Any concept.
clear in 60 seconds.

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

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

Jitter helps spread out client retries to avoid traffic spikes.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

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

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

Backpressure helps manage message flow in Kafka during traffic spikes.

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

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

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

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