Files
devops-infra-helm-charts-gcp/helm-overrides/gke-toolshed-prd-usc1/grafana/custom-values.yaml
T
Mukul SharmaandClaude Opus 5 f83cedca65 GKE: values for the remaining homelab tools
Ports the rest of the homelab's stack: external-secrets, harbor, jenkins,
postgresql, redis, victoria-metrics-single, vmagent, node-exporter and
grafana. All nine verified with helm template.

Most are the homelab's values with storage moved from local-path to
standard-rwo and hostnames rebuilt on the reserved ingress IP. vmagent and
node-exporter are unchanged outright — everything in them is addressed by
cluster DNS, namespace or container port, none of which differs here.

Harbor is the substantial one. The homelab serves it over plain HTTP and
makes containerd accept that by hand-editing hosts.toml on the node; GKE
nodes are managed and replaced, so that edit cannot survive. Instead the
node pool was told at creation to trust a private CA for exactly this
hostname, and cert-manager now signs Harbor's certificate from that same
CA via an ingress-shim annotation. certSource is "secret" rather than the
chart's "auto", which would self-sign a certificate nothing trusts.
externalURL moves to https to match, since Harbor hands that URL to docker
clients and a mismatch surfaces as registry errors.

Jenkins drops secondaryingress, which exists in the homelab only to serve
its Tailscale hostname. Its plugin pins are carried over deliberately: each
fixes a failure whose symptom points somewhere else, above all the
kubernetes/kubernetes-client-api pairing, without which agents never come
online and builds hang at "Still waiting to schedule task".

Postgres and Redis keep the homelab's deliberately small memory settings.
Those were chosen for an 8GB node under pressure, and while this cluster
has room, a bigger cache buys nothing for a handful of small tools.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LEsTefWWifp4ikvhHF5s6N
2026-09-12 15:01:49 +05:30

273 lines
15 KiB
YAML

grafana:
# From Vault via ExternalSecret (devops-infra-argo-config/secretstores/
# grafana-admin-credentials.yaml), same pattern as gitea/harbor/jenkins
# admin credentials elsewhere in this project — never a plaintext
# adminPassword in this file.
admin:
existingSecret: grafana-admin-credentials
userKey: username
passwordKey: password
persistence:
# 1Gi, not the chart's 10Gi default: this holds dashboards, folders and
# Grafana's own sqlite state, not metric data — VictoriaMetrics keeps
# that. Unlike the homelab's local-path, standard-rwo can be expanded
# later if that ever proves tight.
enabled: true
storageClassName: standard-rwo
size: 1Gi
resources:
requests:
cpu: 50m
memory: 128Mi
limits:
memory: 384Mi
# Provisioned at boot, not clicked through in the UI — the same reason
# every other credential/config in this project is committed rather
# than set by hand: it survives a pod restart and a fresh install gets
# it automatically. VictoriaMetrics speaks Prometheus's own query API,
# so `type: prometheus` here is correct even though the URL is VM's —
# see this repo's victoria-metrics-single chart for why.
datasources:
datasources.yaml:
apiVersion: 1
datasources:
- name: VictoriaMetrics
# Fixed uid, not left to auto-generate — the provisioned
# dashboard below references this datasource by uid, and an
# auto-generated one would only exist after Grafana's first
# boot, too late for a dashboard provisioned in the same boot.
uid: victoriametrics
type: prometheus
access: proxy
url: http://victoria-metrics-single-server.monitoring.svc.cluster.local:8428
isDefault: true
# Dashboard provisioning. Provisioned rather than built by hand in the
# UI for the same reason the datasource above is: it survives a pod
# restart (this deployment has no persistent Grafana database beyond
# the 1Gi PVC, and even with one, a fresh install should not start
# with an empty dashboard list) and a `git diff` shows what changed.
dashboardProviders:
dashboardproviders.yaml:
apiVersion: 1
providers:
- name: default
orgId: 1
folder: ""
type: file
disableDeletion: false
editable: true
options:
path: /var/lib/grafana/dashboards/default
# "Homelab Overview" — total Envoy/Contour RPS, per-namespace CPU and
# memory (the $namespace template variable filters every relevant
# panel), cluster-wide utilization against actual node capacity, and a
# total-resources row (cores/memory/pods/disk). Envoy and node-exporter
# metrics both required their own vmagent scrape job — see
# helm-overrides/.../vmagent/custom-values.yaml for why neither was
# reachable through the chart's own defaults in this cluster.
#
# Every panel except "Disk free" was run against the live deployment
# (vmui, over Tailscale) before being written in here — RPS, per-
# namespace CPU/memory, machine_cpu_cores/machine_memory_bytes all
# returned real data. "Disk free" depends on the node-exporter scrape
# job added alongside this same change, which had not been live yet to
# verify against — worth checking once this actually deploys, same as
# everything else in this repo that gets a `helm template` check but
# cannot get a live one before the first sync.
dashboards:
default:
homelab:
json: |
{
"title": "Homelab Overview",
"uid": "homelab-overview",
"schemaVersion": 39,
"editable": true,
"timezone": "browser",
"time": { "from": "now-1h", "to": "now" },
"refresh": "30s",
"templating": {
"list": [
{
"name": "namespace",
"type": "query",
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"query": "label_values(container_memory_working_set_bytes{container!=\"\", container!=\"POD\"}, namespace)",
"refresh": 2,
"multi": true,
"includeAll": true,
"current": { "selected": true, "text": "All", "value": "$__all" }
}
]
},
"panels": [
{ "type": "row", "title": "Ingress (Envoy / Contour)", "gridPos": { "h": 1, "w": 24, "x": 0, "y": 0 }, "id": 100 },
{
"type": "stat", "title": "Total RPS", "id": 1,
"gridPos": { "h": 6, "w": 6, "x": 0, "y": 1 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "sum(rate(envoy_http_downstream_rq_total{namespace=\"projectcontour\"}[5m]))", "legendFormat": "rps" }],
"fieldConfig": { "defaults": { "unit": "reqps", "decimals": 2 }, "overrides": [] },
"options": { "reduceOptions": { "calcs": ["lastNotNull"] }, "graphMode": "area" }
},
{
"type": "stat", "title": "Active downstream connections", "id": 2,
"gridPos": { "h": 6, "w": 6, "x": 6, "y": 1 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "sum(envoy_http_downstream_cx_active{namespace=\"projectcontour\"})", "legendFormat": "connections" }],
"fieldConfig": { "defaults": { "unit": "short" }, "overrides": [] }
},
{
"type": "timeseries", "title": "Requests by response class", "id": 3,
"gridPos": { "h": 6, "w": 12, "x": 12, "y": 1 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{
"expr": "sum by (envoy_response_code_class) (rate(envoy_http_downstream_rq_xx{namespace=\"projectcontour\"}[5m]))",
"legendFormat": "{{envoy_response_code_class}}xx"
}],
"fieldConfig": { "defaults": { "unit": "reqps" }, "overrides": [] },
"options": { "legend": { "displayMode": "list", "placement": "bottom" } }
},
{ "type": "row", "title": "Service level (by namespace)", "gridPos": { "h": 1, "w": 24, "x": 0, "y": 7 }, "id": 101 },
{
"type": "timeseries", "title": "CPU usage by namespace", "id": 10,
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{
"expr": "sum by (namespace) (rate(container_cpu_usage_seconds_total{namespace=~\"$namespace\", container!=\"\", container!=\"POD\"}[5m]))",
"legendFormat": "{{namespace}}"
}],
"fieldConfig": { "defaults": { "unit": "short", "custom": { "fillOpacity": 10, "stacking": { "mode": "normal" } } }, "overrides": [] },
"options": { "legend": { "displayMode": "table", "placement": "right", "calcs": ["mean", "max"] } }
},
{
"type": "timeseries", "title": "Memory usage by namespace", "id": 11,
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{
"expr": "sum by (namespace) (container_memory_working_set_bytes{namespace=~\"$namespace\", container!=\"\", container!=\"POD\"})",
"legendFormat": "{{namespace}}"
}],
"fieldConfig": { "defaults": { "unit": "bytes", "custom": { "fillOpacity": 10, "stacking": { "mode": "normal" } } }, "overrides": [] },
"options": { "legend": { "displayMode": "table", "placement": "right", "calcs": ["mean", "max"] } }
},
{
"type": "table", "title": "Current usage per namespace", "id": 12,
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 16 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [
{ "expr": "sum by (namespace) (rate(container_cpu_usage_seconds_total{namespace=~\"$namespace\", container!=\"\", container!=\"POD\"}[5m]))", "format": "table", "instant": true, "refId": "A" },
{ "expr": "sum by (namespace) (container_memory_working_set_bytes{namespace=~\"$namespace\", container!=\"\", container!=\"POD\"})", "format": "table", "instant": true, "refId": "B" },
{ "expr": "count by (namespace) (count by (namespace, pod) (container_memory_working_set_bytes{namespace=~\"$namespace\", container!=\"\", container!=\"POD\"}))", "format": "table", "instant": true, "refId": "C" }
],
"transformations": [
{ "id": "merge", "options": {} },
{ "id": "organize", "options": {
"excludeByName": { "Time": true, "Time 1": true, "Time 2": true, "Time 3": true },
"renameByName": { "Value #A": "CPU (cores)", "Value #B": "Memory", "Value #C": "Pods" }
} }
],
"fieldConfig": { "defaults": {}, "overrides": [
{ "matcher": { "id": "byName", "options": "Memory" }, "properties": [{ "id": "unit", "value": "bytes" }] },
{ "matcher": { "id": "byName", "options": "CPU (cores)" }, "properties": [{ "id": "unit", "value": "short" }, { "id": "decimals", "value": 3 }] }
] }
},
{ "type": "row", "title": "Cluster utilization", "gridPos": { "h": 1, "w": 24, "x": 0, "y": 24 }, "id": 102 },
{
"type": "gauge", "title": "CPU utilization", "id": 20,
"gridPos": { "h": 7, "w": 6, "x": 0, "y": 25 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "100 * sum(rate(container_cpu_usage_seconds_total{container!=\"\", container!=\"POD\"}[5m])) / sum(machine_cpu_cores)" }],
"fieldConfig": { "defaults": { "unit": "percent", "min": 0, "max": 100,
"thresholds": { "mode": "absolute", "steps": [
{ "color": "green", "value": null }, { "color": "yellow", "value": 70 }, { "color": "red", "value": 90 }
] } }, "overrides": [] }
},
{
"type": "gauge", "title": "Memory utilization", "id": 21,
"gridPos": { "h": 7, "w": 6, "x": 6, "y": 25 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "100 * sum(container_memory_working_set_bytes{container!=\"\", container!=\"POD\"}) / sum(machine_memory_bytes)" }],
"fieldConfig": { "defaults": { "unit": "percent", "min": 0, "max": 100,
"thresholds": { "mode": "absolute", "steps": [
{ "color": "green", "value": null }, { "color": "yellow", "value": 70 }, { "color": "red", "value": 90 }
] } }, "overrides": [] }
},
{
"type": "timeseries", "title": "Cluster CPU utilization over time", "id": 22,
"gridPos": { "h": 7, "w": 12, "x": 12, "y": 25 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [
{ "expr": "100 * sum(rate(container_cpu_usage_seconds_total{container!=\"\", container!=\"POD\"}[5m])) / sum(machine_cpu_cores)", "legendFormat": "CPU %" },
{ "expr": "100 * sum(container_memory_working_set_bytes{container!=\"\", container!=\"POD\"}) / sum(machine_memory_bytes)", "legendFormat": "Memory %" }
],
"fieldConfig": { "defaults": { "unit": "percent", "min": 0 }, "overrides": [] }
},
{ "type": "row", "title": "Total resources", "gridPos": { "h": 1, "w": 24, "x": 0, "y": 32 }, "id": 103 },
{
"type": "stat", "title": "Node CPU capacity", "id": 30,
"gridPos": { "h": 5, "w": 4, "x": 0, "y": 33 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "max(machine_cpu_cores)" }],
"fieldConfig": { "defaults": { "unit": "short", "displayName": "cores" }, "overrides": [] }
},
{
"type": "stat", "title": "Node memory capacity", "id": 31,
"gridPos": { "h": 5, "w": 4, "x": 4, "y": 33 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "max(machine_memory_bytes)" }],
"fieldConfig": { "defaults": { "unit": "bytes" }, "overrides": [] }
},
{
"type": "stat", "title": "CPU used (cluster)", "id": 32,
"gridPos": { "h": 5, "w": 4, "x": 8, "y": 33 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "sum(rate(container_cpu_usage_seconds_total{container!=\"\", container!=\"POD\"}[5m]))" }],
"fieldConfig": { "defaults": { "unit": "short", "displayName": "cores", "decimals": 2 }, "overrides": [] }
},
{
"type": "stat", "title": "Memory used (cluster)", "id": 33,
"gridPos": { "h": 5, "w": 4, "x": 12, "y": 33 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "sum(container_memory_working_set_bytes{container!=\"\", container!=\"POD\"})" }],
"fieldConfig": { "defaults": { "unit": "bytes" }, "overrides": [] }
},
{
"type": "stat", "title": "Running pods", "id": 34,
"gridPos": { "h": 5, "w": 4, "x": 16, "y": 33 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "count(count by (namespace, pod) (container_memory_working_set_bytes{container!=\"\", container!=\"POD\"}))" }],
"fieldConfig": { "defaults": { "unit": "short" }, "overrides": [] }
},
{
"type": "stat", "title": "Disk free (root)", "id": 35,
"gridPos": { "h": 5, "w": 4, "x": 20, "y": 33 },
"datasource": { "type": "prometheus", "uid": "victoriametrics" },
"targets": [{ "expr": "node_filesystem_avail_bytes{mountpoint=\"/\"}" }],
"fieldConfig": { "defaults": { "unit": "bytes",
"thresholds": { "mode": "absolute", "steps": [
{ "color": "red", "value": null }, { "color": "yellow", "value": 5000000000 }, { "color": "green", "value": 15000000000 }
] } }, "overrides": [] }
}
]
}
ingress:
enabled: true
ingressClassName: contour
path: /
hosts:
- grafana.35.238.248.203.nip.io