To use backoff retries in Prefect, you can configure your tasks with retry parameters. Here is an example of how to set up a task with an exponential backoff retry strategy:

python
from prefect import task
from prefect.tasks import exponential_backoff

@task(
    retries=3,  # The number of retry attempts
    retry_delay_seconds=exponential_backoff(backoff_factor=10),  # Exponential backoff delay
    retry_jitter_factor=1,  # Jitter to avoid thundering herds
)
def some_task_with_exponential_backoff_retries():
    # ... task implementation ...

In this code snippet,

some_task_with_exponential_backoff_retries

is a task that will retry up to 3 times with an exponential backoff strategy. The

exponential_backoff

function is used to calculate the delay between retries, where

backoff_factor=10

means the retries will occur with delays of approximately 10, 20, and 40 seconds. The

retry_jitter_factor=1

adds jitter to the delay to help spread out retries in the case of simultaneous task retries. This example was found within Prefect's official documentation, and you can use this approach to set backoff retries for your tasks. Keep in mind that task-specific retry configurations take precedence over any global retry settings you might have in place.