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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.

Graceful degradation allows apps to function partially during service failures.

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

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

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

The Circuit Breaker pattern controls service calls to prevent failures from spreading.

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

Kafka uses retry topics and delayed retries to manage message failures efficiently.

Alerting helps notify the right people about production issues quickly.

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

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

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Backpressure helps manage message flow in Kafka during traffic spikes.

The Bulkhead Pattern isolates resources to protect critical workloads from failures.