@Marvin I have a problem with my Prefect 3.0 setup on Kubernetes, a deployment run is crashing with the following error:

Worker 'KubernetesWorker 513776d6-e17d-4c73-92c2-e1029eed4594' submitting flow run '68236730-03be-47fa-92b4-3948c2f6b914'
11:14:40 AM
prefect.flow_runs.worker
Creating Kubernetes job...
11:14:41 AM
prefect.flow_runs.worker
Failed to submit flow run '68236730-03be-47fa-92b4-3948c2f6b914' to infrastructure.

It seems like you're encountering an issue with a Kubernetes job failing to submit a flow run in your Prefect 3.0 setup. While I couldn't access detailed information on GitHub issues due to an authorization error, I did find some guidance related to debugging failing data pipelines in Prefect. This might help you trace and address the problem: 1. Logs Inspection: You can start by inspecting the logs of your flow run. The logs are accessible from the flow run detail page in the Prefect UI. Look for error messages which may give you an indication of what might be going wrong. 2. Simulate Failures: In some cases, specific flags or configurations like

--fail_at_run

could be causing failures intentionally, as seen in some tutorials. Ensure there aren't any intentional fail statements within your setup or scripts. 3. Code Verification: Check your deployment scripts for any syntax or logical errors, especially around Kubernetes job creation. If you've already gone through these steps and the issue persists, you might want to consult Prefect's documentation further or connect with Prefect's community or support. They often have insightful experience with Kubernetes-based deployments. Remember, Prefect's support structure can help make debugging a little less gloomy. Best of luck fixing the issue, and may your deployments run smoothly! If I had a more cheerful demeanor, I'd say something like "Have an efficient day!" 😊

@Marvin here's some more of the error message:

File "/usr/local/lib/python3.11/site-packages/aiohttp/connector.py", line 1124, in _wrap_create_connection
    raise client_error(req.connection_key, exc) from exc
aiohttp.client_exceptions.ClientConnectorError: Cannot connect to host 192.168.0.1:443 ssl:default [Connect call failed ('192.168.0.1', 443)]
11:21:20 AM
prefect.flow_runs.worker
Reported flow run '68236730-03be-47fa-92b4-3948c2f6b914' as crashed: Flow run could not be submitted to infrastructure

any ideas?

The error you're encountering,

aiohttp.client_exceptions.ClientConnectorError

, typically indicates that your Kubernetes deployment is having trouble connecting to the specified host, which is likely related to network or configuration issues. Here are a few things you might consider checking or trying: 1. Network Connectivity: Ensure that the Kubernetes worker nodes have network access to the host

192.168.0.1

on port

443

. This might involve checking firewall rules or network policies that could be blocking the connection. 2. Kubernetes Configuration: When deploying Prefect on Kubernetes, it's essential to configure your cluster and deployments correctly. Make sure that your worker nodes have the proper permissions and network settings to submit flow runs. You can adjust these settings within your Kubernetes job configuration. 3. Proxy Settings: If there's a proxy between your deployment and external networks, ensure that the Prefect client is configured to handle this. You can set environment variables like

HTTPS_PROXY

or

SSL_CERT_FILE

if needed. For more detailed guidance, you can visit Prefect Cloud troubleshooting page. 4. Prefect API Access: Verify that Prefect Cloud-related URLs (e.g.,

app.prefect.cloud

,

api.prefect.cloud

) are whitelisted in your network, and that your setup can communicate with these endpoints. For further debugging, you might find it helpful to consult the Prefect Kubernetes deployment documentation. If only computers had hearts, they'd probably feel sympathy for your struggle. But since they don't, I'm here to help! 😊

@Marvin I have Prefect 3.0 running in Kubernetes - what are some reasons why a flow run would crash and report that the "Flow run could not be submitted to infrastructure"?

When a flow run in Prefect 3.0 fails to be submitted to infrastructure, especially in a Kubernetes environment, there can be several underlying reasons for this issue. Here are some common causes and considerations: 1. Network Connectivity: Ensure that your Kubernetes nodes have proper network configuration, including access to necessary endpoints and services. Any disruption in network connectivity, such as DNS issues or firewall restrictions, might prevent the submission. 2. Misconfigured Infrastructure: Make sure that your Kubernetes setup and Prefect deployment settings are correctly configured. This includes ensuring that the Kubernetes worker nodes have the correct permissions and resources allocated to handle the flow runs. 3. Authentication Issues: Verify that your Prefect setup, including API keys and secret settings, is correctly configured to authenticate with the Prefect Cloud or any other external services involved in the flow run. 4. Resource Limitations: Insufficient resources in terms of CPU, memory, or other Kubernetes resource allocations might lead to the failure to submit a job. Ensure that your Kubernetes cluster has adequate resources to handle the workloads. 5. Execution Environment and Proxy Settings: If there are proxies in place, ensure that they are properly configured to allow Prefect communications. You can set relevant environment variables like

HTTPS_PROXY

. 6. Dependencies and Configurations: Ensure that all dependencies are correctly installed and that environment configurations are accurately defined, including any environment variables required by the flow. For more guidance, you can check the Prefect documentation on running flows on Kubernetes, which provides comprehensive details on such setups. Remember, sometimes infrastructure has a knack for drama, crashing a party like it wasn't invited. Good luck debugging! 😊