Data replication strategies for availability include synchronous replication (real-time copying to secondary nodes for zero data loss), asynchronous replication (delayed copying for performance), and multi-region replication (storing copies across global data centers). Database clustering (e.g., MySQL Group Replication) ensures high availability, while distributed file systems (Ceph, HDFS) replicate data across nodes. Quorum-based writes require majority confirmations to prevent splits, and erasure coding splits data into fragments with parity for space-efficient redundancy.
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What are the data replication strategies for availability? Data replication strategies for availability include synchronous replication, where data is written to multiple nodes simultaneously, ensuring zero data loss during failures. Asynchronous replication prioritizes speed by delaying updates to secondary nodes, suitable for geographically distributed systems. Multi-master replication allows multiple nodes to accept writes, improving fault tolerance. Hybrid approaches combine synchronous for critical data and asynchronous for non-critical. Cloud providers use zone-aware replication to distribute data across availability zones, ensuring high uptime and disaster recovery.
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Data replication strategies for identity systems include synchronous replication (real-time mirroring across primary/secondary databases) for strong consistency, and asynchronous replication (eventual consistency) for global scalability. Blockchain networks use peer-to-peer replication to distribute ledger copies across nodes. Multi-region deployments (e.g., AWS Availability Zones) ensure redundancy. Quorum-based writes require majority node agreement before committing data, balancing availability with fault tolerance during network partitions.
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