AWS Lambda Function Timeout guide with DynamoDB Throttling on Concurrent Requests
I'm confused about After trying multiple solutions online, I still can't figure this out. I've been struggling with this for a few days now and could really use some help... I'm experiencing a timeout scenario with my AWS Lambda function when it interacts with DynamoDB. The function is supposed to handle high-concurrency requests, but it frequently exceeds the configured timeout of 3 seconds, particularly during peak load times. The Lambda function is triggered by an API Gateway and is designed to read and write to a DynamoDB table. However, I've noticed that when multiple requests hit the function simultaneously, it seems to get throttled by DynamoDB, leading to timeouts and occasional 'ProvisionedThroughputExceededException' errors. Here's the relevant part of my Lambda function code: ```python import boto3 from botocore.exceptions import ClientError def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyDynamoDBTable') try: # Assume 'data' is coming from the API request data = event['body'] response = table.put_item(Item=data) return { 'statusCode': 200, 'body': 'Item added successfully!' } except ClientError as e: return { 'statusCode': 500, 'body': f'behavior: {str(e)}' } ``` I have the read/write capacity set to 5 RCUs and 5 WCUs, but I think this may not be sufficient during high traffic. I attempted to increase the provisioned capacity to 10 RCUs and 10 WCUs, and while it helped for a short while, the throttling issues returned as soon as traffic spiked again. I've also considered enabling Auto Scaling for the DynamoDB table, but I'm unsure how that would affect my Lambda execution or whether it will even solve my question. Is there a recommended approach for handling this situation? Should I consider switching to on-demand capacity or is there a better way to optimize the Lambda-DynamoDB interaction? What best practices should I follow to avoid these timeouts and improve performance under load? Any insights would be greatly appreciated! Thanks in advance! Has anyone else encountered this? The stack includes Python and several other technologies.