Significant Latency in AWS Lambda Function Triggered by S3 Object Creation Event
I'm building a feature where I'm trying to debug I'm experiencing significant latency with my AWS Lambda function that processes images uploaded to an S3 bucket. The function is triggered by the 's3:ObjectCreated:*' event, but I'm noticing that response times can reach upwards of 5-10 seconds, which is unacceptable for my application. I've checked the CloudWatch logs and they show that while the invocation is quick, the actual processing time is where the delay occurs. Here's a simplified version of my Lambda function: ```python import boto3 import time def lambda_handler(event, context): for record in event['Records']: bucket = record['s3']['bucket']['name'] key = record['s3']['object']['key'] print(f'Processing file {key} from bucket {bucket}') time.sleep(5) # Simulating processing time # Process image... return 'Done' ``` I’m using Python 3.8 for this Lambda function. In my application, I can't afford this delay since it’s affecting the user experience when they upload images. I've optimized the image processing part, but it still seems slow, especially when there are multiple concurrent uploads. I've also set the timeout for my Lambda function to the maximum of 15 minutes, but I suspect it's the cold start that might be affecting performance. I've tried increasing the memory allocation for the Lambda function, which did help somewhat, but not to a satisfactory level. Is there a recommended best practice to reduce latency with S3-triggered Lambda functions? Should I consider using a different approach like Step Functions for orchestration, or is there a better method to optimize my current implementation? My development environment is CentOS. Any ideas how to fix this? I'm on Ubuntu 20.04 using the latest version of Python. Any examples would be super helpful. My team is using Python for this web app.