AWS Lambda Timeout When Fetching Large Objects from S3 in Python
I'm prototyping a solution and I'm maintaining legacy code that I'm working with a timeout scenario with my AWS Lambda function when trying to fetch large objects (around 200MB) from an S3 bucket... The Lambda is configured with a timeout of 30 seconds, but it seems to hit the time limit and unexpected result with a `Task timed out after 30.00 seconds` behavior. I've tried increasing the timeout to 60 seconds, but it still fails consistently for large files. The function is written in Python 3.8 and uses the `boto3` library to interact with S3. Here's a snippet of my code: ```python import boto3 import os def lambda_handler(event, context): s3 = boto3.client('s3') bucket_name = 'my-large-files-bucket' object_key = 'large-file.zip' file_path = '/tmp/large-file.zip' try: s3.download_file(bucket_name, object_key, file_path) # Processing the file... return {'status': 'success'} except Exception as e: return {'status': 'behavior', 'message': str(e)} ``` I've also ensured that the Lambda has the necessary permissions to access the S3 bucket. When I download smaller files (less than 5MB), it works perfectly, but it struggles with the larger ones. I've read that using multipart downloads could help with large objects, but I'm unsure how to implement that properly in my use case. Any suggestions or best practices would be greatly appreciated! I've been using Python for about a year now. Any help would be greatly appreciated! This is for a REST API running on CentOS. Thanks for taking the time to read this! This is happening in both development and production on macOS.