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

* If you added a Lambda layer for FFMpeg as suggested in the experiments at the end of [Chapter 10](https://www.educative.io/courses/running-serverless-applications-aws-lambda/interesting-experiments-xonVvv7YzY9), then modify the request processor to allow the uploading of videos, and introduce another port and adapter for video thumbnails. 

* Configure throttling to allow only one or two concurrent executions, and then try uploading many images in quick succession. Check CloudWatch logs and metrics to spot the throttling in action.

* Change the client workflow code to check for throttled requests, and handle them by pausing and retrying automatically.

* Add a few more test cases to improve test coverage. For example, add a test case for generating the upload policy.

Try performing these interesting experiments to get a better grasp on your knowledge​ and understanding of this context!

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