Remove all CPU limits cluster-wide to eliminate CFS throttling
CPU limits cause CFS throttling even when nodes have idle capacity. Move to a request-only CPU model: keep CPU requests for scheduling fairness but remove all CPU limits. Memory limits stay (incompressible). Changes across 108 files: - Kyverno LimitRange policy: remove cpu from default/max in all 6 tiers - Kyverno ResourceQuota policy: remove limits.cpu from all 5 tiers - Custom ResourceQuotas: remove limits.cpu from 8 namespace quotas - Custom LimitRanges: remove cpu from default/max (nextcloud, onlyoffice) - RBAC module: remove cpu_limits variable and quota reference - Freedify factory: remove cpu_limit variable and limits reference - 86 deployment files: remove cpu from all limits blocks - 6 Helm values files: remove cpu under limits sections
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108 changed files with 609 additions and 435 deletions
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@ -204,5 +204,4 @@ controller:
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cpu: 50m
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memory: 512Mi
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limits:
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cpu: 200m
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memory: 1Gi
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@ -32,7 +32,6 @@ resource "helm_release" "caretta" {
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memory = "300Mi"
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}
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limits = {
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cpu = "200m"
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memory = "512Mi"
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}
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}
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@ -43,7 +43,6 @@ resource "kubernetes_deployment" "goflow2" {
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memory = "64Mi"
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}
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limits = {
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cpu = "200m"
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memory = "256Mi"
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}
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}
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@ -7,7 +7,6 @@ resources:
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cpu: 50m
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memory: 128Mi
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limits:
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cpu: 500m
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memory: 512Mi
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topologySpreadConstraints:
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- maxSkew: 1
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@ -72,7 +72,6 @@ singleBinary:
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cpu: 250m
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memory: 2Gi
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limits:
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cpu: "1"
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memory: 4Gi
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# Zero out replica counts of other deployment modes
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@ -7,28 +7,28 @@ variable "idrac_username" {
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default = "root"
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}
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variable "idrac_password" {
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default = "calvin"
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default = "calvin"
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sensitive = true
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}
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variable "alertmanager_slack_api_url" {}
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variable "tiny_tuya_service_secret" {
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type = string
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type = string
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sensitive = true
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}
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variable "haos_api_token" {
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type = string
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type = string
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sensitive = true
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}
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variable "pve_password" {
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type = string
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type = string
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sensitive = true
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}
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variable "grafana_db_password" {
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type = string
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type = string
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sensitive = true
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}
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variable "grafana_admin_password" {
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type = string
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type = string
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sensitive = true
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}
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variable "tier" { type = string }
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@ -211,7 +211,6 @@ resource "kubernetes_resource_quota" "monitoring" {
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hard = {
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"requests.cpu" = "16"
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"requests.memory" = "16Gi"
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"limits.cpu" = "64"
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"limits.memory" = "64Gi"
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pods = "100"
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}
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