Funk-lab/k8s/infra/monitoring/values.yaml
ALI YESILKAYA 470c69881c
chore(gpu-01): retire les serveurs llama CPU system/monitor/dev (inutilisés) (#31)
Trois instances llama-server CPU manuelles (hors Ansible) tournaient sur gpu-01
sans servir : déjà orphelines de LiteLLM (alias absents de config.yaml, d'où le
bruit "Invalid model name"). Suppression complète :

gpu-01 (opérationnel, déjà fait) :
- systemctl disable --now + rm des units llama-server-{system,monitor,dev}
- ports firewall 1235/1236/1237 fermés

Repo :
- monitoring : scrape jobs (values.yaml) + alertes LlamaServer{System,Monitor}Down
  (alerts-ai.yaml) retirés → plus de "target down"/alertes fantômes ; panneaux de
  statut dashboard-infrastructure recyclés (system→llama-embed, monitor supprimé).
- docs admin/ + hermes-skills (souls funk-ai/brain, SKILL agent-delegation) mises à
  jour : inventaire modèles, profils Hermès system/monitor sans backend (à repointer
  sur qwen3-8b), litellm, ops, monitoring.

Les profils Hermès system/monitor existent toujours mais sans backend dédié.
Dashboards Grafana dashboard-ai (panneaux graphiques CPU) laissés tels quels
(cosmétique, séries vides, aucune alerte).

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-20 13:25:50 +02:00

161 lines
3.2 KiB
YAML

# kube-prometheus-stack — cluster Funk
# Ressources limitées pour compute-02/03 (8 GB RAM)
grafana:
initChownData:
enabled: false
grafana.ini:
database:
type: postgres
host: 192.168.10.1:5432
name: grafana
user: grafana
envFromSecrets:
- name: grafana-db-secret
ingress:
enabled: true
ingressClassName: traefik
hosts:
- grafana.lab.local
adminPassword: "funk-grafana"
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
memory: 1Gi
persistence:
enabled: true
storageClassName: nfs
size: 2Gi
prometheus:
ingress:
enabled: true
ingressClassName: traefik
hosts:
- prometheus.lab.local
paths:
- /
pathType: Prefix
prometheusSpec:
retention: 15d
retentionSize: "8GB"
resources:
requests:
cpu: 200m
memory: 512Mi
limits:
memory: 1Gi
storageSpec:
volumeClaimTemplate:
spec:
storageClassName: nfs
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: 20Gi
# Scrape des nœuds hors cluster (storage-01, gpu-01)
additionalScrapeConfigs:
- job_name: storage-01
static_configs:
- targets: ['192.168.10.1:9100']
labels:
instance: storage-01
role: gateway
- job_name: gpu-01-node
static_configs:
- targets: ['192.168.10.20:9100']
labels:
instance: gpu-01
role: gpu
- job_name: llama-server-gpu
static_configs:
- targets: ['192.168.10.20:1234']
labels:
instance: gpu-01
model: qwen3-8b
type: gpu
alertmanager:
ingress:
enabled: true
ingressClassName: traefik
hosts:
- alertmanager.lab.local
paths:
- /
pathType: Prefix
alertmanagerSpec:
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
memory: 128Mi
config:
global:
resolve_timeout: 5m
route:
group_by: ['alertname', 'instance']
group_wait: 30s
group_interval: 5m
repeat_interval: 4h
receiver: hermes-monitor
routes:
# Watchdog (heartbeat interne kube-prometheus-stack) — silencé
- matchers:
- alertname = "Watchdog"
receiver: "null"
repeat_interval: 24h
receivers:
- name: "null"
- name: hermes-monitor
webhook_configs:
- url: 'http://192.168.10.1:9093/webhook'
send_resolved: true
- url: 'http://n8n.lab.local/webhook/alerts'
send_resolved: true
prometheusOperator:
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
memory: 256Mi
kube-state-metrics:
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
memory: 128Mi
nodeExporter:
resources:
requests:
cpu: 50m
memory: 32Mi
limits:
memory: 64Mi
prometheus-node-exporter:
extraArgs:
- --collector.rapl
# Désactiver etcd/scheduler monitoring (Talos — non accessible)
kubeEtcd:
enabled: false
kubeScheduler:
enabled: false
kubeControllerManager:
enabled: false
kubeProxy:
enabled: false