@Marvin If I'm using a custom Dockerfile/image and cannot use prefect's base image, are there any packages/lines I should make sure to include?

If you're building a custom Docker image for Prefect and cannot use Prefect's base images, there are no explicit lines or packages that are mandated to be included. However, it would be wise to ensure that your custom image meets the needs of your flows and tasks. Here are a few general recommendations: 1. Include Python, along with pip to manage Python packages. 2. Ensure you include any specific Python packages that your Prefect flows rely on. 3. Consider using a

requirements.txt

file to manage and document Python dependencies. 4. If you want to extend from a Prefect base image, you can use something like:

Dockerfile
   FROM prefecthq/prefect:2-latest
   RUN pip install <your-dependencies>

5. If you are building from scratch, just make sure to have a stable environment for your tasks to execute in. For further details on working with Docker and Prefect, you can refer to their Docker guide. Keep in mind that what you include will depend heavily on the tasks you are running and any other services your flow might interact with. It may also be useful to monitor the Prefect community or GitHub for any known issues with custom images.

@Marvin it looks like my kubernetes pods are crashing with the error:

failed to create containerd task: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: exec: "prefect": executable file not found in $PATH: unknown

However, in my custom docker image, I create an environment that contains

prefect

(

2.15.0

). I've tested it locally by running:

docker run -i -t image_name /bin/bash

and then running

prefect

Any ideas?

It appears that your issue might be related to the Kubernetes environment not being set up correctly to find your Prefect executable in the

$PATH

. Here's what you can check: 1. Kubernetes Configuration: Ensure that the environment variables, including

$PATH

, are correctly set in your Kubernetes job definition. This should reflect the environment where the Prefect executable resides. - Kubernetes infrastructure requirements - Deployment on Kubernetes Guide 2. Container Image: Verify that the Prefect executable is correctly installed in the Docker image and that it's in a location that's included in the

$PATH

. This can be manipulated in the Dockerfile using

ENV PATH /path/to/prefect:$PATH

. 3. Service Account Permissions: While the search didn’t bring up an exact match to your issue, it did highlight that errors may arise due to insufficient permissions. Ensure your service account has the appropriate permissions if your workflow requires any sort of cloud interaction. 4. GitHub Issues: There were no open GitHub issues found related to this particular error message. However, you might want to search for closed issues or create a new one if you think the problem is specific to Prefect or its interaction with Kubernetes: Prefect GitHub Issues. Since I wasn't able to find a specific solution via the tool search, I recommend double-checking the image environment and Kubernetes configuration as your next troubleshooting steps. If these do not resolve the problem, engaging with the community through a GitHub issue or Prefect discourse might help uncover the root cause.