System Design Explained: Caching After Database Sharding | Reduce API Cost & Improve Performance 🚀
About this lesson
System Design can feel complex — but once you break it down, it becomes simple and powerful. In this video, we continue from database sharding and move to one of the most important concepts in backend architecture: Caching. 💡 What you’ll learn: • Why caching is used in system design • How caching reduces API costs • How it improves performance and scalability • Real-world use case explained simply If you’re preparing for interviews or building scalable apps, this is a must-know concept. 🚀 I’ve also built a beta application around this — try it out and share your feedback! 📌 Don’t forget to like, share, and subscribe for more system design breakdowns. ⸻ system design, caching explained, database sharding, backend development, system design interview, caching in system design, redis caching, api optimization, scalability, software engineering, distributed systems, backend architecture, tech explained, coding interview preparation, system design tutorial, learn system design, indian developers, programming concepts, high level design, low level design
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