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Docs Home → Launch & Manage MongoDB → MongoDB Atlas


MANAGE CONNECTIONS WITH AWS LAMBDA


On this page

 * Best Practices
 * Connection Example
 * AWS IAM Authentication
 * Other Authentication
 * AWS IAM Authentication
 * Other Authentication
 * AWS IAM Authentication
 * Other Authentication


BEST PRACTICES


Use the following best practices to properly manage connections between AWS
Lambda and Atlas:

 * Define the client to the MongoDB server outside the AWS Lambda handler
   function.
   
   Don't define a new MongoClient object each time you invoke your function.
   Doing so causes the driver to create a new database connection with each
   function call. This can be expensive and can result in your application
   exceeding database connection limits. As an alternative, do the following:
   
   1. Create the MongoClient object once.
   
   2. Store the object so your function can reuse the MongoClient across
      function invocations.
   
   The Connection Example reuses existing database connections to speed up
   communication with the database and keep connection counts to the database at
   a reasonable level with respect to application traffic.


C#
Go
Java (Sync)
Node.js
Python
Ruby

 * If your handler takes a callback as its last argument, set the
   callbackWaitsForEmptyEventLoop property on the AWS Lambda Context object to
   false.
   
   context.callbackWaitsForEmptyEventLoop = false;
   
   Node.js
   
   
   This allows a Lambda function to return its result to the caller without
   requiring that the MongoDB database connection be closed. Setting this
   property is not applicable for async handlers.

 * If you have a Lambda function that connects to a sharded cluster with many
   shards, you might experience performance issues. For example, with a ten
   shard cluster, the driver connects to all thirty mongos instances by default.
   You can use the srvMaxHosts option in your connection string to set the
   maximum number of hosts that the driver connects to. To improve driver
   performance, set srvMaxHosts=3. For example:
   
   mongodb+srv://<username>:<password>@<clusterName>.mongodb.net/?retryWrites=true&w=majority&srvMaxHosts=3
   
   
   
   To learn more, see Connection Options.




 * Restrict network access to your Atlas cluster.
   
   Connect to your Atlas cluster over private networking using a Network Peering
   connection between your Atlas cluster and your AWS Lambda function, or,
   alternatively, a private endpoint, so that you can allow only private IP
   addresses to your IP access list.
   
   If private networking is not an option, consider connecting to your Atlas
   cluster via a NAT gateway with a mapped Elastic IP address. Otherwise, you
   must allow all IP addresses (0.0.0.0/0) to access your service cluster.
   
   
   WARNING
   
   Adding 0.0.0.0/0 to your IP access list allows cluster access from anywhere
   in the public internet. Ensure that you're using strong credentials for all
   database users when allowing access from anywhere.

 * Set Up Unified AWS Access and use AWS IAM authentication where possible.
   
   You can connect to your Atlas clusters using AWS IAM roles instead of
   hardcoding your credentials in Lambda. Hardcoded credentials are viewable by
   anyone who accesses your AWS Lambda environment, which can pose a security
   risk. With AWS IAM authentication, Atlas accesses AWS Lambda through an
   assumed IAM role, so you don't need credentials in your connection strings.
   
   Atlas supports AWS IAM authentication for clusters running MongoDB version
   4.4 or higher. We strongly advise using AWS IAM authentication for Lambda
   connections if your cluster meets the requirements.

 * The amount of memory allocated to a Lambda function defaults to 128 MB. You
   can configure the amount of memory allocated to a Lambda function, between
   128 MB and 10,240 MB. Ensure you allocate enough memory. Increase the memory
   to increase the amount of virtual CPU available and improve MongoDB driver
   performance. To learn more, see Memory and computing power.


CONNECTION EXAMPLE



C#
Go
Java (Sync)
Node.js
Python
Ruby


AWS IAM AUTHENTICATION


const { MongoClient } = require('mongodb');
// Get the URI for the cluster then set AWS_ACCESS_KEY_ID as the username in the// URI and AWS_SECRET_ACCESS_KEY as the password, then set the appropriate auth// options. Note that MongoClient now auto-connects so no need to store the connect()// promise anywhere and reference it.const client = new MongoClient(process.env.MONGODB_URI, {  auth: {    username: process.env.AWS_ACCESS_KEY_ID,    password: process.env.AWS_SECRET_ACCESS_KEY  },  authSource: '$external',  authMechanism: 'MONGODB-AWS'});
module.exports.handler = async function () {  const databases = await client.db('admin').command({ listDatabases: 1 });  return {    statusCode: 200,    databases: databases  };};

Node.js



OTHER AUTHENTICATION


const { MongoClient } = require('mongodb');
// MongoClient now auto-connects so no need to store the connect()// promise anywhere and reference it.const client = new MongoClient(process.env.MONGODB_URI);
module.exports.handler = async function () {  const databases = await client.db('admin').command({ listDatabases: 1 });  return {    statusCode: 200,    databases: databases  };};

Node.js



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On this page

 * Best Practices
 * Connection Example
 * AWS IAM Authentication
 * Other Authentication
 * AWS IAM Authentication
 * Other Authentication
 * AWS IAM Authentication
 * Other Authentication

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