Any concept.
clear in 60 seconds.

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

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.

Kafka uses heartbeats and timeouts to check if consumers are alive.

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.

Lamport Timestamps help order events in distributed systems while preserving causality.

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.

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

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

Idempotency ensures that repeated operations in APIs do not cause duplicate effects.

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

Backpressure helps manage message flow in Kafka during traffic spikes.

Kafka producers use ACKs, retries, and idempotence to ensure reliable message delivery.

Kafka consumers can pause and resume message processing to handle backpressure effectively.

Graceful degradation allows apps to function partially during service failures.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

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

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