GlobalResourceQuota
GlobalResourceQuota provides a single Kubernetes ResourceQuota budget shared by a selected set of namespaces.
A standard Kubernetes ResourceQuota is namespaced. Copying the same quota into multiple namespaces gives every namespace the full limit, so the combined usage can grow with the number of namespaces. GlobalResourceQuota keeps the familiar Kubernetes quota API while enforcing one aggregate hard limit across all selected namespaces.
The resource is cluster-scoped and can select any namespace. Selected namespaces do not have to belong to a Capsule Tenant.
Concept
A GlobalResourceQuota consists of:
- One or more namespace label selectors.
- One native Kubernetes
ResourceQuotaSpec. - Aggregate usage and availability in its status.
- Per-namespace usage in its status.
- An internal
QuantityLedgerused to serialize concurrent admission.
Capsule creates a managed native ResourceQuota in every selected namespace. The native quotas provide Kubernetes-compatible accounting and status. Capsule’s validating admission webhook evaluates all matching GlobalResourceQuota objects and reserves new usage atomically before allowing the request.
This combination prevents concurrent requests in different namespaces from exceeding the shared limit.
Benefits
- Share one hard limit across any number of namespaces.
- Use native Kubernetes resource names, scopes, and scope selectors.
- Select Tenant namespaces, application namespaces, environments, or arbitrary namespace groups.
- Prevent oversubscription during concurrent admission.
- Inspect aggregate and per-namespace usage from one cluster-scoped resource.
- Monitor limits, usage, availability, conditions, and namespace consumption with Prometheus.
- Generate quotas from Capsule Tenant rules where desired.
GlobalResourceQuota
The following quota shares CPU and memory across all namespaces belonging to the green Tenant:
apiVersion: capsule.clastix.io/v1beta2
kind: GlobalResourceQuota
metadata:
name: green-shared-compute
spec:
namespaceSelectors:
- matchLabels:
capsule.clastix.io/tenant: green
quota:
hard:
limits.cpu: "8"
limits.memory: 16Gi
requests.cpu: "8"
requests.memory: 16Gi
Each GlobalResourceQuota represents one native ResourceQuotaSpec. Create multiple GlobalResourceQuota objects when different scopes, selectors, or independently managed limits are required.
Namespace selection
Namespaces are selected through .spec.namespaceSelectors.
Requirements inside one selector are combined with AND. Multiple entries in namespaceSelectors are combined with OR. A namespace matching any entry is included only once.
apiVersion: capsule.clastix.io/v1beta2
kind: GlobalResourceQuota
metadata:
name: production-and-staging
spec:
namespaceSelectors:
- matchLabels:
company.example/environment: production
matchExpressions:
- key: company.example/quota-enabled
operator: In
values: ["true"]
- matchLabels:
company.example/environment: staging
quota:
hard:
requests.cpu: "20"
requests.memory: 40Gi
Selection behavior:
- Omitting
namespaceSelectorsselects no namespaces. - A selector entry containing an empty
matchLabels/matchExpressionsselector matches every namespace. - A selector with a
nillabel selector is ignored. - Terminating namespaces are not included.
- Namespace membership is recalculated when namespace labels or the quota selectors change.
Non-Tenant Namespaces
While you can define namespaceSelectors to select any namespace, by default only namespaced resources in Namespaces which are part of a Tenant are only sent to admission. If you want to use GlobalResourceQuota for Namespaces that are not part of a Tenant, you must mainly change the admission configuration to also sent namespaced resources to the GlobalResourceQuota webhook:
webhooks:
hooks:
globalresourcequotas:
enabled: true
namespaceSelector:
matchExpressions:
- key: capsule.clastix.io/tenant
operator: Exists
- key: kubernetes.io/metadata.name
operator: In
values:
- tenants-shared-system
While this may be cumbersome, it was the best solution to avoid implementing a potential cluster DoS attack vector. Only then calculations are sent to the admission webhook for Namespaces that are not part of a Tenant.
spec:
namespaceSelectors:
- matchExpressions:
- key: kubernetes.io/metadata.name
operator: In
values:
- tenants-shared-system
Selecting Tenant namespaces
Capsule labels Tenant namespaces with the Tenant name. The compatibility label can be used directly:
spec:
namespaceSelectors:
- matchLabels:
capsule.clastix.io/tenant: solar
Multiple Tenants can share one quota:
spec:
namespaceSelectors:
- matchLabels:
capsule.clastix.io/tenant: solar
- matchLabels:
capsule.clastix.io/tenant: wind
Quota resources
.spec.quota is a Kubernetes ResourceQuotaSpec. The same hard-resource names and scope rules used by Kubernetes apply.
Compute resources
spec:
namespaceSelectors:
- matchLabels:
company.example/team: payments
quota:
hard:
requests.cpu: "16"
requests.memory: 32Gi
limits.cpu: "32"
limits.memory: 64Gi
pods: "100"
Pod requests and limits are calculated using the Kubernetes pod resource helpers. This includes:
- Regular containers.
- Init containers, including restartable sidecars.
- Pod overhead.
- Pod-level CPU and memory resources when supported by the Kubernetes API server.
- Pod lifecycle behavior, such as excluding terminal Pods from compute usage while retaining
count/pods.
Pod-level resources can be placed on a Pod template:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx
namespace: solar-production
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
cpu: "1"
memory: 1Gi
containers:
- name: nginx
image: nginx:1.27
Kubernetes must support and enable Pod-level resources. If the API server removes the field because the feature is unavailable, quota validation falls back to Kubernetes’ historical per-container CPU and memory requirements.
Ephemeral storage
Ephemeral-storage requests and limits are accounted like native Kubernetes Pod quotas:
apiVersion: capsule.clastix.io/v1beta2
kind: GlobalResourceQuota
metadata:
name: shared-ephemeral-storage
spec:
namespaceSelectors:
- matchLabels:
company.example/storage-budget: shared
quota:
hard:
ephemeral-storage: 100Gi
requests.ephemeral-storage: 100Gi
limits.ephemeral-storage: 200Gi
Define ephemeral-storage requests and limits on containers:
apiVersion: v1
kind: Pod
metadata:
name: worker
namespace: solar-production
spec:
containers:
- name: worker
image: example.com/worker:latest
resources:
requests:
ephemeral-storage: 2Gi
limits:
ephemeral-storage: 4Gi
volumeMounts:
- name: cache
mountPath: /cache
volumes:
- name: cache
emptyDir:
sizeLimit: 8Gi
An emptyDir.sizeLimit is a volume limit, not a Pod resource request. It does not add 8Gi to ResourceQuota usage. Configure container requests.ephemeral-storage when storage must be reserved and counted.
Object counts
Both legacy core-resource names and generic object-count names are supported.
spec:
quota:
hard:
pods: "100"
services: "20"
secrets: "50"
count/configmaps: "50"
count/deployments.apps: "30"
count/horizontalpodautoscalers.autoscaling: "10"
Generic count syntax is:
count/<plural-resource-name>.<api-group>
The API group is omitted for core resources:
count/configmaps
count/pods
For grouped or custom resources, include the group:
count/deployments.apps
count/jobs.batch
count/widgets.platform.example.com
Object creation is reserved through the same atomic ledger as compute resources. For example, if services: 5 is shared by two namespaces and ten Services are created concurrently, only five admissions can succeed.
Persistent storage
PVC accounting includes the native Kubernetes quota resource names:
spec:
quota:
hard:
persistentvolumeclaims: "20"
requests.storage: 500Gi
fast.storageclass.storage.k8s.io/persistentvolumeclaims: "10"
fast.storageclass.storage.k8s.io/requests.storage: 250Gi
PVC storage-class resources, allocated storage, resize status, and supported VolumeAttributesClass scopes follow Kubernetes ResourceQuota behavior.
Scopes and scope selectors
Native quota scopes can be used without Capsule-specific syntax:
apiVersion: capsule.clastix.io/v1beta2
kind: GlobalResourceQuota
metadata:
name: high-priority-compute
spec:
namespaceSelectors:
- matchExpressions:
- key: capsule.clastix.io/tenant
operator: Exists
quota:
hard:
requests.cpu: "20"
requests.memory: 40Gi
scopeSelector:
matchExpressions:
- scopeName: PriorityClass
operator: In
values: ["high"]
Pod scopes such as Terminating, NotTerminating, BestEffort, NotBestEffort, PriorityClass, and CrossNamespacePodAffinity are evaluated before usage is reserved.
Operating
Status
The status exposes the selected namespaces and observed usage:
status:
observedGeneration: 1
namespaceCount: 2
namespaces:
- solar-production
- solar-staging
total:
hard:
requests.cpu: "8"
requests.memory: 16Gi
used:
requests.cpu: "3"
requests.memory: 6Gi
available:
requests.cpu: "5"
requests.memory: 10Gi
namespaceUsage:
solar-production:
used:
requests.cpu: "2"
requests.memory: 4Gi
solar-staging:
used:
requests.cpu: "1"
requests.memory: 2Gi
conditions:
- type: Ready
status: "True"
reason: Succeeded
message: reconciled
status.total.used is observed native usage. Very recent admissions may still exist only as ledger reservations, so admission can correctly reject new work before the observed status or metrics reach the hard limit.
Useful commands:
kubectl get globalresourcequotas
kubectl get globalquota green-shared-compute -o yaml
kubectl get resourcequotas -A \
-l projectcapsule.dev/global-resource-quota=green-shared-compute
kubectl get quantityledgers -n capsule-system \
-l projectcapsule.dev/global-resource-quota=green-shared-compute \
-o yaml
Managed native ResourceQuota objects and QuantityLedgers are implementation details. Do not edit or delete them directly.
Atomic admission
Native ResourceQuota.status.used is eventually consistent. Reading the status and then allowing a request is insufficient because multiple requests can observe the same available capacity.
Global quota admission uses reservations:
- The webhook finds every
GlobalResourceQuotamatching the request namespace. - The incoming object is decoded and evaluated once.
- Only resources present in each quota’s
hardlist are considered. - For updates, only the positive usage delta is reserved.
- The webhook atomically adds the delta to the quota’s
QuantityLedgerusing Kubernetes optimistic concurrency. - Admission is denied if observed usage plus active reservations would exceed any hard limit.
- The controller removes reservations as native
ResourceQuota.status.usedcatches up.
This process is applied to every matching GlobalResourceQuota. If any matching quota rejects the request, admission is denied and reservations already made for that request are rolled back.
Dry-run requests are evaluated but do not persist reservations.
Readiness and failure behavior
Admission fails closed while a matching quota is not ready. The ledger must:
- Refer to the current
GlobalResourceQuotaUID. - Have observed the current quota generation.
- Contain the request namespace.
- Be initialized from every selected native ResourceQuota.
The chart enables the webhook with failurePolicy: Fail by default:
webhooks:
hooks:
globalresourcequotas:
enabled: true
failurePolicy: Fail
The webhook must observe namespaced create and update requests across API groups. Narrowing its webhook rules, namespace selector, object selector, or match conditions can create accounting gaps.
Reservations expire after two minutes if native usage never appears, for example when a later admission plugin rejects the object. A ledger accepts at most 1024 active reservations at one time.
Updating a quota
Hard limits can be increased normally.
A hard resource cannot be reduced below currently allocated usage. It also cannot be removed while observed usage or active reservations for that resource are non-zero. Release the resources first, wait for status reconciliation, and then reduce or remove the limit.
When selectors or hard limits change, admission waits for the ledger to observe the new generation and selected namespace set. This prevents requests from being admitted against stale quota state.
If several GlobalResourceQuota objects select the same namespace, all matching quotas apply. A request must satisfy every matching hard limit and scope.
Monitoring
The following Prometheus metrics are exposed:
| Metric | Labels | Description |
|---|---|---|
capsule_global_resource_quota_condition | global_resource_quota, condition | Current condition status, where true is 1. |
capsule_global_resource_quota_limit | global_resource_quota, resource | Shared hard limit. |
capsule_global_resource_quota_usage | global_resource_quota, resource | Observed aggregate usage. |
capsule_global_resource_quota_available | global_resource_quota, resource | Observed available capacity. |
capsule_global_resource_quota_usage_percentage | global_resource_quota, resource | Aggregate usage as a percentage of the hard limit. |
capsule_global_resource_quota_namespace_usage | global_resource_quota, target_namespace, resource | Observed usage per namespace. |
capsule_global_resource_quota_namespace_usage_percentage | global_resource_quota, target_namespace, resource | Namespace usage as a percentage of the shared limit. |
Example alerts:
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: capsule-global-resource-quota-alerts
spec:
groups:
- name: capsule-global-resource-quotas.rules
rules:
- alert: CapsuleGlobalResourceQuotaHighUsage
expr: capsule_global_resource_quota_usage_percentage > 90
for: 10m
labels:
severity: warning
annotations:
summary: Global resource quota usage is high
description: >-
Resource {{ $labels.resource }} in GlobalResourceQuota
{{ $labels.global_resource_quota }} is at {{ $value }} percent.
- alert: CapsuleGlobalResourceQuotaNotReady
expr: >-
capsule_global_resource_quota_condition{condition="Ready"} == 0
for: 10m
labels:
severity: warning
annotations:
summary: Global resource quota is not ready
description: >-
GlobalResourceQuota {{ $labels.global_resource_quota }}
has not been ready for ten minutes.
Migration
Troubleshooting
QuantityLedger ... is not initialized
The controller is waiting for every selected native ResourceQuota to report its hard and used status. Check:
kubectl get globalquota <name> -o yaml
kubectl get resourcequotas -A \
-l projectcapsule.dev/global-resource-quota=<name>
kubectl get quantityledgers -n capsule-system \
-l projectcapsule.dev/global-resource-quota=<name> \
-o yaml
Also verify that Capsule can list the selected namespaces and reconcile ResourceQuota status.
resource exceeds GlobalResourceQuota
The denial lists only the resource limits that the request would exceed. Quantities use the same canonical formatting as Kubernetes, for example:
resource exceeds GlobalResourceQuota "solar-shared-compute": limits.cpu (requested=1, current=8, projected=9, hard=8, exceededBy=1)
requestedis the additional usage introduced by this admission request.currentis the usage already accounted for, including active admission reservations.projectediscurrent + requested.hardis the configured limit.exceededByisprojected - hard.
Because current includes in-flight reservations, it can temporarily be higher than status.total.used.
must specify requests.cpu ... for: <container>
Kubernetes historically requires every regular and init container to declare CPU or memory resources when those resources are tracked by quota.
When supported Pod-level resources are present, Capsule follows Kubernetes and skips that legacy per-container requirement. Inspect the Pod or the controller’s stored Pod template:
kubectl get deployment <name> -n <namespace> -o yaml
kubectl get replicaset -n <namespace> -l app=<label> -o yaml
An older ReplicaSet can continue reporting failed Pod creation events after a Deployment is updated with Pod-level resources. Confirm that the ReplicaSet named in the event actually contains .spec.template.spec.resources.
A deleted object still appears in usage
Deletes release capacity after native ResourceQuota status observes the deletion. The delay is normally short but is eventually consistent.
A namespace is unexpectedly selected
Inspect all entries under namespaceSelectors. Entries are ORed, and an empty label selector matches every namespace.