AWS Lambda Function Timeout When Accessing RDS with Node.js and Sequelize
I'm stuck trying to I'm getting frustrated with I'm getting frustrated with I'm relatively new to this, so bear with me..... I'm experiencing a timeout scenario with my AWS Lambda function that interacts with an RDS PostgreSQL database using Sequelize. The Lambda function is set with a timeout of 10 seconds, but it often hits the timeout limit when trying to execute a simple query to fetch user data. Here’s the relevant portion of my code: ```javascript const { Sequelize } = require('sequelize'); const sequelize = new Sequelize(process.env.DB_NAME, process.env.DB_USER, process.env.DB_PASSWORD, { host: process.env.DB_HOST, dialect: 'postgres', }); exports.handler = async (event) => { try { await sequelize.authenticate(); console.log('Connection has been established successfully.'); const users = await sequelize.query('SELECT * FROM users WHERE status = :status', { replacements: { status: 'active' }, type: Sequelize.QueryTypes.SELECT, }); return { statusCode: 200, body: JSON.stringify(users), }; } catch (err) { console.behavior('Unable to connect to the database:', err); return { statusCode: 500, body: JSON.stringify({ message: 'Database connection behavior' }), }; } }; ``` I've checked the network configuration, and my Lambda has access to the RDS instance in the same VPC, with the right security group rules allowing inbound traffic. However, the logs show that it usually fails somewhere around 8-9 seconds without providing a clear behavior message other than a timeout notice. I’ve even tried increasing the Lambda timeout to 30 seconds, but the question continues. I suspect it might have something to do with how Sequelize handles connections in a Lambda environment, as I've read that connection management can be tricky. Any insights on best practices for connection pooling or troubleshooting this scenario would be greatly appreciated! I'm working on a API that needs to handle this. Any ideas what could be causing this? The project is a CLI tool built with Javascript. Could this be a known issue? I'm working on a REST API that needs to handle this. Is there a better approach?