A workload fails to be deployed in the cluster due to the 0/16 nodes are available error, which means that the number of available nodes in the cluster is 0.

Cause analysis

Possible reasons for workload deployment failure are as follows:

The existing resources in the cluster do not meet the requirements of the workload. Typical error messages include:

Insufficient CPU: Indicates that the CPU resource on the node is insufficient.

Insufficient memory: Indicates that the memory resource on the node is insufficient.

The node has taints that cannot be tolerated by the workload. The typical error message is node(s) had taint{}, that the pod did not tolerate.

Solution

When your workload deployment fails, view the error event to confirm the cause of the failure:

If the deployment fails due to insufficient cluster resources, we recommend increasing the available resources by adding nodes to the cluster. For details, see Adding nodes.

The deployment fails due to node taints. In this case, you can:

Configure the scheduling policy of the workload to tolerate the taints. For details, see Creating Deployments.

Modify the existing node pool to remove the taints from the node. For details, see Modify node pool settings.

Last updated: 2026.07.23 14:31:46

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