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docs(customresourcestate): add example to expose same metrics with different label
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k8s-ci-robot authored Jan 27, 2025
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280 changes: 280 additions & 0 deletions docs/metrics/extend/customresourcestate-metrics.md
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Expand Up @@ -32,6 +32,7 @@ spec:
# in YAML files, | allows a multi-line string to be passed as a flag value
# see https://yaml-multiline.info
- |
kind: CustomResourceStateMetrics
spec:
resources:
- groupVersionKind:
Expand Down Expand Up @@ -65,6 +66,7 @@ spec:
# in YAML files, | allows a multi-line string to be passed as a flag value
# see https://yaml-multiline.info
- |
kind: CustomResourceStateMetrics
spec:
resources:
- groupVersionKind:
Expand Down Expand Up @@ -254,6 +256,73 @@ kube_customresource_ref_info{customresource_group="myteam.io", customresource_ki
kube_customresource_ref_info{customresource_group="myteam.io", customresource_kind="Foo", customresource_version="v1", name="foo",ref="foo_with_extensions"} 1
```

#### Same Metrics with Different Labels

```yaml
recommendation:
containerRecommendations:
- containerName: consumer
lowerBound:
cpu: 100m
memory: 262144k
```

For example in VPA we have above attributes and we want to have a same metrics for both CPU and Memory, you can use below config:

```
kind: CustomResourceStateMetrics
spec:
resources:
- groupVersionKind:
group: autoscaling.k8s.io
kind: "VerticalPodAutoscaler"
version: "v1"
labelsFromPath:
verticalpodautoscaler: [metadata, name]
namespace: [metadata, namespace]
target_api_version: [apiVersion]
target_kind: [spec, targetRef, kind]
target_name: [spec, targetRef, name]
metrics:
# for memory
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound"
help: "Minimum memory resources the container can use before the VerticalPodAutoscaler updater evicts it."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [lowerBound, memory]
# for CPU
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound"
help: "Minimum cpu resources the container can use before the VerticalPodAutoscaler updater evicts it."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [lowerBound, cpu]
```

Produces the following metrics:

```prometheus
# HELP kube_customresource_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound Minimum memory resources the container can use before the VerticalPodAutoscaler updater evicts it.
# TYPE kube_customresource_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound gauge
kube_customresource_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound{container="consumer",customresource_group="autoscaling.k8s.io",customresource_kind="VerticalPodAutoscaler",customresource_version="v1",namespace="namespace-example",resource="memory",target_api_version="apps/v1",target_kind="Deployment",target_name="target-name-example",unit="byte",verticalpodautoscaler="vpa-example"} 123456
# HELP kube_customresource_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound Minimum cpu resources the container can use before the VerticalPodAutoscaler updater evicts it.
# TYPE kube_customresource_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound gauge
kube_customresource_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound{container="consumer",customresource_group="autoscaling.k8s.io",customresource_kind="VerticalPodAutoscaler",customresource_version="v1",namespace="namespace-example",resource="cpu",target_api_version="apps/v1",target_kind="Deployment",target_name="target-name-example",unit="core",verticalpodautoscaler="vpa-example"} 0.1
```

#### VerticalPodAutoscaler

In v2.9.0 the `vericalpodautoscalers` resource was removed from the list of default resources. In order to generate metrics for `verticalpodautoscalers`, you can use the following Custom Resource State config:
Expand Down Expand Up @@ -292,6 +361,217 @@ spec:

The above configuration was tested on [this](https://github.com/kubernetes/autoscaler/blob/master/vertical-pod-autoscaler/examples/hamster.yaml) VPA configuration, with an added annotation (`foo: 123`).

#### All VerticalPodAutoscaler Metrics

As an addition for the above configuration, here's the complete `CustomResourceStateMetrics` spec to re-enable all of the VPA metrics which are removed from the list of the default resources:

<details>

<summary>VPA CustomResourceStateMetrics</summary>

```yaml
kind: CustomResourceStateMetrics
spec:
resources:
- groupVersionKind:
group: autoscaling.k8s.io
kind: "VerticalPodAutoscaler"
version: "v1"
labelsFromPath:
namespace: [metadata, namespace]
target_api_version: [spec, targetRef, apiVersion]
target_kind: [spec, targetRef, kind]
target_name: [spec, targetRef, name]
verticalpodautoscaler: [metadata, name]
metricNamePrefix: "kube"
metrics:
# kube_verticalpodautoscaler_annotations
- name: "verticalpodautoscaler_annotations"
help: "Kubernetes annotations converted to Prometheus labels."
each:
type: Info
info:
labelsFromPath:
annotation_*: [metadata, annotations]
name: [metadata, name]
# kube_verticalpodautoscaler_labels
- name: "verticalpodautoscaler_labels"
help: "Kubernetes labels converted to Prometheus labels."
each:
type: Info
info:
labelsFromPath:
label_*: [metadata, labels]
name: [metadata, name]
# kube_verticalpodautoscaler_spec_updatepolicy_updatemode
- name: "verticalpodautoscaler_spec_updatepolicy_updatemode"
help: "Update mode of the VerticalPodAutoscaler."
each:
type: StateSet
stateSet:
labelName: "update_mode"
path: [spec, updatePolicy, updateMode]
list: ["Auto", "Initial", "Off", "Recreate"]
# Memory kube_verticalpodautoscaler_spec_resourcepolicy_container_policies_minallowed_memory
- name: "verticalpodautoscaler_spec_resourcepolicy_container_policies_minallowed_memory"
help: "Minimum memory resources the VerticalPodAutoscaler can set for containers matching the name."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [spec, resourcePolicy, containerPolicies]
labelsFromPath:
container: [containerName]
valueFrom: [minAllowed, memory]
# CPU kube_verticalpodautoscaler_spec_resourcepolicy_container_policies_minallowed_cpu
- name: "verticalpodautoscaler_spec_resourcepolicy_container_policies_minallowed_cpu"
help: "Minimum cpu resources the VerticalPodAutoscaler can set for containers matching the name."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [spec, resourcePolicy, containerPolicies]
labelsFromPath:
container: [containerName]
valueFrom: [minAllowed, cpu]
# Memory kube_verticalpodautoscaler_spec_resourcepolicy_container_policies_maxallowed_memory
- name: "verticalpodautoscaler_spec_resourcepolicy_container_policies_maxallowed_memory"
help: "Maximum memory resources the VerticalPodAutoscaler can set for containers matching the name."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [spec, resourcePolicy, containerPolicies]
labelsFromPath:
container: [containerName]
valueFrom: [maxAllowed, memory]
# CPU kube_verticalpodautoscaler_spec_resourcepolicy_container_policies_maxallowed_cpu
- name: "verticalpodautoscaler_spec_resourcepolicy_container_policies_maxallowed_cpu"
help: "Maximum cpu resources the VerticalPodAutoscaler can set for containers matching the name."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [spec, resourcePolicy, containerPolicies]
labelsFromPath:
container: [containerName]
valueFrom: [maxAllowed, cpu]
# Memory kube_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound_memory
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound_memory"
help: "Minimum memory resources the container can use before the VerticalPodAutoscaler updater evicts it."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [lowerBound, memory]
# CPU kube_verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound_cpu
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_lowerbound_cpu"
help: "Minimum cpu resources the container can use before the VerticalPodAutoscaler updater evicts it."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [lowerBound, cpu]
# Memory kube_verticalpodautoscaler_status_recommendation_containerrecommendations_upperbound_memory
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_upperbound_memory"
help: "Maximum memory resources the container can use before the VerticalPodAutoscaler updater evicts it."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [upperBound, memory]
# CPU kube_verticalpodautoscaler_status_recommendation_containerrecommendations_upperbound_cpu
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_upperbound_cpu"
help: "Maximum cpu resources the container can use before the VerticalPodAutoscaler updater evicts it."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [upperBound, cpu]
# Memory kube_verticalpodautoscaler_status_recommendation_containerrecommendations_target_memory
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_target_memory"
help: "Target memory resources the VerticalPodAutoscaler recommends for the container."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [target, memory]
# CPU kube_verticalpodautoscaler_status_recommendation_containerrecommendations_target_cpu
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_target_cpu"
help: "Target cpu resources the VerticalPodAutoscaler recommends for the container."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [target, cpu]
# Memory kube_verticalpodautoscaler_status_recommendation_containerrecommendations_uncappedtarget_memory
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_uncappedtarget_memory"
help: "Target memory resources the VerticalPodAutoscaler recommends for the container ignoring bounds."
commonLabels:
unit: "byte"
resource: "memory"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [uncappedTarget, memory]
# CPU kube_verticalpodautoscaler_status_recommendation_containerrecommendations_uncappedtarget_cpu
- name: "verticalpodautoscaler_status_recommendation_containerrecommendations_uncappedtarget_cpu"
help: "Target memory resources the VerticalPodAutoscaler recommends for the container ignoring bounds."
commonLabels:
unit: "core"
resource: "cpu"
each:
type: Gauge
gauge:
path: [status, recommendation, containerRecommendations]
labelsFromPath:
container: [containerName]
valueFrom: [uncappedTarget, cpu]
```

</details>

### Metric types

The configuration supports three kind of metrics from the [OpenMetrics specification](https://github.com/prometheus/OpenMetrics/blob/v1.0.0/specification/OpenMetrics.md).
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