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Database Replication: Scale and Survive Failures
Database replication helps keep data available and allows systems to handle more read requests.

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Sync vs Async Replication: Choosing the Right Approach
Synchronous replication waits for confirmation from replicas, while asynchronous allows faster writes without waiting.

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Cross-Region Database Replication: Keeping Databases in Sync
Cross-region database replication keeps databases synchronized across different geographical locations.

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Understanding Database Replication in High-Level Design
Database replication enhances data availability and read performance but has challenges like replication lag.

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Log Replication and Majority Commit in Distributed Systems
Log replication ensures data consistency by requiring majority acknowledgment before committing changes.

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Quorum-Based Replication: How Many Replicas Must Agree?
Quorum-based replication determines how many database replicas must agree for reads and writes.

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Understanding Elasticsearch Cross-Cluster Replication (CCR)
Elasticsearch CCR allows real-time data replication for faster disaster recovery.

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Understanding Read Replicas in Database Scaling
Read replicas allow databases to handle more read requests by distributing them across multiple copies.

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Understanding Raft Log Replication: matchIndex vs commitIndex
matchIndex tracks what each follower has, while commitIndex shows what is committed.

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Hinted Handoff: Handling Replica Failures in Databases
Hinted Handoff allows a database to manage temporary replica failures by storing missed write operations.