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Distributed Consensus for Geo-Replicated Storage

#distributed-systems #database #scalability

Architect a consensus protocol for a globally distributed, low-latency key-value store.

Design a custom consensus protocol for a key-value store spanning five geographic regions. The system must prioritize low latency for reads and writes while ensuring strong consistency for financial transactions. Compare the trade-offs between using Raft with leader leasing, Multi-Paxos, or a quorum-based approach like DynamoDB's. Describe how you would handle clock synchronization issues and network partitions to ensure high availability (CAP theorem trade-offs).