Verified70% confidenceSolutionExact time
Jitter introduces a random amount into the backoff interval to prevent large numbers of clients from retrying synchronously at the same moment and causing a thundering herd.
4
Sources
70%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedExponential backoff progressively lengthens the wait time between retries, while random jitter adds a random offset on top of the backoff time to smooth out traffic spikes.79% similarUnverifiedFull jitter sacrifices retry latency for individual clients, but significantly reduces the temporal synchronization among the client population, most effectively smoothing out traffic spikes.74% similarUnverifiedIntermittent error incidents affect different usage patterns differently: interactive applications with synchronous calls need retry logic as a fallback; batch offline tasks can absorb peaks through queue retries but need to control the retry pace; and for latency-sensitive scenarios, even if the request eventually succeeds, the latency jitter caused by retries affects the experience.73% similarVerifiedExponential backoff is a classic fault-tolerance strategy in distributed systems, where clients wait at exponentially increasing intervals (e.g., 1 second, 2 seconds, 4 seconds, 8 seconds) upon request failure, with random jitter added to avoid the thundering herd effect.71% similarUnverifiedHandling 429 rate limiting should use exponential backoff with added random jitter to avoid multiple clients retrying simultaneously and worsening congestion.71% similar
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