@Marvin how can I deploy prefect to my on-prem server? I already have ray so I want to be able to use the

prefect-ray

integration.

Deploying Prefect to an on-prem server and utilizing the

prefect-ray

integration can be accomplished with the following steps: 1. Installation and Setup: - Ensure you have Prefect installed on your server. You can install Prefect using pip:

bash
     pip install prefect

- Install the

prefect-ray

integration to enable Ray for parallel task execution:

bash
     pip install prefect-ray

2. Configure Prefect with Ray: - The

prefect-ray

integration allows you to run tasks in parallel using Ray. You can use the

RayTaskRunner

to submit tasks to Ray. If you already have a Ray instance running, you can provide the connection URL using the

address

argument. - Example usage of `RayTaskRunner`:

python
     from prefect import flow
     from prefect_ray.task_runners import RayTaskRunner

     @flow(task_runner=RayTaskRunner(address="ray://<your-ray-instance-address>"))
     def my_flow():
         # Your task logic here
         pass

3. Running Prefect on-prem: - You can run your Prefect flows on your on-prem server by executing them directly or scheduling them using Prefect's orchestration features. For further details on deploying Prefect and using Ray, you can refer to the following documentation: - Prefect Deployment Guide - Prefect-Ray Integration This should help you integrate Prefect with your existing Ray setup on an on-prem server. Let me know if you need further assistance.

@Marvin You misunderstand. I want to install prefect on my on-prem server that already has ray. How do I do this, for example, with helm or kubernetes?

To deploy Prefect on your on-prem Kubernetes cluster using Helm, follow these steps: 1. Add the Prefect Helm Repository: First, add the Prefect Helm repository to your Helm client:

bash
   helm repo add prefect <https://prefecthq.github.io/prefect-helm>
   helm repo update

2. Create a Kubernetes Namespace: Create a new namespace in your Kubernetes cluster where you will deploy Prefect:

bash
   kubectl create namespace prefect

3. Create a Kubernetes Secret for the Prefect API Key: If you're using Prefect Cloud, you'll need to create a secret for your Prefect API key:

bash
   kubectl create secret generic prefect-api-key \
   --namespace=prefect --from-literal=key=your-prefect-cloud-api-key

4. Configure Helm Chart Values: Create a

values.yaml

file to customize the Prefect worker configuration. This file should include details like your account ID, workspace ID, and any other specific configurations you need. 5. Install Prefect Worker using Helm: Deploy the Prefect worker using the Helm chart:

bash
   helm install prefect-worker prefect/prefect-worker \
     --namespace prefect \
     -f values.yaml

For more detailed instructions, you can refer to the Prefect Kubernetes Deployment Guide. This setup will allow you to run Prefect on your on-prem server with Kubernetes, integrating seamlessly with your existing Ray setup. If you have any specific configurations or further questions, feel free to ask.