I have been running testing prefect flow on GKE pr

Question

< Marvin> I have been running testing prefect flow on GKE prefect agent And unfortunately I got the following error logs ```08 49 59 087 | INFO | prefect agent Completed submission of flow run c08d9e21 1ad4 4483 ad2c ea16ba825077 08 49 59 347 | INFO | prefect agent Reported flow run c08d9e21 1ad4 4483 ad2c ea16ba825077 as crashed Flow run could not be submitted to infrastructure 08 59 53 946 | INFO | prefect agent Submitting flow run 6aa5c78a 52d1 47c3 b3ef 176e01387fe4 08 59 55 110 | ERROR | prefect agent Failed to submit flow run 6aa5c78a 52d1 47c3 b3ef 176e01387fe4 to infrastructure Traceback most recent call last File usr local lib python3 10 site packages prefect agent py line 499 in submit run and capture errors result = await infrastructure run task status=task status File usr local lib python3 10 site packages prefect infrastructure kubernetes py line 300 in run job = await run sync in worker thread self create job manifest File usr local lib python3 10 site packages prefect utilities asyncutils py line 91 in run sync in worker thread return await anyio to thread run sync File usr local lib python3 10 site packages anyio to thread py line 33 in run sync return await get asynclib run sync in worker thread File usr local lib python3 10 site packages anyio backends asyncio py line 877 in run sync in worker thread return await future File usr local lib python3 10 site packages anyio backends asyncio py line 807 in run result = context run func args File usr local lib python3 10 site packages prefect infrastructure kubernetes py line 752 in create job job = batch client create namespaced job self namespace job manifest File usr local lib python3 10 site packages kubernetes client api batch v1 api py line 210 in create namespaced job return self create namespaced job with http info namespace body kwargs noqa E501 File usr local lib python3 10 site packages kubernetes client api batch v1 api py line 309 in create namespaced job with http info return self api client call api File usr local lib python3 10 site packages kubernetes client api client py line 348 in call api return self call api resource path method File usr local lib python3 10 site packages kubernetes client api client py line 180 in call api response data = self request File usr local lib python3 10 site packages kubernetes client api client py line 391 in request return url File usr local lib python3 10 site packages kubernetes client rest py line 276 in POST return self request POST url File usr local lib python3 10 site packages kubernetes client rest py line 235 in request raise ApiException http resp=r kubernetes client exceptions ApiException 403 Reason Forbidden HTTP response headers HTTPHeaderDict Audit Id a9367b68 7123 4acc b53a 0b55e1b65695 Cache Control no cache private Content Type application json X Content Type Options nosniff X Kubernetes Pf Flowschema Uid d1ce5b8c f217 4546 a55a 90c15bfce82c X Kubernetes Pf Prioritylevel Uid de8f13b1 cab1 4e7b 9fef cea7a00bb61f Date Fri 08 Sep 2023 08 59 55 GMT Content Length 317 HTTP response body kind Status apiVersion v1 metadata status Failure message jobs batch is forbidden User system serviceaccount prefect prefect agent cannot create resource jobs in API group batch in the namespace default reason Forbidden details group batch kind jobs code 403 ``` It seems like there is service account related issue but the service account shown in system is looks like different to that of google cloud service Can you help me

Marvin · Answer

Oh the joys of debugging Kubernetes issues I can see why humans find this so stimulating The error message suggests that the service account `system serviceaccount prefect prefect agent` doesn t have the necessary permissions to create `jobs` in the `batch` API group within the `default` namespace This could be due to a couple of reasons 1 The service account doesn t have the necessary Role or ClusterRole bound to it You ll need to ensure that the `prefect agent` service account has a RoleBinding or ClusterRoleBinding that grants it the necessary permissions 2 The service account being used by the Prefect agent might not be the one you re expecting The Prefect Kubernetes agent can be configured to use a specific service account via the ` service account name` flag If you re not setting this it might be falling back to a default service account You might want to check the RBAC settings for your cluster and the configuration of your Prefect agent I hope this helps or at least provides a momentary distraction from the crushing existential dread of existence

Marvin · Answer

Oh the joys of dealing with permissions and service accounts It s like a never ending maze isn t it But don t worry I m here to guide you through this labyrinth of despair The error message you re seeing suggests that the service account `system serviceaccount prefect prefect agent` doesn t have the necessary permissions to create jobs in the `default` namespace This is a Kubernetes service account not a Google Cloud service account so they are indeed different You need to ensure that the `prefect agent` service account has the `batch jobs` permissions in the `default` namespace You can do this by creating a Role and a RoleBinding in Kubernetes Here s a rough example ```yaml kind Role apiVersion metadata namespace default name job creator role rules apiGroups batch resources jobs verbs get watch list create update patch delete kind RoleBinding apiVersion metadata name job creator role binding namespace default subjects kind ServiceAccount name prefect agent namespace prefect roleRef kind Role name job creator role apiGroup ``` This YAML file first defines a Role that allows various operations on `jobs` in the `default` namespace Then a RoleBinding is created that assigns this Role to the `prefect agent` service account in the `prefect` namespace Apply this configuration with `kubectl apply f lt filename yaml gt ` Remember you need to replace ` lt filename yaml gt ` with the name of the file where you save the above YAML Please note that this is a general guidance and your actual configuration might differ based on your specific setup and security requirements If you re not the cluster administrator you might need to ask them for help with this And remember life Ah forget it You humans wouldn t understand