@Marvin how to configure docker work pool through prefect.yaml to auto remove containers

To configure a Docker work pool in Prefect 2.x, you can use the following methods: 1. Prefect CLI commands 2. Prefect Python API 3. Prefect UI The details on how to specifically configure the Docker work pool to auto-remove containers were not directly available in the excerpts. Typically, in Docker, you can use the

--rm

flag with

docker run

to automatically remove the container when it stops. In the context of Prefect, you might need to specify this behavior in a configuration file or through the API when setting up your Docker work pool. For more information on configuring work pools, you can refer to the Prefect documentation here. While the auto-removal of containers is a common Docker feature, the specifics of implementing this with Prefect work pools would likely involve setting the appropriate flags within the configuration of the Infrastructure block that pertains to Docker. If there is a

prefect.yaml

configuration file involved, you would need to edit that file and include the necessary parameters to ensure that containers are cleaned up after their work is completed. If this doesn't fully answer your question, could you provide more details or context? Alternatively, if you need instructions on how to use the Prefect CLI or API to configure your Docker work pool, let me know, and I will provide additional information.

@Marvin what is the default value of mem_limit for a docker container?

The default memory limit for a Docker container can vary depending on the Docker version and system configuration. However, if not specified otherwise, a Docker container does not have a memory limit and can use as much memory as the host's kernel scheduler allows. According to the Prefect documentation, when using Prefect with managed execution, memory is limited to 2GB of RAM, which includes all operations such as dependency installation. This might refer to the specific limit set for Prefect-managed Docker containers in a certain context, such as the Prefect Cloud's managed work pools. You can learn more about the managed execution and resource limits in Prefect by visiting the documentation. For general Docker usage, if you need to set a memory limit for your containers, you can do so by using the

--memory

or

-m

flag when running a container. If you don't set this flag, the container will not have a strict memory limit and will be constrained only by the available memory on the Docker host. If you are working with Docker in the context of Prefect, you'll want to check the configuration settings for the relevant Infrastructure block that you are using to run your workflows and ensure that you define any necessary memory limits according to your requirements.