Master the art of strategic caching across your entire system architecture - from your user's browser to your database server.
Save
Complete lesson & earn 250 PX
Learn where and how to cache data effectively throughout your system without falling into common pitfalls.
EXERCISE
2Discover how your web browser is already caching tons of stuff to make websites lightning fast, and why this matters for system design.
Save
Ever noticed how Facebook loads instantly the second time you visit, but takes a moment on the first visit? Your browser is working like a super-smart librarian!
Client-Side in Action:
When you visit a website, your browser automatically saves:
Real Example: Netflix remembers where you stopped watching a movie on that specific browser. Switch to your phone? You might start from the beginning because each device caches separately.
The Magic: Instead of downloading the same company logo 50 times while browsing, your browser says: "I already have this!" and shows the cached version instantly.
Key Insight: "Client-side caching is like having a personal copy of frequently used items - no need to ask for them again!"
This is why clearing your browser cache makes websites load slower initially - you're deleting your browser's helpful memory!
EXERCISE
4Understand how centralized caches like Redis act as a shared memory bank for all parts of your application.
Imagine a busy restaurant kitchen where every chef has to run to the main pantry for each ingredient. Chaos! Now imagine a shared prep station where commonly used ingredients are pre-arranged. Much better!
This is exactly what Remote Cache (like ) does for your application.
Remote Cache Characteristics:
Practical Example: User profile information that's needed by:
Instead of each service hitting the separately, they all share the cached profile from Redis.
Memory Management: Since RAM is limited and expensive, you can't cache everything. You must:
Key Insight: "Remote cache is like a shared notepad for your entire system - everyone can read from it, but space is limited so choose wisely!"
Think of it as your application's shared short-term memory!
Save
EXERCISE
5Discover an ingenious way to use your database itself as a cache by pre-computing expensive operations.
Here's a mind-bending idea: What if your could cache things for itself?
The Problem: You run a blogging platform. Every time someone views a user's profile, you need to:
Counting posts every single time is like manually counting your books whenever someone asks how many you own!
The Clever Solution:
Add a total_posts column to your users table and keep it updated!
-- Instead of this expensive query every time:
SELECT COUNT(*) FROM posts WHERE user_id = 123;
-- Just read this pre-calculated value:
SELECT total_posts FROM users WHERE id = 123;
How to Keep It Fresh: Whenever someone publishes a post:
-- In the same transaction:
INSERT INTO posts (title, content, user_id) VALUES (...);
UPDATE users SET total_posts = total_posts + 1 WHERE id = 123;
Save
EXERCISE
1Before we explore where to cache, let's understand when caching can be dangerous and why some data should never be cached.
Save
EXERCISE
3Learn how Content Delivery Networks work like a worldwide network of express delivery centers to serve content from the closest location.
Save
EXERCISE
6Learn why caching at every possible layer can backfire spectacularly and how to choose your caching battles wisely.
Save
Key Insight: "Sometimes the smartest cache is hiding in plain sight - pre-compute expensive operations and store the results!"
This is like keeping a running total on your shopping list instead of adding everything up each time you check out!
Imagine you just sent $100 to your friend through a banking app. Your friend calls excitedly: "Thanks for the money!" But when you check your account balance, it still shows the old amount. You panic: "Did the transfer fail?"
This nightmare scenario happens when banks cache account balances. Some data is too important to be stale.
The Staleness Problem: means serving potentially outdated information. While this is fine for a website logo (who cares if it's 5 minutes old?), it's catastrophic for:
Key Insight: "If being wrong for even a few seconds could cause problems, don't cache it. Consistency trumps speed for critical data."
Caching is like having a smart assistant who remembers things for you - incredibly helpful, but you wouldn't want them giving outdated information about your bank balance!
Imagine ordering pizza from Italy while sitting in New York. Sounds delicious, but you'd wait hours for delivery! This is exactly what happens when websites serve content from far-away .
Enter CDN (Content Delivery Network): A CDN is like having pizza shops in every major city. When you order, you get it from the nearest location!
How CDN Magic Works:
User in Mumbai → Requests image from Australian website
↓
Mumbai CDN Server
↓
Has image? → YES: Serve instantly! 🚀
↓
NO: Fetch from Australia
↓
Cache image + Serve to user
↓
Next Mumbai user → Gets instant service!
Real-World Example: You're in India viewing a website hosted in Sydney. Without CDN: Your request travels 10,000+ km to Australia and back. With CDN: Your request goes to a Mumbai server just a few kilometers away!
Key Insight: "CDN is geographically distributed - bringing content closer to users for lightning-fast delivery."
Think of CDN as Amazon's warehouse strategy: instead of shipping everything from one location, they have warehouses everywhere!
Picture this horror story: You update a user's profile photo, but it still shows the old photo everywhere for hours. Users are confused, support tickets flood in. What went wrong?
You fell into the Over- Trap!
The photo was cached at 5 different levels:
The Invalidation Nightmare: To update one photo, you now need to:
What if one fails? Users see different photos depending on how they access your site!
The Golden Rule:
"Just because you CAN cache everywhere doesn't mean you SHOULD."
Smart Caching Strategy:
Key Insight: "More cache layers = More complexity. Choose your battles and cache strategically, not everywhere!"
Think of caching like salt in cooking - a little enhances the flavor, too much ruins the dish!