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Timeouts in distributed systems indicate suspicion, not confirmed failure.

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

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

Alerting helps notify the right people about production issues quickly.

Classifying failures and using controlled retries in Kafka prevents outages.

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.

Cache penetration occurs when requests for non-existent data overload the database.

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

Distributed locks ensure only one server performs a task, avoiding duplication.

Availability is about access; reliability is about correct performance.

Choosing the right distributed lock depends on your system's needs and existing tools.