@Marvin Any tips to running run_deployment in a mapped task? I always seem to have one that gets lost/disconnects

Running

run_deployment

within a mapped task can sometimes lead to issues such as disconnections. Here are some tips to mitigate these problems: 1. Retry Mechanism: Utilize Prefect's retry mechanism for tasks. If a task fails due to a disconnection, Prefect can automatically retry it. You can specify the number of retries and the delay between them. For instance, you can set

retry_delay_seconds

to customize the retry intervals. More on this can be found in Prefect's task retry documentation. 2. Ensure Proper Configuration: Make sure your Prefect environment is correctly configured, especially if using Prefect Cloud. Check that

PREFECT_API_URL

and

PREFECT_API_KEY

are set correctly. More troubleshooting tips for Prefect Cloud can be found here. 3. Understand Prefect 3.x Changes: Prefect 3.x has some significant changes compared to earlier versions. For example, agents are replaced by workers, and work pools replace infrastructure blocks. Be aware of these changes to ensure your setup aligns with the new architecture. You can read more about these changes in the Prefect 3.x gotchas. By implementing these strategies, you should be able to reduce the likelihood of tasks getting lost or disconnected when running deployments in a mapped task.