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

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Kafka Replication and ISR: Ensuring Data Availability
Kafka uses replication and in-sync replicas to ensure data is always available.

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Elasticsearch Reindexing: Understanding the Dual-Write Trap
The dual-write trap in Elasticsearch can cause data inconsistency during reindexing.

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Elasticsearch Shards vs Replicas: Partitioning vs Duplication
Primary shards partition data, while replica shards duplicate it for redundancy.

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Kafka Consumer Assignment Strategies: Range vs RoundRobin vs Sticky
Kafka uses different strategies to assign partitions to consumers in a group efficiently.