Any concept.
clear in 60 seconds.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

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

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

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

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

Cache invalidation is about knowing when to refresh cached data.

Jitter helps spread out client retries to avoid traffic spikes.

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

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

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

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.

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