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AWS Lambda Timeout When Invoking a Step Function with Large Payloads

👀 Views: 467 đŸ’Ŧ Answers: 1 📅 Created: 2025-08-20
aws lambda step-functions timeout boto3 Python

I've been struggling with this for a few days now and could really use some help. I'm getting frustrated with I'm experimenting with I've been researching this but I'm working with a timeout scenario with my AWS Lambda function that triggers a Step Function execution. The Lambda function seems to work fine with smaller payloads, but when I try to send a larger payload (around 6MB), it fails with a `Task timed out after 3.00 seconds` behavior. I have already increased the timeout setting of the Lambda function to 30 seconds, but it still times out. Here is the Lambda function code I am using: ```python import json import boto3 stepfunctions = boto3.client('stepfunctions') def lambda_handler(event, context): payload = event.get('payload') # This is where large payload comes from response = stepfunctions.start_execution( stateMachineArn='arn:aws:states:us-east-1:123456789012:stateMachine:MyStateMachine', input=json.dumps(payload) ) return response ``` I have tried breaking the payload into smaller chunks and calling the Lambda function multiple times, but this adds complexity to my workflow and is not ideal. Also, I've checked the CloudWatch logs, and they confirm that the function is being invoked but doesn't seem to complete execution in time. Is there a way to handle large payloads more effectively with AWS Lambda and Step Functions? Are there best practices I should follow to ensure that I don't run into this timeout scenario? Also, could the size of the payload being passed to the Step Function be affecting the performance of the Lambda function itself? Any insights would be greatly appreciated! What's the best practice here? I'm coming from a different tech stack and learning Python. What would be the recommended way to handle this? The project is a microservice built with Python. Could someone point me to the right documentation?