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

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

Exponential backoff helps manage retries by increasing wait times to reduce system overload.

Backpressure helps manage message flow in Kafka during traffic spikes.

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

Cascading failures occur when one service's failure impacts others, causing widespread issues.

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

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

Late-arriving events can be dropped, updated, or routed based on system needs.

Partial failure means some services fail while others keep running, impacting system reliability.