This course helps you master AWS serverless app creation using AWS Lambda to decrease operational costs.

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RunSamLogsTail

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RunGradualDeployment

RunDeploymentAlert

RunChap6CustomisingResponses

RunChap6Processingrequestparameters

RunChap6GlobalSettings

RunChap6CreatingParameterisedCloudFormationStacks

RunChap7

RunChap8

RunChap9AvoidingCircularReferences

RunChap9ConditionalResources

RunChap10InvokingSystemUtilities

RunChap10PublishingToSAR

RunChap11UploadingFilestoS3

RunChap12LambdaUtilityFunctions

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RunChap9AvoidingCircularReferences-copy

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RunChap10PublishingToSAR-copy

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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

Simple Storage Services and DynamoDB are examples of which of the following cloud options?

Simple Storage Services and DynamoDB are examples of which of the following cloud options?

Fill in the blank:
_______ is/are an object store, designed for large binary unstructured data. It can store individual objects up to 5 TB. The objects are aggregated into buckets.

Fill in the blank:
_______ is/are an object store, designed for large binary unstructured data. It can store individual objects up to 5 TB. The objects are aggregated into buckets.

Which storage option is suitable if your application has the following requirements?
* It needs to perform atomic operations on a group of objects. 
* It must query item contents.
* It does not have unpredictable burst traffic patterns. 
* The items of the application are mostly 2KB in size.

Which storage option is suitable if your application has the following requirements?
<ul>
<li>It needs to perform atomic operations on a group of objects.</li>
<li>It must query item contents.</li>
<li>It does not have unpredictable burst traffic patterns.</li>
<li>The items of the application are mostly 2KB in size.</li>
</ul>

Select all the parameters that are required by the standard S3 SDK method `putObject` to send data to a bucket:

Select all the parameters that are required by the standard S3 SDK method <code>putObject</code> to send data to a bucket:

Which of the following policies gives a Lambda function read and write access to all objects in a bucket?

Which of the following policies gives a Lambda function read and write access to all objects in a bucket?

It's quiz time! Answer the following questions to test your knowledge and understanding.

Quiz

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

Quiz