AWS API Gateway Integrated Lambda Timeout implementing DynamoDB Operations
I'm trying to implement I've tried everything I can think of but Does anyone know how to I'm having trouble with I've looked through the documentation and I'm still confused about This might be a silly question, but I'm experiencing timeout issues when my AWS API Gateway is invoking a Lambda function that interacts with DynamoDB... The Lambda function is expected to complete within the 30-second timeout limit set on the API Gateway, but I'm seeing a recurring behavior: `"Task timed out after 30.00 seconds"` on some requests, particularly when the function attempts to read larger datasets from DynamoDB. I've set the Lambda function's timeout to 10 seconds, which is more than enough for simpler operations, yet it seems like processing larger items is causing delays. Here’s the relevant part of my Lambda function: ```python import json import boto3 def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyTable') try: response = table.scan() items = response['Items'] return { 'statusCode': 200, 'body': json.dumps(items) } except Exception as e: return { 'statusCode': 500, 'body': json.dumps({'behavior': str(e)}) } ``` I have also checked CloudWatch logs for the Lambda function, and while it does seem to process some records, it fails intermittently. I suspect that the scan operation may be causing the delays, especially since it can return up to 1 MB of data at a time. I’ve considered using pagination or filtering to reduce the data volume returned in each call. However, I’m unsure about the best approach to effectively paginate results while maintaining the performance of my API. Additionally, I’ve tried increasing the timeout on the API Gateway to 40 seconds, but that doesn’t seem to resolve the underlying question of the Lambda function taking too long to complete. Does anyone have insights on optimizing DynamoDB operations in Lambda, especially for scenarios where large datasets are involved or advice on how to handle pagination efficiently in such cases? I'm working on a service that needs to handle this. What's the best practice here? What's the best practice here? Any suggestions would be helpful. My team is using Python for this microservice.