How to improve the scalability of a Node.js application with Redis caching for session management?
I'm reviewing some code and I'm integrating two systems and I'm stuck on something that should probably be simple. I'm running a Node.js application using Express and I've noticed important performance degradation during peak hours. The application handles user sessions through a database, which has become a bottleneck. Currently, we're using MongoDB version 4.2, and our session handling looks something like this: ```javascript const session = require('express-session'); const MongoStore = require('connect-mongo')(session); app.use(session({ secret: 'mySecret', resave: false, saveUninitialized: false, store: new MongoStore({ url: 'mongodb://localhost:27017/mydatabase' }) })); ``` During heavy load, users experience slow response times, and the database is maxing out its connections, which leads to errors like `MongoNetworkError: connection to server ... timed out`. To mitigate this, I want to implement Redis caching for session management, but I'm unsure about the best way to do this. I've considered using the `connect-redis` package but am uncertain about how to properly configure it along with my current setup. Could anyone provide guidance on how to integrate Redis for session management in my Express application effectively? Additionally, what configuration settings should I be aware of to ensure that Redis can handle a high volume of concurrent users? I'm currently using Redis version 6.0.9 and would love to know if there are any pitfalls or best practices I should follow while making this change. Any ideas what could be causing this? Any ideas how to fix this? I'm on Windows 10 using the latest version of Javascript.