AWS Step Functions scenarios: 'Task timed out' on Lambda with Dynamic Payload
I'm using AWS Step Functions to orchestrate a workflow that invokes a Lambda function. The Lambda function is designed to process a dynamic payload that varies in size, and I keep working with a 'Task timed out' behavior in the Step Functions console. I've set the timeout for the Lambda function to 30 seconds, but it seems that the processing sometimes exceeds this limit, particularly when the payload is large. Here’s a simplified version of my Lambda code: ```python import json def lambda_handler(event, context): # Simulate some processing time based on input size payload_size = len(event.get('data', '')) if payload_size > 5000: # Simulate heavy processing time.sleep(35) # This causes the timeout return {'statusCode': 200, 'body': json.dumps('Success')} ``` I’ve tried increasing the timeout in the Lambda configuration to 60 seconds, but the question continues. In my Step Functions definition, I have the following configuration: ```json { "Comment": "A Hello World example of the Amazon States Language", "StartAt": "LambdaTask", "States": { "LambdaTask": { "Type": "Task", "Resource": "arn:aws:lambda:us-east-1:123456789012:function:myLambda", "TimeoutSeconds": 60, "End": true } } } ``` I also ensured that the Lambda has sufficient memory allocated, as I've read that can affect performance. However, I’m still working with this scenario. Has anyone encountered similar behavior or have suggestions on how to handle large payloads effectively without hitting the timeout? Any best practices for optimizing the Lambda processing time would be appreciated.