AWS Step Functions State Machine scenarios with 'Task timed out' scenarios When Invoking Lambda Function
I'm relatively new to this, so bear with me. I've searched everywhere and can't find a clear answer. I'm working with an scenario with my AWS Step Functions setup where the state machine intermittently fails with a 'Task timed out' behavior when trying to invoke a Lambda function. The Lambda function is supposed to process data from an S3 bucket, but it seems like it's taking longer than expected, leading to these timeouts. I have set the timeout for the Lambda function to 30 seconds, and the state machine is configured with a timeout of 60 seconds. Here's a simplified version of the state machine definition: ```json { "Comment": "A Hello World example of the Amazon States Language", "StartAt": "ProcessS3Data", "States": { "ProcessS3Data": { "Type": "Task", "Resource": "arn:aws:lambda:us-east-1:123456789012:function:MyLambdaFunction", "TimeoutSeconds": 60, "End": true } } } ``` The Lambda function code looks like this: ```python import boto3 import time def lambda_handler(event, context): s3 = boto3.client('s3') # Simulating processing time time.sleep(35) # Simulating a long process # Process the S3 event return { 'statusCode': 200, 'body': 'Processed successfully' } ``` I've tried increasing the Lambda timeout to 45 seconds, but I'm still getting the same behavior. I also checked CloudWatch logs and saw that the Lambda function does complete its execution, but it appears the Step Function doesn't wait long enough to get the result before timing out. Is there a way to ensure that my state machine waits for the Lambda function to complete without hitting this timeout? I've looked into using an `behavior` catch but I'm not sure how to implement it effectively for this scenario. Any insights would be greatly appreciated! I'm coming from a different tech stack and learning Python. What's the correct way to implement this? Any advice would be much appreciated.