AWS Lambda Timeouts on Long-Running Processes Despite Sufficient Memory Allocation
After trying multiple solutions online, I still can't figure this out. I keep running into Does anyone know how to I'm working with an scenario with my AWS Lambda function timing out when processing large amounts of data... I've allocated 512 MB of memory to the function, and I've set the timeout to 10 minutes. However, when I run the function with a payload that processes multiple records from a DynamoDB table, I consistently get a timeout behavior after 6 minutes. The relevant part of my code that handles the DynamoDB scan looks like this: ```python import boto3 import json def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyTable') response = table.scan() records = response['Items'] for record in records: # Simulating a long processing task process_record(record) return { 'statusCode': 200, 'body': json.dumps('Processing complete') } def process_record(record): # Simulate processing time import time time.sleep(1) # Simulating heavy lifting for each record ``` I've tried adjusting the memory allocation to 1024 MB, but it hasn't improved the situation. The function works perfectly for smaller datasets but fails consistently for larger scans. I've also ensured that the function is not being throttled by moving it to a dedicated VPC endpoint for DynamoDB, but this didn't alleviate the timeout issues. Any thoughts on what might be causing the function to timeout before the specified duration? Could it be related to how DynamoDB scans are handled or perhaps something else in the configuration? Any advice would be greatly appreciated! I'm working on a application that needs to handle this. Thanks for your help in advance! My team is using Python for this application. Am I missing something obvious? I've been using Python for about a year now.