Table of Contents

1. Challenge

   Create a DynamoDB Table

   1. Create the DynamoDB table and populate it using the file named items.json. All files required for this hands-on lab are located in the folder named Building_and_Troubleshooting_a_Serverless_Web_Application that you will find in the following GitHub repository.
2. Challenge

   Create a Lambda Function with a Function Endpoint

   1. Create a Lambda function usinglambda_function.py.
   2. Configure the Lambda to use Python 3.9 and 256 MB.
   3. Test the function to see if it works.
   4. Diagnose and fix an error with the function configuration.
   5. Create and test a function URL endpoint once the function's error has been corrected.
3. Challenge

   Create an S3 Bucket and Upload the Website Files

   1. Modify index.html to add the invoke URL of your API Gateway endpoint.
   2. Create an S3 bucket with public access enabled.
   3. Upload the following website files to your bucket. Make sure they have public-read enabled: index.html, error.html, and cookie.html
   4. Configure S3 static website hosting on your S3 bucket.
   5. Check you can access everything from the S3 website-hosting URL.
4. Challenge

   Configure X-Ray

   1. Enable tracing from within the Lambda function.
   2. Enable the API gateway endpoint to send traces.
   3. Add the Lambda Layer to your function using the file named layer.zip Make sure to use Python 3.9.
   4. Update your Lambda function code to import the X-Ray SDK to your function using the snippet provided named lambda_function_xray.py.
   5. Test the function to see if it works.
   6. Diagnose and fix an error with the function configuration.
5. Challenge

   Review The X-Ray Service Map

   1. Generate some traffic to your website.
   2. Review the X-Ray service map and traces.
   3. Break the application and see the results displayed in X-Ray.