Hi all, I have a question. I am trying to connect to the latest version of prefect 3 in my project. At present, my usage is still very simple. The python service creates process nodes through annotations such as @flow and @task, and uses artifact to report data to the prefect API server. But I found that it has a great impact on performance. Is there any good way to improve performance? Before joining Prefect cost: 16 ms After joining Prefect cost: 1083 ms

Is this a toy test case? If the job only takes 16ms, I'm not sure why you would want to add the overhead of orchestration in the first place? There will be overhead, but the idea is that the observability and other features added by prefect will be worth it for jobs that take a long time to run. (1 second of overhead is tiny if your total job takes 5 hours, say)

Thanks for your reply. The performance data is obtained through a toy test case. It seems that prefect is mainly suitable for offline long task execution.🙏