@Marvin Running prefect on a kubernetes cluster I get this error in the kubernetes job when starting a run of a deployment: prefect.exceptions.PrefectHTTPStatusError: Client error '403 Forbidden' for url 'http://prefect-server.dev.svc.cluster.local:4200/api/flow_runs/9633e270-1c72-44e3-969e-19e2ec7b7d24' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403 But calling this URL from a manual started job works fine. What could be the issue here?

It looks like you are encountering a permission issue when Prefect tries to communicate with the Prefect server within your Kubernetes cluster. The

403 Forbidden

error typically suggests that the requested resource is valid, but the server is refusing action due to permissions or authentication issues. Here are a few potential causes and steps you might take to resolve the issue: 1. Authentication Tokens: When running Prefect on Kubernetes, it's important to ensure that the authentication tokens required by Prefect are properly configured and accessible. If the manual job works, it might have the correct authentication settings, while the automated job doesn't. 2. Network Policies: Check if there are any network policies in Kubernetes that might be blocking communication between the Prefect job and the server. 3. Service Account and Role Bindings: Ensure that the Kubernetes job has the necessary permissions. Compare the service account roles and permissions between the manual job and the automated job. You may need to grant additional permissions to the service account that the automated job is using. 4. Environment Variables: Environment variables could differ between the manual and automated jobs. Double-check that all necessary environment variables (such as API keys or tokens) are properly set in the Kubernetes job configuration. 5. Prefect Configuration Differences: If you are using different configurations for the manual and automated jobs, ensure that both are using the same Prefect configuration that specifies the correct server URL and authentication settings. To provide more precise guidance, I will search the Prefect documentation and GitHub issues to see if there are any related known issues or further insights. Let me perform that search for more comprehensive information. Based on the findings from GitHub issues related to Prefect, here are a few more insights that might help you resolve the

403 Forbidden

error you're encountering in your Kubernetes job: 1. Namespace Configuration: There are known issues related to the default namespace settings for Prefect workers. If the Prefect worker's namespace is not correctly configured or if it defaults to the wrong namespace, it might lead to permission errors like

403 Forbidden

. Make sure the worker is running in the intended namespace and that your settings reflect this. For example, the worker and the jobs it creates should be in the same namespace unless you explicitly configure cluster-wide permissions. GitHub Source. 2. Role and RoleBinding Adjustments: The

403

error could result from insufficient permissions due to missing Role or RoleBinding configurations. Ensure that the service account used by Prefect has the necessary permissions to create resources within the specified namespace. Adjust your Kubernetes Role or RoleBinding to ensure it has the required permissions for the intended namespace. 3. Cluster Identity Configuration: Another potential issue might arise from how cluster identity is managed, especially if

PREFECT_KUBERNETES_CLUSTER_UID

is expected but not set correctly. Consider configuring a cluster-unique setting, like a UUID stored in a ConfigMap, to ensure smooth operation and proper permissions. This might prevent permission issues during operations that require identifying the cluster. GitHub Source. Try implementing or verifying these configurations in your Kubernetes setup to resolve the error. If you continue to face issues, checking the detailed error message logs might provide further clues about specific permission denials or namespace mismatches.