What Redis Taught Me About Building Performant Web Apps


If you've ever sat there watching a loading spinner and silently screamed, “Why is this so slow?!” congrats, you already understand why caching matters. In today’s world of fast, responsive web apps, Redis is one of the best tools you can add to your developer toolbox to fix exactly that.
This post isn’t just about what Redis is, but why it exists, what problems it solves, and how you can use it to make your application feel faster, smarter, and more scalable, especially in a Learning Management System (LMS) context.
What is Caching?
Caching is basically a shortcut for data retrieval. Let’s say you’re building an LMS, and a student opens a course page. The server fetches course details from the database like title, description, instructor, video list, reviews, whatever. But here’s the thing: that course probably hasn’t changed in the last 5 minutes.
So instead of making your database do all the work every single time, you “cache” that course’s data in a faster place and usually memory. That way, the next time someone asks for it, your app just grabs it from the cache, no waiting on the database.
It’s like keeping your most-used tools on your desk instead of inside a locked cabinet in another room.
Why Redis?
You might be thinking, "Why not just store stuff in memory with Node.js
or some in memory variable?" That works until your app scales to multiple instances, restarts, or just crashes. Then you lose everything.
Redis solves all of that and more:
It’s in memory, so it’s lightning fast: Redis stores data in RAM, not on disk. This makes it blazingly fast and often under a millisecond per request. That’s why companies like GitHub, Twitter, and StackOverflow use it for performance critical tasks.
It’s persistent (if you want it to be): Even though Redis stores data in memory, it can save that data to disk periodically. So even if your server crashes, your important cached data can survive a reboot.
It supports complex data structures: It’s not just a key, value store. Redis can store lists (like recent lectures), hashes (like user objects), sets (like tags), and even sorted sets (like leaderboards or most popular courses).
You can set expiry times for data: Let’s say your course list is updated every 30 minutes. You can set Redis to automatically remove or refresh that cache every 1800 seconds. No manual cleanup needed.
It Handles thousands of operations per second: Redis is built for scale. You can handle 100k+ requests per second with the right setup. It’s a backend superhero that never complains.
Let’ see redis use cases in LMS
Imagine you’re building a dashboard in your LMS where students can browse available courses. Every time a student opens this page, your server does something like this:
Connects to MongoDB
Runs a query to fetch all available courses
Formats the data
Sends it to the frontend
Now this might be fine for 5 users. But what about 500? Or 5000?
That’s where Redis comes in.
Without cache: Every single user triggers a full database query. That’s expensive. You’re overloading your DB, burning server time, and making users wait.
With cache: Before hitting the database, you ask Redis:
const cachedCourses = await redis.get(ALL_COURSES_KEY);
if (cachedCourses) {
return res.status(200).json({
success: true,
source: "cache",
courses: JSON.parse(cachedCourses)
});
}
Only if Redis doesn’t have it, you hit the database:
const courses = await Course.find({ deleted: false })
// and set the data in cache with expiration
await redis.set(ALL_COURSES_KEY, JSON.stringify(courses), "EX", 3600);
Result? Drastically faster response times, reduced database load, and a smoother UX for every student browsing courses.
Cache Invalidation
Caching isn’t hard. Invalidating caches, that’s the real challenge. What happens when a course is updated or deleted? You don’t want to serve stale data.
Strategies to handle that:
Set expiry time: when you set the cache, add an expiry (
EX 3600
means 1 hour). This ensures it won’t stay forever.Manual invalidation: let’s say an admin edits a course. Right after updating it in the database, you delete the relevant Redis cache:
await redis.del(ALL_COURSES_KEY);
That way, the next user fetch will hit the DB and refresh the cache.
Versioned key: sometimes, people add a version to the cache key like
courses:v1
. If the structure or data changes significantly, just change the key tov2
and start fresh.
Redis Does More Beyond Caching
Although caching is the most common use case, Redis can also power other parts of your LMS:
Session management: Instead of storing session data in cookies or your database, use Redis for fast, temporary session storage (especially helpful in login flows).
Rate Limiting: Stop abuse by rate limiting requests with Redis counters.
const key = `ratelimit:${userId}`; const requests = await redis.incr(key); if (requests === 1) await redis.expire(key, 60); // 60 seconds if (requests > 10) { return res.status(429).send("Too many requests"); }
Queues and Background Jobs: Need to process video uploads, send emails, or generate certificates? Use Redis-backed queues (like with BullMQ or RSMQ)
Redis Setup
Install Redis
npm install redis && redis-server
Add a Redis Client
npm install ioredis
const redisClient = () => { const redisUrl = process.env.REDIS_URL; if (!redisUrl) { throw new Error("Redis connection failed: REDIS_URL not set"); } return new Redis(redisUrl); }; const redis = redisClient(); redis.on("connect", () => { console.log("Redis connected..."); }); redis.on("error", err => { console.error("Redis error:", err.message); }); redis.on("close", () => { console.warn("Redis connection closed"); });
Conclusion
Caching might sound like a backend performance tweak, but it directly impacts your user’s experience. In an LMS, where students are jumping between lectures, watching videos, submitting quizzes, speed matters.
Redis gives you the power to deliver fast, scalable performance with minimal effort. Whether you're caching course data, storing sessions, or preventing abuse. Redis is more than a tool. It’s a backend cheat code.
So next time your dashboard feels sluggish or your DB is sweating under load, ask yourself: Should this be cached?
Spoiler: It probably should.
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Written by

Savita Verma
Savita Verma
I'm a frontend developer trying to do more than just ship fast code. I care about clarity, purpose, and mindful work. Currently based in Bangalore and working my way toward becoming a senior dev. I write about the technical, the emotional, and everything in between. Feel free to reach out, I’m always excited to chat about frontend, tech, or opportunities. Email Id: svitaverma10@gmail.com