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This lecture covers the challenges of server failures in large-scale systems and the use of replication for fault tolerance and load balancing. It explains synchronous and asynchronous replication, primary site replication, and peer-to-peer replication. The implementation steps for capturing and applying changes in replicated data are discussed, along with the trade-offs between synchronous and asynchronous replication. The lecture also delves into the CAP theorem, NoSQL databases, eventual consistency, and the tuning of read and write quorums for different consistency levels.
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