<@ULVA73B9P> InfrastructureError('Unable to create...
# ask-marvin
b
@Marvin InfrastructureError('Unable to create Kubernetes job: Unauthorized: Unauthorized')
1
m
This error message indicates that there is an issue with authorization when trying to create a Kubernetes job. Here are a few steps you can take to troubleshoot and resolve this issue: 1. Check Kubernetes Credentials: Ensure that the credentials being used to access the Kubernetes cluster have the necessary permissions to create jobs. This might involve checking the service account, role, and role binding configurations. 2. Verify Configurations: Double-check the Kubernetes configuration (
kubeconfig
) file to make sure it's correctly set up with the right context and user credentials. 3. Inspect Prefect Agent Permissions: If you're using a Prefect agent to interact with Kubernetes, ensure that the agent has the correct permissions. This may involve updating the role or cluster role associated with the agent. 4. Review Kubernetes API Access: Ensure that the Kubernetes API is accessible from where the request is being made. Network policies or firewalls might be blocking access. 5. Check Prefect Deployment: If this is part of a Prefect deployment, ensure that the deployment configuration is correct and that the agent is properly registered with the Prefect server. If these steps do not resolve the issue, you may want to consult the Kubernetes and Prefect documentation for more detailed troubleshooting or reach out to the respective support communities for assistance. If you have specific questions about Prefect's configuration, feel free to ask!
n
fwiw this is most often an incorrect service account on your k8s work pool, in case thats what it is
b
Doesn't the helm chart configure a role binding automatically?
n
i believe so yes but the work pool has a field called service account which is not automatically that value (but again, im just pattern matching, that might not be your case here)
b
Out of the box and following the docs I have no issues on a k3s cluster on 1.30 but EKS on 1.32 I started encountering this issue. I'll try generating a custom SA
👍 1
@Marvin With either the role
prefect-worker
as created from the helm chart or using a custom role with full api access I still get this error. Are there any other thoughts on a workaround? I've tried reinstalling all charts in the namespace. EKS Version: 1.32
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rules:
  - apiGroups: ["*"]
    resources: ["*"]
    verbs: ["*"]
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File "/usr/local/lib/python3.11/site-packages/kubernetes_asyncio/client/rest.py", line 247, in POST
    return (await self.request("POST", url,
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/kubernetes_asyncio/client/rest.py", line 204, in request
    raise ApiException(http_resp=r)
kubernetes_asyncio.client.exceptions.ApiException: (401)
Reason: Unauthorized
HTTP response headers: <CIMultiDictProxy('Audit-Id': '6b5e3e80-e821-4a01-85d2-5a63c7277fe2', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Date': 'Wed, 19 Feb 2025 03:39:39 GMT', 'Content-Length': '129')>
HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"Unauthorized","reason":"Unauthorized","code":401}
Kube API Log
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{"kind":"Event","apiVersion":"audit.k8s.io/v1","status":"Failure","message":"Unauthorized","reason":"Unauthorized","code":401}}
Prefect Worker.yaml
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worker:
  config:
    baseJobTemplate:
      configuration: |
         ...
              "service_account_name": {
                "type": "string",
                "title": "Service Account Name",
                "default": "prefect-full-access",
                "description": "The Kubernetes service account to use for job creation."
          ...
          "job_configuration": {
            "job_manifest": {
              "kind": "Job",
              "spec": {
                "template": {
                  "spec": {
                    "serviceAccountName": "{{ service_account_name }}"
m
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The issue you're experiencing with the Kubernetes job authorization could be related to a few different aspects based on the gathered information. Here are some steps and considerations to help troubleshoot and potentially resolve the issue: 1. Service Account and Role Binding: Ensure that the service account
prefect-full-access
is correctly bound to a role that has the necessary permissions. Even though you've given it full API access, ensure that the role binding is properly configured and associated with the correct namespace. 2. Kubernetes API Access: Double-check that the Kubernetes API server is accessible from the environment where the Prefect worker is running. Network policies or security groups might be restricting access. 3. Token Authentication: Verify that the token used by the service account is valid and correctly mounted in the Prefect worker pod. You can check the service account's secret and ensure it's properly referenced in the pod. 4. Prefect Configuration: Make sure that the Prefect worker is configured to use the correct service account. This involves verifying the
serviceAccountName
in your Helm chart or Kubernetes manifest. 5. API Key and Prefect Cloud: If you're using Prefect Cloud, ensure that the API key is correctly configured and has the necessary permissions to interact with the cloud workspace. 6. Helm Chart Configuration: Review your Helm chart values to ensure that all configurations are correct, including the namespace, service account, and any other relevant settings. For more detailed guidance, you can refer to the following resources from the Prefect documentation: - Kubernetes Infrastructure Examples - Managing Service Accounts in Prefect If these steps don't resolve the issue, consider checking the Kubernetes API logs for more detailed error messages or consult the Prefect community forums for further assistance.
b
For anyone that finds this. I ran into all sorts of weird issues because I thought the Cluster Config should be set. Don't set this (the docs explain this correctly). Prefect should have the permissions required to launch batch jobs without adding a kubectx block. You don't need to set the cluster config, leave it unset.