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Classifying failures and using controlled retries in Kafka prevents outages.

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

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Kafka uses retries and Dead Letter Queues to manage message processing failures.

Poison messages in Kafka can cause infinite retries, risking system stability.

An error budget shows how much downtime is acceptable while meeting reliability goals.

Graceful degradation allows apps to function partially during service failures.

Fail Fast means stopping quickly on errors, while Fail Safe ensures safety in failures.

Alerting helps notify the right people about production issues quickly.

The retry pattern helps systems recover from temporary failures but can cause overload if misused.

Kafka consumer reprocessing involves safely replaying events to correct system states.

Crash failures stop a service, while network failures disrupt communication.

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

Kafka uses Dead Letter Topics to handle messages that repeatedly fail processing.