A developer created an AWS Lambda function to process data in an application.

Configuring the Lambda function to use ephemeral storage and processing data in the /tmp directory improves performance by leveraging local storage during execution.

Why Option C is Correct:

Ephemeral Storage: Lambda provides temporary storage (up to 10 GB) in the /tmp directory for each invocation, which is faster than pulling data directly from S3 multiple times.

Performance Boost: Data can be downloaded to /tmp, processed locally, and uploaded to the destination S3 bucket, minimizing S3 network calls.

Low Overhead: This approach requires only minimal changes to the function's configuration.

Why Not Other Options:

Option A: Using Amazon EFS adds complexity and is unnecessary for this use case.

Option B: Scheduling the function does not address the root cause of slow performance.

Option D: Lambda layers improve deployment efficiency, not runtime performance for this scenario.

Using Ephemeral Storage in AWS Lambda

Best Practices for S3 and Lambda Performance