Learn how to deploy serverless applications with AWS Lambda

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Become an AWS Professional

AWS Lambda is a  serverless computing service which helps to run our code without any kind of server. Here you will learn the steps to deploy an AWS Serverless Application Model. By the end of this moddule, 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

* Make the client web page attractive by styling it using CSS. 

* Configure a CloudFront CDN to compress and locally cache static assets, then reconfigure the application so users access it through the CDN.

* The error handling in this chapter only acts on problems during file uploads, not on problems during file conversion. Using the dead-letter queue technique from [Chapter 9](https://www.educative.io/courses/running-serverless-applications-aws-lambda/handling-asynchronous-errors-with-dead-letters), detect conversion errors and save a marker error file somewhere on S3 where the client can detect it. Then change the client-side workflow to poll for that file while waiting on results and notify clients about conversion errors.

In the next lesson, you have a short quiz, so buckle up!


You will have a firm grasp on the concepts covered in this chapter after performing the interesting experiments in this lesson!

Interesting Experiments

Before We Begin

Getting Started

Setup Tools for Local Development

Creating a Web Service

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

Conclusion

Interesting Experiments