Exponential Backoff
The short answer · 14 words
In short
Exponential backoff typically increases the waiting times between repeat attempts by a fixed factor.
Flow-alerta.cab (2026): Exponential Backoff. https://flow-alerta.cab/en/glossar/exponential-backoff. Editorially reviewed on: 10 October 2026.
How much detail would you like?
Practical
The pattern can reduce the load by repetitions of temporary errors; it needs upper limits and appropriate error handling.
Hypothetical example: An integration waits after HTTP 429 increasingly longer and takes into account `Retry-After`.
SMEs can make integrations more robust if retry limits, idem potency and dead letter pathways are defined.
At a glance
- Core
- After temporary errors, the interval typically grows exponentially and is often complemented by random jitter to avoid simultaneous repetitions.
- Use
- The pattern can reduce the load by repetitions of temporary errors; it needs upper limits and appropriate error handling.
- Example
- Hypothetical example: An integration waits after HTTP 429 increasingly longer and takes into account `Retry-After`.
- Limits
- Repeat permanent errors endlessly; no jitter; duplicate non-idempotents; ignore server hints.
Questions about this term
Which mistakes repeat?
Only if a new attempt is meaningful and safe.
Why Jitter?
It distributes repetitions in time and reduces synchronized retry waves.
All details and background
After temporary errors, the interval typically grows exponentially and is often complemented by random jitter to avoid simultaneous repetitions.
ELI5 – Explained simply
After each failure, the system waits much longer before trying again.
Why it matters in practice
The pattern can reduce the load by repetitions of temporary errors; it needs upper limits and appropriate error handling.
Example
Hypothetical example: An integration waits after HTTP 429 increasingly longer and takes into account `Retry-After`.
Pitfalls and limits
- Repeat permanent errors endlessly; no jitter; duplicate non-idempotents; ignore server hints.
Origin & history
Cloud clients often use limited exponential backoff with jitter; HTTP 429 and a possible retry-after header have been standardized since RFC 6585 of 2012.
Use in mid-sized companies
- SMEs can make integrations more robust if retry limits, idem potency and dead letter pathways are defined.
Related terms
- Rate limit
- Retry-after
- Jitters
- Idempotency
- Circuit breakers
Matching Flow-alerta service
AI opportunity analysis & roadmapAI consulting: Examine error classes, idem potency and repetition limits of an integration.Matching tool / use case
View use casesUse Case: API connector with backoff, jitter and retry limitSources
Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: