Quota Debug

If this command returns results (Queue resources listed), the cluster uses Volcano — use volcano-queue-diagnose. If it returns nothing or an error, Volcano is not installed — continue with this skill.

Diagnostic Flow

1. Identify the creation failure

If the user reports a Deployment not progressing or pods not appearing, first find the controller that owns the pods:

kubectl get rs -n <ns> --sort-by='.metadata.creationTimestamp' | grep <deployment-name>

Then check the ReplicaSet events for creation failures:

kubectl describe rs <new-rs> -n <ns>

Look for events with reason FailedCreate. The event message reveals whether it is a ResourceQuota or LimitRange rejection.

If the user already has a specific error message, skip to step 2.

2. Match the rejection type

exceeded quota — ResourceQuota exhausted

The namespace has a ResourceQuota and creating the pod would exceed the allowed limits.

Check current quota usage:

kubectl get resourcequota -n <ns>

For detailed usage breakdown:

kubectl describe resourcequota -n <ns>

Compare the Used vs Hard columns. Common quota dimensions:

• requests.cpu / requests.memory — total CPU/memory requests across all pods in the namespace
• limits.cpu / limits.memory — total CPU/memory limits
• pods — maximum number of pods allowed in the namespace
• count/deployments.apps, count/services — object count limits
• requests.nvidia.com/gpu — total GPU requests (common in GPU-scheduled clusters)
• requests.storage — total PVC storage requested
• persistentvolumeclaims — number of PVCs

Then check what the pod is requesting:

kubectl get pod -n <ns> -l app=<name> -o jsonpath='{range .items[0].spec.containers[*]}{.name}{"\t"}{.resources}{"\n"}{end}' 2>/dev/null

If no pods exist yet (all creation failed), check the Deployment or template spec:

kubectl get deployment <name> -n <ns> -o jsonpath='{range .spec.template.spec.containers[*]}{.name}{"\t"}{.resources}{"\n"}{end}'

Root cause analysis:

• If Used is near Hard for cpu/memory: existing pods are consuming most of the quota — need to scale down other workloads or increase quota
• If pods count is at the limit: too many pods in namespace — clean up or increase quota
• If the pod's resource requests are very large: consider reducing requests to fit within remaining quota

forbidden: ... minimum cpu/memory — LimitRange minimum violation

The pod's container does not meet the minimum resource request required by the namespace's LimitRange.

kubectl get limitrange -n <ns>

kubectl describe limitrange -n <ns>

Check the Min column for Container type. If a container does not specify resource requests, or its requests are below the minimum, admission will be rejected.

Compare with the pod's resource spec. If the container has no resource requests at all, the LimitRange default will be applied — but if the LimitRange has min without default, admission fails.

forbidden: ... maximum cpu/memory — LimitRange maximum violation

The pod's container exceeds the maximum resource limit allowed by the LimitRange.

Check LimitRange as above and compare the Max column with the container's resource requests/limits.

forbidden: ... maxLimitRequestRatio — LimitRange ratio violation

The ratio between the container's resource limit and request exceeds the allowed ratio (e.g., limit is 10x the request, but ratio cap is 3x).

kubectl describe limitrange -n <ns>

Check the Max Limit/Request Ratio column. Then compare the pod's limits vs requests:

kubectl get deployment <name> -n <ns> -o jsonpath='{range .spec.template.spec.containers[*]}{.name}{"\t requests:"}{.resources.requests}{"\t limits:"}{.resources.limits}{"\n"}{end}'

forbidden: ... no resources specified — Missing required resources

The LimitRange requires resource specifications, but the container has none and no defaults are configured.

Check if the LimitRange has Default and DefaultRequest values:

kubectl describe limitrange -n <ns>

If Default and DefaultRequest are empty but Min or Max are set, containers MUST explicitly specify resources.

Pod type LimitRange — min/max per pod

LimitRange can also enforce constraints at the Pod level (sum of all containers). Check if the LimitRange has a Pod type entry:

kubectl get limitrange -n <ns> -o jsonpath='{range .items[*].spec.limits[*]}{.type}{"\t min:"}{.min}{"\t max:"}{.max}{"\n"}{end}'

If the sum of all container resources exceeds the Pod-level max, admission is rejected.

exceeded quota for storage — PVC quota exhausted

If the error mentions requests.storage or persistentvolumeclaims:

kubectl describe resourcequota -n <ns>

Check the storage-related rows. Also check if there are per-StorageClass quotas:

kubectl get resourcequota -n <ns> -o yaml

Look for keys like <storageclass>.storageclass.storage.k8s.io/requests.storage.

3. Check for multiple constraints

A namespace can have multiple ResourceQuotas and LimitRanges. Always check for all of them:

kubectl get resourcequota,limitrange -n <ns>

All ResourceQuotas must be satisfied (intersection). The most restrictive LimitRange applies.

4. Verify scoped quotas

ResourceQuotas can be scoped to specific priority classes or pod phases:

kubectl get resourcequota -n <ns> -o yaml

Look for spec.scopes or spec.scopeSelector. A scoped quota only applies to pods matching the scope (e.g., PriorityClass=high). If the user's pod has a specific priority class, it may hit a scoped quota while the general quota still has capacity.

Notes

• ResourceQuota admission happens before scheduling. A pod rejected by quota will never appear in kubectl get pods — look at the controller (ReplicaSet, Job) events instead.
• When a namespace has a ResourceQuota for compute resources (cpu/memory), every container must specify requests/limits for those resources, otherwise admission is rejected. This catches users who are used to running without resource specs.
• LimitRange can automatically inject default requests/limits into containers that don't specify them. Check if defaults are configured before telling users to add explicit resource specs.
• For cross-reference: if the pod IS created but stuck in Pending, use the pod-pending-debug skill instead — that covers scheduling failures (node resources, taints, affinity).
• kubectl top pods -n <ns> shows actual resource usage, while quota tracks requested resources. A namespace can hit quota limits even if actual usage is low. Note: kubectl top requires metrics-server to be installed — if it returns an error, skip it and rely on quota Used values instead.