@Marvin I don’t see my deployments or the flows on the dashboard, but I can see them when I go to the cli and run

prefect deployment ls

what could be the problem?

There are a few potential reasons your deployments or flows aren't showing up in the Prefect dashboard even if they appear with the CLI command

prefect deployment ls

. 1. Workspace Misconfiguration: Ensure you're connected to the correct Prefect workspace. Use the following commands to list and set the active workspace:

prefect cloud workspace ls
    prefect cloud workspace set -i [workspace-id]

Reference: https://docs.prefect.io/latest/cloud/connecting/ 2. API URL Configuration: Double-check that your API URL is correctly set to use Prefect Cloud. Make sure

PREFECT_API_URL

is configured correctly in your environment. You can verify your current configuration using:

prefect config view

3. Work Pools and Queues: It's possible that work pools or queues are not properly configured for your agents and deployments. Prefect has moved from legacy work queues to using work pools explicitly. Check the documentation to ensure your agents and deployments are correctly set up.

<https://docs.prefect.io/latest/concepts/work-pools/>

If you're deploying to Kubernetes and seeing connection issues such as "Liveness probe failed," you might need to ensure that your agents are reachable and correctly configured to use a valid IP address. This process may require adjusting Kubernetes settings to allow proper network communication within your cluster. Here's a helpful GitHub Issue discussion that might be related: PrefectHQ/prefect issue #3882. If these steps don’t resolve the issue, please provide more details about your environment and configuration.

@Marvin I don’t see my deployments or the flows on the dashboard, but I can see them when I go to the cli and run

prefect deployment ls

what could be the problem? I’m running on my local server not prefect cloud

Since you're running on a local server, there are a few potential issues that might cause deployments and flows not to appear on the dashboard: 1. Prefect Server Not Running: Ensure that your Prefect server is up and running. You can start the server using:

prefect server start

This command runs both the webserver and the UI on your local machine. Reference: https://docs.prefect.io/latest/tutorial/deployments/ 2. Work Pools and Workers Configuration: Verify that your deployments are correctly configured with work pools and that the workers are polling them appropriately. If you haven't set these up correctly, your deployments might not show up in the dashboard even though they are listed in the CLI. 3. Network Issues: Verify that there are no network issues preventing your browser from connecting to the local Prefect server. Ensure that the correct ports are open and accessible. If these steps don’t resolve the issue, please provide more details about your setup and configuration.

@Marvin doesn’t the fact that I can see the deployments through the cli mean the prefect UI is the problem?

Yes, if you can see the deployments through the CLI but not in the UI, it generally indicates an issue with the Prefect UI or its connection to the backend. Here are a few steps to troubleshoot the issue further: 1. Restart the Prefect Server: Sometimes, simply restarting the Prefect server can resolve UI-related issues.

prefect server stop
    prefect server start

2. Check Server Logs: Look at the logs for the Prefect server to see if there are any errors or warnings that might indicate what is going wrong.

docker-compose logs

or if you're running Prefect without Docker:

prefect server logs

3. UI Refresh: Ensure that your browser has a refreshed and un-cached version of the UI. Try clearing your browser cache or using an incognito window. 4. Version Compatibility: Ensure that your Prefect version is up-to-date and compatible with the UI. You can check your Prefect version using:

prefect version

5. Database Issues: There might be a problem with the database that's causing discrepancies between the CLI and the UI. Ensure that the database is properly configured and consider restarting it as well. 6. API Endpoint Accessibility: Verify that the API endpoints used by the UI are accessible. You can use tools like

curl

or Postman to check if you can reach the endpoints that the UI utilizes. If none of these steps work, please provide more details on the server logs or any other errors you might be encountering.

@Marvin if I have three k8 manifests, two for repositories that have two separate sets of prefect flows and one for prefect server, how many prefect backends am I dealing with?

If you have three Kubernetes manifests: 1. Two for repositories that contain separate sets of Prefect flows. 2. One for the Prefect server. You are dealing with one Prefect backend. Here's why: - Prefect backend refers to the server instance that handles orchestration, scheduling, and governance of flow runs. - You can have multiple deployments and flows registered to a single Prefect server (backend). In your case: - The two repositories with separate sets of flows will both interact with the single Prefect server specified in your third manifest. - All flow runs from both repositories will be orchestrated and monitored by this single Prefect server. Thus, regardless of how many repositories you have deploying flows, as long as they point to the same Prefect server, you are dealing with one backend. The key point is to ensure that both sets of flows are configured to communicate with the same Prefect server. If you're running the server locally or within your Kubernetes cluster, make sure the URLs and API settings in your flow configurations point to this server.

@Marvin and would I need two prefect agents for this or just one is enough?

You will need at least one Prefect worker (note: agents are deprecated) for your environment to execute the flows. However, depending on your workload and requirements, you might consider having multiple workers: 1. Single Worker: - A single worker can handle flows from both repositories as long as it is configured to poll the appropriate work queues or work pools where your flows are registered. - This is the simplest setup and can be sufficient for small to medium workloads. 2. Multiple Workers: - If you have distinct requirements or different resource needs for the two sets of flows, you could deploy multiple workers. - For example, you might have one worker handle one set of flows with specific resource requirements and another worker for a different set of flows to ensure better resource isolation and management. ### Setting Up a Worker 1. Start the Prefect server (if it's not already running):

prefect server start

2. Create a worker that polls the appropriate queue:

bash
    prefect worker start --pool <your-pool-name>

Note: Ensure that your deployments are configured to use the same work pool. ### Example Commands: - Starting a worker for "pool-1":

bash
    prefect worker start --pool pool-1

- Starting another worker for "pool-2":

bash
    prefect worker start --pool pool-2

In summary, you can use a single worker to handle all flows, but having multiple workers can provide you with more flexibility and better resource management.

my prefect does not have

server

command only

orion

but

orion

does not have

stop

command how do I restart in that case

To restart your Prefect Orion server, you can follow these steps: 1. Stopping the Server: Since Orion doesn't have a

stop

command, you generally stop the server using your terminal session where it is running by simply interrupting the process (e.g., using

Ctrl + C

). 2. Starting the Server: To start the server, use the

prefect orion start

command in your terminal:

prefect orion start

If you're running Prefect Orion inside a container or as a service, you'll need to manage the lifecycle through your container orchestration tool (like Docker) or service management tools. Here’s a quick example for Docker: Stopping a Docker container:

bash
docker stop <container_id>

Starting a Docker container:

bash
docker start <container_id>

For Kubernetes, you might need to restart the pod: Restarting a Kubernetes Pod:

bash
kubectl rollout restart deployment <deployment-name>

These steps should help you restart your Prefect Orion server effectively.