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Database replication is one of the most important building blocks of scalable and highly available systems. In this video, we explain database replication from scratch, focusing on real-world system design decisions used by companies like Netflix, Instagram, Facebook, and Amazon. You’ll learn how replication improves availability, performance, and fault tolerance — and what trade-offs engineers must handle in production systems. What you’ll learn in this video: What database replication really is Why replication is critical for high availability Leader-follower (primary-replica) replication explained How read and write splitting works What read replicas are and how they scale systems Replication lag and why it happens How replication affects consistency Failover challenges and split-brain problems Real-world use cases in e-commerce, social media, and analytics Replication strategies in MySQL, PostgreSQL, MongoDB, Cassandra Best practices for production-ready replication Trade-offs between availability, performance, and consistency Who should watch this video: Backend developers and software engineers System design interview candidates SDE-1, SDE-2, and SDE-3 engineers Developers working with distributed systems Anyone building scalable backend architectures Replication is not optional at scale — understanding it properly will help you design robust, production-grade systems. #DatabaseReplication #SystemDesign #BackendEngineering #DistributedSystems #Databases #HighAvailability #ReadReplicas #SoftwareArchitecture #ScalableSystems #SystemDesignInterview