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PR | Jont828: Add clusterv1.ReadyCondition to AzureMachinePool and AzureMachinePoolMachine |
Result | ABORTED |
Tests | 0 failed / 0 succeeded |
Started | |
Elapsed | 1h2m |
Revision | 342b5b123c33ad84fcb06cb0ccc81ebbdb415dd9 |
Refs |
2303 |
capz-e2e Conformance Tests conformance-tests
capz-e2e Running the Cluster API E2E tests API Version Upgrade upgrade from v1alpha4 to v1beta1, and scale workload clusters created in v1alpha4 Should create a management cluster and then upgrade all the providers
capz-e2e Running the Cluster API E2E tests Running KCP upgrade in a HA cluster [K8s-Upgrade] Should create and upgrade a workload cluster and run kubetest
capz-e2e Running the Cluster API E2E tests Running KCP upgrade in a HA cluster using scale in rollout [K8s-Upgrade] Should create and upgrade a workload cluster and run kubetest
capz-e2e Running the Cluster API E2E tests Running the MachineDeployment rollout spec Should successfully upgrade Machines upon changes in relevant MachineDeployment fields
capz-e2e Running the Cluster API E2E tests Running the quick-start spec Should create a workload cluster
capz-e2e Running the Cluster API E2E tests Running the self-hosted spec Should pivot the bootstrap cluster to a self-hosted cluster
capz-e2e Running the Cluster API E2E tests Running the workload cluster upgrade spec [K8s-Upgrade] Should create and upgrade a workload cluster and run kubetest
capz-e2e Running the Cluster API E2E tests Should adopt up-to-date control plane Machines without modification Should adopt up-to-date control plane Machines without modification
capz-e2e Running the Cluster API E2E tests Should successfully exercise machine pools Should successfully create a cluster with machine pool machines
capz-e2e Running the Cluster API E2E tests Should successfully remediate unhealthy machines with MachineHealthCheck Should successfully trigger KCP remediation
capz-e2e Running the Cluster API E2E tests Should successfully remediate unhealthy machines with MachineHealthCheck Should successfully trigger machine deployment remediation
capz-e2e Running the Cluster API E2E tests Should successfully scale out and scale in a MachineDeployment Should successfully scale a MachineDeployment up and down upon changes to the MachineDeployment replica count
capz-e2e Running the Cluster API E2E tests Should successfully set and use node drain timeout A node should be forcefully removed if it cannot be drained in time
capz-e2e Workload cluster creation Creating a dual-stack cluster [OPTIONAL] With dual-stack worker node
capz-e2e Workload cluster creation Creating clusters using clusterclass [OPTIONAL] with a single control plane node, one linux worker node, and one windows worker node
... skipping 497 lines ... ✓ Installing CNI 🔌 • Installing StorageClass 💾 ... ✓ Installing StorageClass 💾 INFO: The kubeconfig file for the kind cluster is /tmp/e2e-kind2781911139 INFO: Loading image: "capzci.azurecr.io/cluster-api-azure-controller-amd64:20220624233802" INFO: Loading image: "registry.k8s.io/cluster-api/cluster-api-controller:v1.1.4" INFO: [WARNING] Unable to load image "registry.k8s.io/cluster-api/cluster-api-controller:v1.1.4" into the kind cluster "capz-e2e": error saving image "registry.k8s.io/cluster-api/cluster-api-controller:v1.1.4" to "/tmp/image-tar2418381462/image.tar": unable to read image data: Error response from daemon: reference does not exist INFO: Loading image: "registry.k8s.io/cluster-api/kubeadm-bootstrap-controller:v1.1.4" INFO: [WARNING] Unable to load image "registry.k8s.io/cluster-api/kubeadm-bootstrap-controller:v1.1.4" into the kind cluster "capz-e2e": error saving image "registry.k8s.io/cluster-api/kubeadm-bootstrap-controller:v1.1.4" to "/tmp/image-tar1964624846/image.tar": unable to read image data: Error response from daemon: reference does not exist INFO: Loading image: "registry.k8s.io/cluster-api/kubeadm-control-plane-controller:v1.1.4" INFO: [WARNING] Unable to load image "registry.k8s.io/cluster-api/kubeadm-control-plane-controller:v1.1.4" into the kind cluster "capz-e2e": error saving image "registry.k8s.io/cluster-api/kubeadm-control-plane-controller:v1.1.4" to "/tmp/image-tar1812419236/image.tar": unable to read image data: Error response from daemon: reference does not exist [1mSTEP[0m: Initializing the bootstrap cluster INFO: clusterctl init --core cluster-api --bootstrap kubeadm --control-plane kubeadm --infrastructure azure INFO: Waiting for provider controllers to be running [1mSTEP[0m: Waiting for deployment capi-kubeadm-bootstrap-system/capi-kubeadm-bootstrap-controller-manager to be available INFO: Creating log watcher for controller capi-kubeadm-bootstrap-system/capi-kubeadm-bootstrap-controller-manager, pod capi-kubeadm-bootstrap-controller-manager-8447dbccc5-pd5jq, container manager [1mSTEP[0m: Waiting for deployment capi-kubeadm-control-plane-system/capi-kubeadm-control-plane-controller-manager to be available ... skipping 12 lines ... [36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m[36mS[0m [90m------------------------------[0m [1mSTEP[0m: Finding image skus and versions for offer cncf-upstream/capi in canadacentral [1mSTEP[0m: Finding image skus and versions for offer cncf-upstream/capi-windows in canadacentral {"component":"entrypoint","file":"k8s.io/test-infra/prow/entrypoint/run.go:169","func":"k8s.io/test-infra/prow/entrypoint.Options.ExecuteProcess","level":"error","msg":"Entrypoint received interrupt: terminated","severity":"error","time":"2022-06-25T00:25:02Z"} ++ early_exit_handler ++ '[' -n 162 ']' ++ kill -TERM 162 ++ cleanup_dind ++ [[ true == \t\r\u\e ]] ++ echo 'Cleaning up after docker' ... skipping 5 lines ...