@Marvin how do I set exponential backoff as a retry strategy?

To set exponential backoff as a retry strategy, you can use the

exponential_backoff

utility provided by Prefect. Here's how you would use it for a task with retries:

python
from prefect import task
from prefect.tasks import exponential_backoff

@task(retries=3, retry_delay_seconds=exponential_backoff(backoff_factor=10))
def some_task_with_exponential_backoff_retries():
    # Your task logic here
    ...

In the example above, the task is set to retry up to 3 times (with retries), with a

backoff_factor

of 10 seconds. If you also want to add jitter to prevent many tasks from all retrying at the exact same time, you can use the

retry_jitter_factor

option. Here is an example of a task with exponential backoff and jitter:

python
from prefect import task
from prefect.tasks import exponential_backoff

@task(
    retries=3,
    retry_delay_seconds=exponential_backoff(backoff_factor=10),
    retry_jitter_factor=1,  # Adding jitter;
)
def some_task_with_exponential_backoff_retries_and_jitter():
    # Your task logic here
    ...

With

retry_jitter_factor

set to 1, the retry delay will vary up to a maximum of double the base delay time before each retry. For more detailed documentation on tasks and exponential backoff, visit Prefect Docs.