Deployment Options

Process Amazon SNS Notifications with AWS Lambda

Deploying a SAM Application

Step 3: Deploy