@Marvin I'm running into an issue when running a flow on GKE (GCP Kubernetes), which looks to be a permissions issue. I'm using a custom service account and a

prefect-worker

workload in the

prefect

namespace. Any ideas on any solutions?

HTTP response headers: HTTPHeaderDict({'Audit-Id': '4aef1bac-3ddd-48bc-b6b6-ebad7ab73681', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'X-Content-Type-Options': 'nosniff', 'X-Kubernetes-Pf-Flowschema-Uid': '88858464-1407-40fe-a4f0-2b5d0ca28530', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'a5d8367f-efbd-4fd3-9d0e-7cfb054ddcf6', 'Date': 'Tue, 20 Feb 2024 20:50:00 GMT', 'Content-Length': '290'})
HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"jobs.batch is forbidden: User \"system:anonymous\" cannot create resource \"jobs\" in API group \"batch\" in the namespace \"prefect\"","reason":"Forbidden","details":{"group":"batch","kind":"jobs"},"code":403}

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I'm running into an issue when running a flow on GKE (GCP Kubernetes), which looks to be a permissions issue. I'm using a custom service account and a

prefect-worker

workload in the

prefect

namespace. Any ideas on any solutions?

```HTTP response headers: HTTPHeaderDict({'Audit-Id': '4aef1bac-3ddd-48bc-b6b6-ebad7ab73681', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'X-Content-Type-Options': 'nosniff', 'X-Kubernetes-Pf-Flowschema-Uid': '88858464-1407-40fe-a4f0-2b5d0ca28530', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'a5d8367f-efbd-4fd3-9d0e-7cfb054ddcf6', 'Date': 'Tue, 20 Feb 2024 205000 GMT', 'Content-Length': '290'}) HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"jobs.batch is forbidden: User \"system:anonymous\" cannot create resource \"jobs\" in API group \"batch\" in the namespace \"prefect\"","reason":"Forbidden","details":{"group":"batch","kind":"jobs"},"code":403

@Marvin I'm running into an issue running a flow on GKE (GCP Kubernetes), which looks to be a permissions issue. I'm using a custom service account and a

prefect-worker

workload in the

prefect

namespace. Any ideas?

HTTP response headers: HTTPHeaderDict({'Audit-Id': '4aef1bac-3ddd-48bc-b6b6-ebad7ab73681', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'X-Content-Type-Options': 'nosniff', 'X-Kubernetes-Pf-Flowschema-Uid': '88858464-1407-40fe-a4f0-2b5d0ca28530', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'a5d8367f-efbd-4fd3-9d0e-7cfb054ddcf6', 'Date': 'Tue, 20 Feb 2024 20:50:00 GMT', 'Content-Length': '290'})
HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"jobs.batch is forbidden: User \"system:anonymous\" cannot create resource \"jobs\" in API group \"batch\" in the namespace \"prefect\"","reason":"Forbidden","details":{"group":"batch","kind":"jobs"},"code":403}

It seems like you might be encountering a problem with proper permissions for your custom service account when trying to create resources in the Kubernetes namespace

prefect

. Your error message indicates that the user "system:anonymous" is not authorized to create "jobs" in the namespace "prefect" which suggests that the service account tied to the Kubernetes workload might not be properly authenticated or given the necessary permissions. Based on the Prefect documentation, you should ensure that the service account you are using has the necessary roles and permissions to create resources within the Kubernetes cluster. You can manage service account permissions through the IAM console and may need to specify the appropriate roles for your service account. Here are steps you can take to resolve this issue: 1. Make sure the service account used by your Kubernetes workload (

prefect-worker

) has the necessary roles and permissions. In particular, it needs permissions to create jobs in the

batch

API group within the

prefect

namespace. 2. If you haven't done so, create a role binding or cluster role binding in Kubernetes that binds the necessary roles to your service account. This is often done via

kubectl

or through a YAML file applied to the cluster. 3. Verify that the service account is properly linked to your workload. In your deployment manifest for the

prefect-worker

workload, check if the

serviceAccountName

is set to your custom service account. 4. Ensure that the service account's token is correctly mounted into your pod and that the Kubernetes API can be accessed. I didn't find any directly relevant GitHub issues left open regarding this specific error, which might mean that this issue has not been commonly encountered or reported in the context you're describing. It's also likely a matter of Kubernetes RBAC rather than a Prefect-specific problem. For more detailed guidance on Kubernetes deployment with Prefect, refer to the deployment guide in Prefect's Kubernetes documentation. If you continue to experience issues, you might want to consider reaching out for support through Prefect's Slack community or GitHub repository by filing an issue with all relevant details.

@Marvin I see that in the Prefect helm chart, it says that the service account will be created by default: https://github.com/PrefectHQ/prefect-helm/blob/main/charts/prefect-worker/values.yaml#L208C1-L214 I ran:

helm install prefect-worker prefect/prefect-worker \ --namespace=prefect \ -f prefect_helm_values.yaml

I see the worker in the GCP dashboard, but still running into the issue above

The error you're encountering might relate to permissions set up when installing the Prefect helm chart for the

prefect-worker

. According to the Prefect GitHub issues, there is a known scenario where jobs are being attempted to be created in the wrong namespace due to default behaviors. In the linked issue, users describe a similar problem where the worker, which is installed in a non-default namespace (

prefect

in your case), tries to create Jobs in the

default

namespace. The solution may involve adjusting the namespace setting in the worker creation process or adding a ClusterRole/ClusterRoleBinding to allow the worker to deploy into any namespace. Here's what you can potentially do: 1. Check if the namespace is set correctly: When installing the Prefect worker from the helm chart, a namespace-scoped Role/RoleBinding is created for the worker to run Kubernetes Jobs. Make sure that the Prefect helm chart is configured to use the same namespace that your worker is intending to run in (i.e.,

prefect

). 2. Role and RoleBinding: Verify that the Role and RoleBinding are correctly configured for the service account to create jobs in the

prefect

namespace. You can do this with kubectl commands like

kubectl get role

and

kubectl get rolebinding -n prefect

to see if the permissions are correctly set up. 3. Check Service Account References: Ensure that the

prefect-worker

is indeed referencing the correct service account in the Helm values and that the service account has been created successfully. 4. Consider Helm Version Compatibility: Issues may arise from using different versions of Helm or Prefect. Make sure both are compatible with each other. 5. Check Helm Chart Values: Double-check the values in your

prefect_helm_values.yaml

file to ensure they reflect the proper settings you want for the namespace and service account permissions. You might need to customize the defaults provided by the helm chart. If these do not resolve the issue, you may need to investigate further or reach out to the Prefect community for more targeted support, as the problem might also be related to specifics of your Kubernetes cluster configuration in Google Cloud Platform, which might be causing permission issues even if the Prefect helm chart is configured correctly. For resolving the specific issue of permissions to create jobs within the

prefect

namespace, you might need to edit your Role or RoleBinding, or even use a ClusterRole and ClusterRoleBinding to grant wider permissions if appropriate for your use case. For more details, the following resources could be useful: - The Prefect Kubernetes Deployment guide - Make default namespace in Kubernetes worker optional issue - Add detail to k8s agent logs when pod never starts issue - Revisit decision to use kube-system UID as cluster identity issue

@Marvin I re-installed now on the default namespace, but still running into the same issue:

HTTP response headers: HTTPHeaderDict({'Audit-Id': '195f3cb0-a790-4303-a2b2-c941a96c36b3', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'X-Content-Type-Options': 'nosniff', 'X-Kubernetes-Pf-Flowschema-Uid': '88858464-1407-40fe-a4f0-2b5d0ca28530', 'X-Kubernetes-Pf-Prioritylevel-Uid': 'a5d8367f-efbd-4fd3-9d0e-7cfb054ddcf6', 'Date': 'Tue, 20 Feb 2024 22:55:23 GMT', 'Content-Length': '290'})
HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"jobs.batch is forbidden: User \"system:anonymous\" cannot create resource \"jobs\" in API group \"batch\" in the namespace \"default\"","reason":"Forbidden","details":{"group":"batch","kind":"jobs"},"code":403}'

The error message you're encountering, where the response indicates "User 'system:anonymous' cannot create resource 'jobs'" in either the

prefect

or

default

namespace, suggests an issue with Kubernetes Service Account (SA) authentication. Since Kubernetes uses SAs to connect to the API and perform actions, if the API server is not provided with any authentication token, it defaults to the

system:anonymous

user. This is why you are seeing the errors as coming from

system:anonymous

, which naturally has no permissions. When deploying with Helm, the correct SA should be automatically created and its credentials mounted into the pod. Since you are encountering issues with permissions, it's likely that either the SA wasn't created properly or the pod isn't using it as expected. Here are potential steps to resolve this: 1. Check Service Account Creation: Verify that the SA was created properly by looking at the Helm chart's output or by using

kubectl get sa

in the relevant namespace. 2. Inspect the Pod Spec: Look at the spec for the deployed pods to ensure they have the

serviceAccountName

field set to the expected SA. 3. Examine Service Account Permissions: If the SA exists, check the permissions bound to it (Roles and RoleBindings, or ClusterRoles and ClusterRoleBindings if necessary) to ensure they permit creating Jobs. 4. Review the Helm Values: In your Helm values file, check that all configurations related to RBAC and service accounts are set correctly and in accordance with the Kubernetes cluster's configuration. 5. Review Authentication Configuration for the Cluster: Make sure that the Kubernetes cluster's authentication mechanisms are correctly configured to accept the SA tokens. 6. Check for Admission Controllers: Confirm that there aren't Kubernetes Admission Controllers interfering with the SA token being passed to the pod. As no relevant GitHub issues were found, it indicates this might not be a widespread problem with Prefect or Kubernetes but rather a specific issue with your cluster or deployment setup. If these steps do not help in resolving the issue, you may need to consult the Kubernetes cluster logs for more detailed errors or reach out to your cluster administrator. For further technical assistance, it might be beneficial to share your findings and seek advice in the Prefect community Slack channel. Alternatively, consider creating an issue on Prefect's GitHub repository with detailed information regarding your deployment, SA configuration, and the encountered errors.