AWS Cloud Development Kit - From Beginner to Professional - Grant Least Privileges to Your Lambda Functions

The video tutorial explains how to add fine-grained privileges to AWS Lambda functions using AWS CDK. It covers the deployment of a simple Lambda function that lists S3 buckets and stores them in a DynamoDB table. Initially, the function is deployed without additional privileges, leading to access errors. The tutorial then demonstrates how to add managed policies for S3 access and fine-grained access for DynamoDB, ensuring the Lambda function has the necessary permissions to perform its tasks.

What are fine-grained privileges in the context of AWS Lambda functions?

How can you restrict a Lambda function's access to specific resources like DynamoDB or S3?

What is the significance of using path-based navigation for accessing SSM parameters?

Explain the process of deploying a Lambda function with limited privileges.

What are the potential errors you might encounter when a Lambda function lacks the necessary permissions?

Describe the steps to add managed policies to a Lambda function.

How can you verify that a Lambda function has the correct permissions after deployment?