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Kafka uses replication and in-sync replicas to ensure data is always available.

Choosing between single and multi-region architecture affects system resilience and cost.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

Fallbacks allow systems to handle failures safely and maintain user experience.

Dependency failures can disrupt applications, but resilience patterns can help manage them.

Global failover ensures applications remain available by redirecting traffic from failed regions to functioning ones.