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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.

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

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

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

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Retry storms occur when too many retries overload a failing service.

A Circuit Breaker helps prevent system failures by stopping calls to unhealthy services.

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

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