AWS Lambda Timeout When Processing S3 Events with DynamoDB Insertions
I'm collaborating on a project where I'm currently working with a timeout scenario with my AWS Lambda function that is triggered by S3 events... The function is supposed to process files uploaded to a specific S3 bucket and then insert records into DynamoDB. However, I'm getting a `Task timed out after 30.00 seconds` behavior, despite my function only needing to process small JSON files. Here’s a simplified version of my Lambda handler: ```python import json import boto3 def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyDynamoDBTable') for record in event['Records']: s3_bucket = record['s3']['bucket']['name'] s3_key = record['s3']['object']['key'] # Fetch the file content from S3 s3 = boto3.client('s3') response = s3.get_object(Bucket=s3_bucket, Key=s3_key) file_content = json.loads(response['Body'].read()) # Insert data into DynamoDB for item in file_content: table.put_item(Item=item) return { 'statusCode': 200, 'body': json.dumps('Process completed successfully') } ``` I tried increasing the timeout in the Lambda function settings to 60 seconds, but the same scenario continues. I also verified that the S3 event notifications are working correctly and the Lambda is being triggered. The size of the JSON files is generally under 5KB, so that shouldn't be a question. Is it possible that fetching the S3 object is causing the delay? What are the best practices for handling S3 events in Lambda efficiently? Should I be using asynchronous patterns or perhaps implementing retries? Any insights would be appreciated. I'm on Ubuntu 22.04 using the latest version of Python. Could this be a known issue?