feat(ai-stack): add DCGM exporter, Prometheus scraper, and Grafana AI Stack intelligence dashboard
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182
manifests/aerodrome/prometheus/prometheus.yaml
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182
manifests/aerodrome/prometheus/prometheus.yaml
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: prometheus-storage
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namespace: default
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labels:
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app.kubernetes.io/name: prometheus
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spec:
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accessModes:
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- ReadWriteOnce
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storageClassName: longhorn
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resources:
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requests:
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storage: 50Gi
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---
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: prometheus-config
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namespace: default
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labels:
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app.kubernetes.io/name: prometheus
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data:
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prometheus.yml: |
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global:
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scrape_interval: 15s
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scrape_timeout: 10s
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evaluation_interval: 15s
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scrape_configs:
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- job_name: 'prometheus'
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static_configs:
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- targets: ['localhost:9090']
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- job_name: 'vllm-qwen'
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metrics_path: /metrics
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static_configs:
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- targets: ['140.44.4.84:30800']
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labels:
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model: 'Qwen2.5-7B-Instruct'
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node: 'snaisvr44hrvstr04'
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role: 'general-instruction'
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- job_name: 'vllm-gemma4'
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metrics_path: /metrics
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static_configs:
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- targets: ['140.44.4.82:30804']
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labels:
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model: 'Gemma-4-12B-it'
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node: 'snaisvr44hrvstr02'
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role: 'coding-agent'
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- job_name: 'vllm-deepseek-r1'
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metrics_path: /metrics
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static_configs:
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- targets: ['140.44.4.81:30805']
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labels:
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model: 'DeepSeek-R1-Distill-Qwen-14B'
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node: 'snaisvr44hrvstr01'
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role: 'reasoning-planner'
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- job_name: 'triton-inference-server'
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metrics_path: /metrics
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static_configs:
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- targets: ['140.44.4.83:30803']
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labels:
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app: 'triton-inference-server'
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node: 'snaisvr44hrvstr03'
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model: 'decision_engine'
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- job_name: 'qdrant'
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metrics_path: /metrics
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static_configs:
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- targets: ['140.44.4.82:30633']
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labels:
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app: 'qdrant'
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node: 'snaisvr44hrvstr02'
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- job_name: 'nvidia-dcgm'
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metrics_path: /metrics
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static_configs:
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- targets: ['140.44.4.81:9400']
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labels:
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node: 'snaisvr44hrvstr01'
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gpu_model: 'Tesla T4'
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- targets: ['140.44.4.82:9400']
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labels:
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node: 'snaisvr44hrvstr02'
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gpu_model: 'Tesla T4'
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- targets: ['140.44.4.83:9400']
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labels:
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node: 'snaisvr44hrvstr03'
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gpu_model: 'Tesla T4'
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- targets: ['140.44.4.84:9400']
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labels:
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node: 'snaisvr44hrvstr04'
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gpu_model: 'Tesla T4'
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: prometheus
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namespace: default
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labels:
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app.kubernetes.io/name: prometheus
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app.kubernetes.io/name: prometheus
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template:
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metadata:
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labels:
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app.kubernetes.io/name: prometheus
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spec:
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securityContext:
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fsGroup: 65534
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runAsUser: 65534
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runAsNonRoot: true
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containers:
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- name: prometheus
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image: prom/prometheus:v2.54.1
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imagePullPolicy: IfNotPresent
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args:
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- "--config.file=/etc/prometheus/prometheus.yml"
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- "--storage.tsdb.path=/prometheus"
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- "--storage.tsdb.retention.time=90d"
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- "--web.enable-lifecycle"
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- "--web.console.libraries=/usr/share/prometheus/console_libraries"
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- "--web.console.templates=/usr/share/prometheus/consoles"
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ports:
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- name: web
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containerPort: 9090
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resources:
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requests:
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cpu: "500m"
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memory: "1Gi"
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limits:
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cpu: "2"
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memory: "4Gi"
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readinessProbe:
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httpGet:
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path: /-/ready
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port: 9090
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initialDelaySeconds: 10
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periodSeconds: 5
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livenessProbe:
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httpGet:
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path: /-/healthy
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port: 9090
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initialDelaySeconds: 30
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periodSeconds: 15
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volumeMounts:
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- name: config
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mountPath: /etc/prometheus
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- name: storage
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mountPath: /prometheus
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volumes:
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- name: config
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configMap:
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name: prometheus-config
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- name: storage
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persistentVolumeClaim:
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claimName: prometheus-storage
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: prometheus
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namespace: default
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labels:
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app.kubernetes.io/name: prometheus
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spec:
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type: ClusterIP
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selector:
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app.kubernetes.io/name: prometheus
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ports:
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- name: web
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port: 9090
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targetPort: 9090
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