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

## Installing JavaScript tools

### Node.js
In this course, you'll be using JavaScript with Node.js for developing Lambda functions. (You do not need Node.js to work with SAM in a different language, but you will need the appropriate tools for that language.) To try examples from the book directly, you'll need Node.js 12 or later installed. To check whether Node.js is installed on your machine, run the following command:

```shell
node --version
```

Get the Node.js installer for your operating system from <https://nodejs.org/> if this command prints an error.

#### Node Version Manager
The latest Node.js version currently supported by Lambda is 12. You should get Node 12 even if you have a more recent installation. You can manage multiple versions of Node.js on the same system using the [Node Version Manager](https://github.com/creationix/nvm).
## Installing the SAM command-line tools

### Using Homebrew or Linuxbrew
There are several ways of installing SAM command-line tools. If you use Homebrew or Linuxbrew package management tools, you can install AWS SAM CLI using the following commands:

```shell
brew tap aws/tap
brew install aws-sam-cli
```

### Using pip
Alternatively, use the `pip` package manager to download `sam`. Run the following command: 

```shell
pip install aws-sam-cli
```

To check whether the installation worked, run the following command:

```shell
sam --version
```

If you get a response similar to the following, the software is ready:

```
$ sam --version
SAM CLI, version 0.40.0
```

If you get an error or the command is not found, you may need to restart the shell so that the new environment variables take effect. If that fails as well, check out the prerequisites again and then see the alternative installation instructions in the [AWS SAM developer guide](https://docs.aws.amazon.com/serverless-application-model/index.html) online.


> #### Running in an isolated environment
>
> For any Python developers reading this, SAM works perfectly fine in a virtual environment. My preferred way of installing tools such as SAM is to create an environment for each project, so the tools and libraries are completely separate. If you want to use an isolated installation and avoid changing system packages, just set up a new `virtualenv` environment before running `pip`. 


In the next lesson, you will see how to configure AWS access credentials.

# Installing JavaScript tools

## Node.js
In this course, you'll be using JavaScript with Node.js for developing Lambda functions. (You do not need Node.js to work with SAM in a different language, but you will need the appropriate tools for that language.) To try examples from the book directly, you'll need Node.js 12 or later installed. To check whether Node.js is installed on your machine, run the following command:

```shell
node --version
```

Get the Node.js installer for your operating system from <https://nodejs.org/> if this command prints an error.

### Node Version Manager
The latest Node.js version currently supported by Lambda is 12. You should get Node 12 even if you have a more recent installation. You can manage multiple versions of Node.js on the same system using the [Node Version Manager](https://github.com/creationix/nvm).
# Installing the SAM command-line tools

## Using Homebrew or Linuxbrew
There are several ways of installing SAM command-line tools. If you use Homebrew or Linuxbrew package management tools, you can install AWS SAM CLI using the following commands:

```shell
brew tap aws/tap
brew install aws-sam-cli
```

## Using pip
Alternatively, use the `pip` package manager to download `sam`. Run the following command: 

```shell
pip install aws-sam-cli
```

To check whether the installation worked, run the following command:

```shell
sam --version
```

If you get a response similar to the following, the software is ready:

```
$ sam --version
SAM CLI, version 0.40.0
```

If you get an error or the command is not found, you may need to restart the shell so that the new environment variables take effect. If that fails as well, check out the prerequisites again and then see the alternative installation instructions in the [AWS SAM developer guide](https://docs.aws.amazon.com/serverless-application-model/index.html) online.


> #### Running in an isolated environment
>
> For any Python developers reading this, SAM works perfectly fine in a virtual environment. My preferred way of installing tools such as SAM is to create an environment for each project, so the tools and libraries are completely separate. If you want to use an isolated installation and avoid changing system packages, just set up a new `virtualenv` environment before running `pip`. 


In the next lesson, you will see how to configure AWS access credentials.

This lesson contains a continuation of the setup process which includes installing Node.js and SAM CLI.

Installing JavaScript and SAM CLI

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

Installing JavaScript and SAM CLI

Installing JavaScript tools #

Node.js #