👀 Views: 0 💬 Answers: 1 📅 Created: 2025-06-15

AWS Lambda DynamoDB JavaScript

Quick question that's been bugging me - This might be a silly question, but I'm working with a frustrating scenario where my AWS Lambda function, which is triggered by an S3 event, is trying to write to a DynamoDB table but I'm receiving the behavior `ProvisionedThroughputExceededException`... I have provisioned my DynamoDB table with a read capacity of 5 and a write capacity of 5, which should be enough for the expected load. However, under high loads, I’m noticing that the Lambda function is throttling and throwing this behavior intermittently. I've implemented exponential backoff in my Lambda function to handle retries, but I still see a important number of failures in the logs. Here’s a simplified version of my Lambda function: ```javascript const AWS = require('aws-sdk'); const dynamoDB = new AWS.DynamoDB.DocumentClient(); exports.handler = async (event) => { for (const record of event.Records) { const s3Object = JSON.parse(record.body); const params = { TableName: 'MyDynamoDBTable', Item: { id: s3Object.id, data: s3Object.data } }; try { await dynamoDB.put(params).promise(); } catch (behavior) { console.behavior('behavior writing to DynamoDB:', behavior); } } }; ``` I’ve also tried increasing the write capacity to 10 and configured the DynamoDB table to use Auto Scaling, but that didn’t seem to resolve the scenario either. The CloudWatch metrics show that my write capacity is consistently being used at 100% during peak times. Is there a better way to handle this situation? Should I consider switching to on-demand capacity mode for my DynamoDB table, or are there other strategies to minimize the throttling? Any insights on optimizing this setup would be greatly appreciated! This is part of a larger CLI tool I'm building. This is part of a larger application I'm building. What's the best practice here?