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Exponential backoff with jitter.

Project description

An exponential backoff implementation as described in an AWS architecture post. Uses full jitter.


from expbackoff import Backoff

backoff = Backoff(base_seconds=0.5, max_seconds=120)

while True:
    backoff.sleep() # Depending on previous failures, potentially delay before performing an action
    success = do_a_thing() # Perform an action, record whether it succeeded
    backoff.update(success) # Update the failure count


  • backoff = expbackoff.Backoff(...)

  • Create a Backoff object. Arguments:

    • base_seconds (required): Part of the backoff calculation, i.e base_seconds * 2 ^ (failures - 1)

    • max_seconds (required): Max seconds to delay, regardless of failure count.

    • failures (optional): Number of current failures. Useful if another service is handling your retries. Defaults to 0.

    • random (optional): A random object. Defaults to random.random.

  • backoff.sleep(): If failures have occurred, sleep for backoff.get_seconds_with_jitter()

  • backoff.update(success): Update the failure count by passing a boolean representing success.

  • backoff.get_seconds_with_jitter(): The current backoff time in seconds, with jitter applied. Zero if there are no recorded failures. Read-only.

  • backoff.get_raw_seconds(): The current backoff time in seconds, without jitter applied. Zero if there are no recorded failures. Read-only.

  • backoff.failures: The current number of failures. Read-only.


Popular options are retrying and backoff. These both use a decorator API so aren’t suitable for all uses - hence expbackoff.

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