🚀 How Uber Handles 40M Reads with Redis Cache!

Have you ever wondered how tech giants like Uber maintain lightning-fast performance while managing millions of database reads?

This architecture shows Uber’s secret sauce:
Redis Cache to reduce database load.
CDC (Change Data Capture) to keep caches updated.
Multi-region cache warming for consistency across regions.
Sharding to distribute database and cache workload efficiently.

It’s a perfect mix of scalability and speed.

🔹 Why is this important?
Caching isn’t just about speed—it’s about user experience. Nobody likes slow apps, and systems like this ensure every user gets the best performance, no matter the scale.

💡 What’s your go-to caching strategy in your projects? Let’s discuss in the comments below!

#techarchitecture #rediscache #scalability #softwareengineering #noncodersuccess