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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.

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

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

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

Graceful degradation allows apps to function partially during service failures.

Observability helps engineers understand system behavior to debug production issues effectively.

Fail-stop means a system stops and stays down, while fail-recover means it can come back but needs to be ready.

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