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Cassandra uses a masterless architecture to distribute and replicate data efficiently.

Stateless servers are easier to scale because they don't store user session data locally.

Distributed caching spreads data across multiple servers for better performance and reliability.

Caching helps applications respond faster by serving data from memory instead of hitting the database.

Sharding splits databases into smaller parts to improve performance and scalability.

The choice between SQL and NoSQL databases depends on your application's specific needs.

MongoDB uses sharding to distribute data across multiple servers for better scalability.

Scaling databases involves deciding whether to enhance read or write capabilities based on traffic patterns.

Consistent hashing helps distribute data across servers with minimal movement.

Cache stampede occurs when many requests hit the database due to a cache miss.

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.