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Exponential Backoff with Jitter

The reference retry algorithm for network calls and message redelivery.

Definition

Exponential backoff computes the delay as base × 2^n (n = attempt number), capped by a maximum. Jitter adds randomness to that delay to avoid the thundering herd, where many clients retry in lockstep after an outage and overwhelm the service just as it recovers. Common variants are full jitter and decorrelated jitter.

Origin

Popularized by the AWS Architecture Blog post "Exponential Backoff and Jitter" (Marc Brooker, 2015); the backoff principle derives from the binary exponential backoff algorithm of the IEEE 802.3 standard (CSMA/CD Ethernet).

Example in context

Full jitter:
delay = random(0, min(cap, base * 2 ** attempt))

  • DLQ — destination once backoffs are exhausted.
  • Idempotency — prerequisite for safe retries.

Last updated: June 20, 2026