Deploy a Serverless Function Using AWS Lambda

Table of Contents

1. Challenge

   Create and Deploy a Basic AWS Lambda Function

   1. Download the lab resources from GitHub (test.txt and lambda.py).
   2. Create a new Lambda function in the AWS Management Console using the Python runtime.
   3. Generate a new Lambda execution role during function creation.
   4. Copy the Python code from lambda.py into the Lambda code editor (code source).
   5. Update the s3-bucket-name value in the code to match the existing s3gurubucket in the lab environment.
   6. Deploy the Lambda function.
2. Challenge

   Configure IAM Permissions for S3 Read and Overwrite Access

   1. Update the Lambda execution role permissions to allow the required S3 actions (read and overwrite objects).
   2. Confirm the Lambda function is using the intended execution role.
3. Challenge

   Automate Lambda Execution with an S3 Event Trigger and S3 Destination

   1. Add an S3 trigger for all object-created events on the target bucket.
   2. Configure Amazon S3 as the destination for the Lambda function’s action/output.
4. Challenge

   Validate the End-to-end Workflow

   1. Upload test.txt to the gurus3bucket S3 bucket to trigger the function.
   2. Verify successful execution by reviewing CloudWatch metrics in the Lambda console (Monitor tab).