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

In [Chapter 7](https://www.educative.io/courses/running-serverless-applications-aws-lambda/generating-unique-references), you used a method of the AWS S3 SDK to upload the contents of a string into an S3 bucket. Although you could potentially work with images as in-memory strings or buffers, this would unnecessarily increase the memory footprint of the Lambda function, costing more than it should. The S3 SDK for most languages supports working with file streams. 

Our conversion function needs to download an S3 object into a local file so you can later produce thumbnails. It will also need to upload the resulting file contents to S3. You'll create two utility methods for that. You can save the following code as `s3-util.js` in the conversion function code directory.



In this lesson, you'll have a look at how to work with files when using AWS Lambda.

Working with Files

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

Working with Files