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

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

Jitter helps spread out client retries to avoid traffic spikes.

A timeout indicates a deadline was exceeded, not necessarily a failure.

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

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

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

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

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

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

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Kafka can help ensure messages are processed once, but requires careful design.

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

The Token Bucket algorithm helps manage how many requests a server can handle.