Daniel
04/09/2024, 2:43 PMMarvin
04/09/2024, 2:44 PMprefect deploy
command from a remote server. You can specify that one or more flows should be pulled from a remote location at runtime by using the from_source
method. Here's an example of deploying a flow that is defined in a remote repository:
python
from prefect import deploy, flow
@flow(log_prints=True)
def local_flow():
print("I'm a flow!")
if __name__ == "__main__":
deploy(
local_flow.to_deployment(name="example-deploy-local-flow"),
flow.from_source(
source="<https://github.com/org/repo.git>",
entrypoint="flows.py:my_flow",
).to_deployment(
name="example-deploy-remote-flow",
),
work_pool_name="my-work-pool",
image="my-registry/my-image:dev",
)
In this example, the local_flow
is defined locally and deployed alongside another flow that is pulled from a remote source.
For more information on deploying flows with Prefect, refer to the Prefect documentation:
- Guide to prefect-deploy
- Concepts of Deployments
Ensure you have appropriate permissions and access to the remote repository from the server you're deploying from.Daniel
04/09/2024, 2:47 PMMarvin
04/09/2024, 2:47 PMprefect deploy
command remotely, such as within a Kubernetes pod, is feasible if you have the appropriate setup on the remote pod, including:
- The Prefect CLI installed
- Necessary credentials and configuration to communicate with the Prefect server or Prefect Cloud
- Access to the code you wish to deploy or the environment to run the deployment command
The specifics of executing commands from within a Kubernetes pod depend on how your Kubernetes cluster and pods are configured. Here are some general steps you would follow:
1. Access the pod where you want to run the command, using kubectl exec
, for example:
bash
kubectl exec -it <pod-name> -- /bin/bash
2. Once inside the pod, you can run the prefect deploy
command as you would on any local machine.
The documentation excerpts did not provide a specific example of running prefect deploy
from a remote pod in Kubernetes, but they mentioned that you can schedule flow runs via prefect deployment run
command and that deployments can be controlled by Kubernetes work pool configurations.
Here's a link that includes more details on work pool configurations, which are essential when working with Kubernetes:
- Prefect Deployments
For your specific use case, ensure that your Kubernetes pods are outfitted with all the necessary tools and permissions to execute the prefect deploy
command. Additionally, check the documentation or seek guidance on how to set up your Kubernetes environment correctly for Prefect deployments.