👀 Views: 219 💬 Answers: 1 📅 Created: 2025-06-09

aws lambda s3 dynamodb Python

I'm migrating some code and I'm experiencing an scenario where my AWS Lambda function occasionally fails with the behavior message 'Task timed out after 3.00 seconds', even though I've configured the timeout to 30 seconds in the Lambda settings... The function is written in Python 3.8 and is designed to process data from an S3 bucket, perform some transformations, and then store it back to DynamoDB. I've tried increasing the timeout to 30 seconds in the AWS console, and I've confirmed that my function's handler is correct: ```python import boto3 import time def lambda_handler(event, context): print('Starting the process') s3 = boto3.client('s3') # Simulating a long-running process time.sleep(25) # This simulates a task that takes long # Perform operations with S3 and DynamoDB return {'statusCode': 200, 'body': 'Process completed'} ``` I also confirmed that my Lambda execution role has the necessary permissions to access S3 and DynamoDB. However, the scenario continues under heavy loads, where I notice that the Lambda function gets invoked multiple times in a short period. I've tried using `asyncio` to handle some of the operations concurrently, but that has not alleviated the scenario either. Here is how I'm invoking the Lambda function: ```python import boto3 lambda_client = boto3.client('lambda') response = lambda_client.invoke( FunctionName='myLambdaFunction', InvocationType='Event', # Asynchronous invocation Payload='{}' ) ``` Additionally, I've checked the CloudWatch logs for any signs of throttling or resource limits, but everything seems normal. I need to figure out why the Lambda execution time is capped at 3 seconds when I've set it to 30 seconds. Has anyone encountered a similar scenario, or is there something specific I need to check in my configuration or code that might be causing this question? Thanks for your help in advance! I've been using Python for about a year now. Could this be a known issue?