AWS Lambda Function Timeout on S3 Event Trigger with Large Files
I need help solving I'm relatively new to this, so bear with me. I'm working on a personal project and I'm working with an scenario where my AWS Lambda function is timing out when triggered by an S3 event for large file uploads. The function is designed to process files as soon as they're uploaded to an S3 bucket. However, for files larger than a certain size (around 50 MB), I receive the behavior 'Task timed out after 30000 milliseconds' although I've set the timeout to 5 minutes in the configuration. I've confirmed that the Lambda function has enough memory allocated (1024 MB) and I've also tried adjusting the timeout settings in the AWS Console and the AWS CLI. Here's the code snippet for my Lambda function: ```python import json import boto3 def lambda_handler(event, context): s3_client = boto3.client('s3') for record in event['Records']: bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] response = s3_client.get_object(Bucket=bucket, Key=key) data = response['Body'].read() # This seems to be causing the timeout # Process data here return { 'statusCode': 200, 'body': json.dumps('File processed successfully!') } ``` I also tried breaking down the processing logic into smaller steps and using AWS SQS to trigger separate Lambda functions, but it seems that the initial read operation is still causing the timeout. Is there a best practice for handling larger files in Lambda triggered by S3 events, or a way to increase the timeout more effectively? Any suggestions would be appreciated. This is part of a larger CLI tool I'm building. I'd really appreciate any guidance on this. Is there a better approach? Any suggestions would be helpful. Thanks for taking the time to read this!