Verified65% confidenceFactExact time
Without exponential backoff, a brief server-side outage causes all failed clients to immediately retry simultaneously, forming a retry storm that is more destructive than the original traffic.
3
Sources
65%
Confidence
Long-term
Relevance
8/9/2026
First Seen
Sources
OpenAI意外DDoS攻击Hugging Face事件复盘与启示
Related Claims
UnverifiedExponential backoff is a strategy in which the client progressively lengthens the waiting interval when retrying failed requests, mainly addressing two types of problems: rate limiting (HTTP 429) and brief unavailability of downstream services; compared with fixed-interval retries, it can significantly reduce pressure on services that are already overloaded.79% similarUnverifiedCombining an exponential backoff strategy can avoid the thundering herd effect caused by a large number of retry requests at the moment a service recovers77% similarUnverifiedCascading failure is a typical failure mode in distributed systems: when a component responds slowly due to excessive load or an anomaly, upstream services keep retrying or piling up requests, thereby transmitting pressure to other dependent components and ultimately causing large-scale unavailability.75% similarUnverifiedExponential backoff assumes the failure is temporary and server-side pressure will ease over time, but for semantic failures (such as a slug already being taken) it only stretches a single failure into a continuous stream of requests.75% similarUnverifiedExponential backoff retry retries failed requests at gradually increasing time intervals to avoid cascading concurrent surges.75% similar
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