If a workload is abnormal, you can check the pod events first to locate the fault and then rectify the fault.

To locate the fault of an abnormal workload, take the following steps:
Log in to the CCE console or use kubectl to obtain the pod IP address. Then, log in to the node or the pod and run curl or use other methods to manually call APIs and check whether the expected result is returned.
If {Container IP address}:{Port number} is not accessible, log in to the service container and attempt to access 127.0.0.1:{Port number}.
If the workload is accessible within the cluster but the expected results are not shown, check the workload configurations, such as verifying if the image tag and environment variables are correctly configured.
Status | Description | Reference |
|---|---|---|
Pending | The pod scheduling failed. | |
Pending | A storage volume fails to be mounted to a pod. | What Should I Do If a Storage Volume Can't Be Mounted or the Mounting Times Out? |
FailedPullImage ImagePullBackOff | The image pull failed. The image failed to be pulled again. | |
CreateContainerError CrashLoopBackOff | The container startup failed. The container failed to restart. | |
Evicted | A pod is in the Evicted state, and the pod keeps being evicted. | |
Creating | A pod is in the Creating state. | What Should I Do If a Workload Remains in the Creating State? |
Terminating | A pod is in the Terminating state. | |
Stopped | A pod is in the Stopped state. | What Should I Do If a Workload Is Stopped Caused by Pod Deletion? |
Method 1
On the CCE console, click the workload name to go to the workload details page, locate the row containing the abnormal pod, and choose More > View Events in the Operation column.
Method 2
Use the kubectl command:
kubectl describe pod {pod-name}
Information similar to the following is displayed:
...Events:Type Reason Age From Message---- ------ ---- ---- -------Warning FailedScheduling 49s default-scheduler 0/2 nodes are available: 2 Insufficient cpu.Warning FailedScheduling 49s default-scheduler 0/2 nodes are available: 2 Insufficient cpu.