How to scale a Node.js application with Redis for session management to handle large user bases?
I'm experimenting with I'm trying to figure out I'm currently developing a Node.js application using Express and I need to ensure that session management is scalable as our user base grows. We are using Redis for session storage, but I've noticed performance optimization when the number of concurrent users exceeds 1000. Here's a snippet of how I'm currently configuring Redis session storage: ```javascript const session = require('express-session'); const RedisStore = require('connect-redis')(session); const redis = require('redis'); const redisClient = redis.createClient({ host: 'localhost', port: 6379, }); app.use(session({ store: new RedisStore({ client: redisClient }), secret: 'mySecret', resave: false, saveUninitialized: false, cookie: { secure: false }, })); ``` While everything works fine with lower traffic, I'm experiencing the following behavior when the traffic spikes: ``` behavior: connect ETIMEDOUT 127.0.0.1:6379 ``` I've tried increasing the Redis server memory limits and changing the timeout settings in the Redis client configuration, but the scenario continues. Additionally, I have attempted to implement horizontal scaling by adding more Redis instances, but Iām unsure how to configure them properly to share the session state. Is there a better strategy for session management in a high-load environment? Should I consider using Redis clustering or possibly a different session strategy altogether? Any best practices for designing this would be greatly appreciated.