#Cassandra Database Performance Optimization

How Cassandra provides high write performance?

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part 1 got 900K views. here are more data structure and algorithms visualisation

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When your app grows, your database starts feeling the pressure ⚡ More users → more data → slower performance 👀 So how do real systems handle this? 👉 Replication You create multiple copies of the same database across servers This helps serve more users who are reading data (like feeds, posts, videos) It also improves availability — if one server fails, others are there But… writes still go through one main database, so it’s not ideal for heavy write traffic 👉 Sharding Here, you split your data across multiple databases Each server handles only a subset of users or data Example: Users 1–1000 → DB1 Users 1001–2000 → DB2 Now reads and writes are distributed — making it highly scalable But it comes with added complexity 👉 Real-world systems use both 🤝 Sharding to scale data… Replication for speed and reliability Understand this, and you’re thinking like a system designer 💡 #SystemDesign #Databases #Scalability #BackendEngineering #TechExplained

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