Question: How to use AWS for in-memory caching?


AWS provides several options for implementing in-memory caching, with the most notable being Amazon ElastiCache and DynamoDB's DAX.

Amazon ElastiCache

ElastiCache is a web service that simplifies deploying, operating, and scaling an in-memory cache in the cloud. It's perfect for use cases where you need to retrieve information quickly and have high rates of data access.

Here's a simple example of using ElastiCache (Redis) in Node.js:

var redis = require('redis'); var AWS = require('aws-sdk'); AWS.config.update({ region: "us-west-2", endpoint: "Your_ElastiCache_Endpoint" }); var client = redis.createClient(); client.on("error", function(error) { console.error(error); }); client.set("key", "value", redis.print); client.get("key", redis.print);

Replace "Your_ElastiCache_Endpoint" with your actual ElastiCache Endpoint.

DynamoDB Accelerator (DAX)

DAX is a fully managed, highly available, in-memory cache for DynamoDB. It delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second.

The following is an example of using DAX with DynamoDB in Node.js:

var AWS = require("aws-sdk"); AWS.config.update({ region: "us-west-2", endpoint: "Your_DAX_Endpoint" }); var dax = new AWS.DynamoDB.DocumentClient(); var params = { TableName : 'Your_Table_Name', Key: { 'Your_Key': 'Your_Value' } }; dax.get(params, function(err, data) { if (err) console.log(err); else console.log(data); });

Again, replace "Your_DAX_Endpoint", 'Your_Table_Name', 'Your_Key' and 'Your_Value' with your actual DAX Endpoint, Table Name, Key, and Value respectively.

Remember to use these technologies appropriately based on your use case, workload characteristics, and requirements.

Was this content helpful?

White Paper

Free System Design on AWS E-Book

Download this early release of O'Reilly's latest cloud infrastructure e-book: System Design on AWS.

Free System Design on AWS E-Book

Start building today

Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.