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

## `child_process`

Now that `mogrify` is available to your Lambda function, you can change the source code for the conversion function to execute it. 

To start a command-line utility from JavaScript, you'll need to use the Node.js child process features. 

The `spawn` function from the Node.js `child_process` module uses callbacks. You need to wrap that function into a `Promise`, so it can be used directly in `async` functions. (This is a limitation of Node.js, so if you are using a different language, the whole issue with multiple types of asynchronous processes does not apply.) Another file is added to your `image-conversion` function directory and is called `child-process-promise.js`. The file should contain the following listing, which is a relatively generic function that will create a sub-process to invoke an external command and print out any console output into the logs so you can troubleshoot more easily. 



# `child_process`

Now that `mogrify` is available to your Lambda function, you can change the source code for the conversion function to execute it. 

To start a command-line utility from JavaScript, you'll need to use the Node.js child process features. 

The `spawn` function from the Node.js `child_process` module uses callbacks. You need to wrap that function into a `Promise`, so it can be used directly in `async` functions. (This is a limitation of Node.js, so if you are using a different language, the whole issue with multiple types of asynchronous processes does not apply.) Another file is added to your `image-conversion` function directory and is called `child-process-promise.js`. The file should contain the following listing, which is a relatively generic function that will create a sub-process to invoke an external command and print out any console output into the logs so you can troubleshoot more easily. 



Here, you'll learn how to invoke system utilities!

Invoking System Utilities

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

Invoking System Utilities

`child_process` #

Host a Serverless Application on AWS Lambda

Process Amazon SNS Notifications with AWS Lambda

Invoking System Utilities

child_process #

`child_process` #