How Netflix Serves 247M Users Without Crashing || Caching in 60s

⚡ Caching is how Netflix serves 247M users without melting their database.
And it's one of the simplest concepts in system design.

In this 60-second beginner Short, you'll learn:
→ Why hitting the database on every request is a disaster
→ What a Cache actually is (brain memory analogy)
→ Cache HIT vs Cache MISS — the two paths every request takes
→ How the MISS→save→HIT cycle works step by step
→ When to use caching and when to skip it

🔥 WHERE CACHING IS USED IN THE REAL WORLD:
• Netflix — Redis caches 1M+ movie/show metadata entries
• Twitter — Redis powers home timelines for 350M+ users
• Facebook — Memcached handles over 1 billion requests/sec
• YouTube — Video metadata cached at edge CDN nodes
• Amazon — ElastiCache (Redis) reduces DB load by 90%+

📚 KEY CONCEPTS IN THIS VIDEO:
• Cache HIT — answer found in cache, returned instantly (less than 2ms)
• Cache MISS — answer not found, fetched from DB (120ms), then saved
• TTL (Time-To-Live) — how long a cached answer stays valid
• Redis / Memcached — the two most popular caching tools
• Read-heavy workloads — the best use case for caching

💡 Drop a comment: what's the first thing you'd cache in your app?

Practice DSA patterns at → https://easydsa.in

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#Redis #Memcached #BackendDevelopment
#WebDevelopment #TechShorts #LearnToCode
#SystemDesignInterview #CodingInterview #ComputerScience
#Programming #100DaysOfCode #DistributedSystems
#DatabaseOptimization #TechEducation #easydsa

Видео How Netflix Serves 247M Users Without Crashing || Caching in 60s канала EasyDSA