AWS Lambda Timing Out When Accessing S3 in VPC - Need Optimization Tips
I'm collaborating on a project where I'm experiencing a frustrating scenario where my AWS Lambda function times out when trying to access an S3 bucket that's located in a VPC. The Lambda function is configured with a timeout of 30 seconds, but it's consistently failing after 29 seconds with the behavior message: `Task timed out after 29.99 seconds`. The function is designed to process images uploaded to the S3 bucket and then store the results back in another location. Here’s a simplified version of the code I'm using: ```python import boto3 import os def lambda_handler(event, context): s3_client = boto3.client('s3') bucket_name = os.environ['BUCKET_NAME'] file_key = event['Records'][0]['s3']['object']['key'] try: response = s3_client.get_object(Bucket=bucket_name, Key=file_key) # Simulating some processing time process_image(response['Body']) except Exception as e: print(f'behavior: {str(e)}') raise e return {'status': 'success'} ``` I've set up a VPC endpoint for S3, so I expect the Lambda function to access S3 without any issues. The security groups for the Lambda function are correctly configured to allow outbound HTTP traffic to S3, and I’ve also ensured that the IAM role attached to the Lambda has full access to the S3 bucket. However, I suspect that VPC network latency might be affecting the performance. I've tried increasing the timeout to 60 seconds, but it still times out. Logging shows that the function hangs at the `get_object` call. Is there something I'm missing in my configuration, or any best practices to optimize this setup? Any insights would be greatly appreciated! Cheers for any assistance!