scottk/kubernetes
1
0
Fork 0
mirror of https://github.com/optim-enterprises-bv/kubernetes.git synced 2025-10-31 18:28:13 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #126862 from carlory/HPAContainerMetrics

Browse Source 
Remove generally available feature gate HPAContainerMetrics
This commit is contained in:
Kubernetes Prow Robot
2024-11-05 16:19:29 +00:00
committed by GitHub
parent 9bbb46d05f d62ee4ab5f
commit f56db61db5
19 changed files with 33 additions and 100 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
pkg/generated/openapi/zz_generated.openapi.go generated
View File

@@ -13504,7 +13504,7 @@ func schema_k8sio_api_autoscaling_v1_MetricSpec(ref common.ReferenceCallback) co
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled\n\nPossible enum values:\n - `\"ContainerResource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing a single container in each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).\n - `\"External\"` is a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).\n - `\"Object\"` is a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).\n - `\"Pods\"` is a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.\n - `\"Resource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).",
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object.\n\nPossible enum values:\n - `\"ContainerResource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing a single container in each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).\n - `\"External\"` is a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).\n - `\"Object\"` is a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).\n - `\"Pods\"` is a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.\n - `\"Resource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).",
Default: "",
Type: []string{"string"},
Format: "",
@@ -13531,7 +13531,7 @@ func schema_k8sio_api_autoscaling_v1_MetricSpec(ref common.ReferenceCallback) co
},
"containerResource": {
SchemaProps: spec.SchemaProps{
Description: "containerResource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. This is an alpha feature and can be enabled by the HPAContainerMetrics feature flag.",
Description: "containerResource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
Ref: ref("k8s.io/api/autoscaling/v1.ContainerResourceMetricSource"),
},
},
@@ -13559,7 +13559,7 @@ func schema_k8sio_api_autoscaling_v1_MetricStatus(ref common.ReferenceCallback)
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled\n\nPossible enum values:\n - `\"ContainerResource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing a single container in each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).\n - `\"External\"` is a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).\n - `\"Object\"` is a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).\n - `\"Pods\"` is a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.\n - `\"Resource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).",
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object.\n\nPossible enum values:\n - `\"ContainerResource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing a single container in each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).\n - `\"External\"` is a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).\n - `\"Object\"` is a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).\n - `\"Pods\"` is a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.\n - `\"Resource\"` is a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics (the \"pods\" source).",
Default: "",
Type: []string{"string"},
Format: "",
@@ -14578,7 +14578,7 @@ func schema_k8sio_api_autoscaling_v2_MetricSpec(ref common.ReferenceCallback) co
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object.",
Default: "",
Type: []string{"string"},
Format: "",
@@ -14604,7 +14604,7 @@ func schema_k8sio_api_autoscaling_v2_MetricSpec(ref common.ReferenceCallback) co
},
"containerResource": {
SchemaProps: spec.SchemaProps{
Description: "containerResource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. This is an alpha feature and can be enabled by the HPAContainerMetrics feature flag.",
Description: "containerResource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
Ref: ref("k8s.io/api/autoscaling/v2.ContainerResourceMetricSource"),
},
},
@@ -14632,7 +14632,7 @@ func schema_k8sio_api_autoscaling_v2_MetricStatus(ref common.ReferenceCallback)
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object.",
Default: "",
Type: []string{"string"},
Format: "",
@@ -15463,7 +15463,7 @@ func schema_k8sio_api_autoscaling_v2beta1_MetricSpec(ref common.ReferenceCallbac
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object.",
Default: "",
Type: []string{"string"},
Format: "",
@@ -15489,7 +15489,7 @@ func schema_k8sio_api_autoscaling_v2beta1_MetricSpec(ref common.ReferenceCallbac
},
"containerResource": {
SchemaProps: spec.SchemaProps{
Description: "container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. This is an alpha feature and can be enabled by the HPAContainerMetrics feature flag.",
Description: "container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
Ref: ref("k8s.io/api/autoscaling/v2beta1.ContainerResourceMetricSource"),
},
},
@@ -15517,7 +15517,7 @@ func schema_k8sio_api_autoscaling_v2beta1_MetricStatus(ref common.ReferenceCallb
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object.",
Default: "",
Type: []string{"string"},
Format: "",
@@ -16432,7 +16432,7 @@ func schema_k8sio_api_autoscaling_v2beta2_MetricSpec(ref common.ReferenceCallbac
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",
Description: "type is the type of metric source. It should be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each mapping to a matching field in the object.",
Default: "",
Type: []string{"string"},
Format: "",
@@ -16458,7 +16458,7 @@ func schema_k8sio_api_autoscaling_v2beta2_MetricSpec(ref common.ReferenceCallbac
},
"containerResource": {
SchemaProps: spec.SchemaProps{
Description: "container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. This is an alpha feature and can be enabled by the HPAContainerMetrics feature flag.",
Description: "container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
Ref: ref("k8s.io/api/autoscaling/v2beta2.ContainerResourceMetricSource"),
},
},
@@ -16486,7 +16486,7 @@ func schema_k8sio_api_autoscaling_v2beta2_MetricStatus(ref common.ReferenceCallb
Properties: map[string]spec.Schema{
"type": {
SchemaProps: spec.SchemaProps{
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object. Note: \"ContainerResource\" type is available on when the feature-gate HPAContainerMetrics is enabled",
Description: "type is the type of metric source. It will be one of \"ContainerResource\", \"External\", \"Object\", \"Pods\" or \"Resource\", each corresponds to a matching field in the object.",
Default: "",
Type: []string{"string"},
Format: "",