infra: Compose-Stack mit Monitoring, ohne LiteLLM (Task 5.2)
ci / test (push) Successful in 28s

- deploy/compose/infra: Dienst litellm entfernt (D4), Router auf LITELLM_BASE_URL
  (appsrv08, Port noch offen), alle Images gepinnt, Grafana und pve-exporter
  ohne Profile, node-exporter für den LXC, Zustand über KNASTER_STATE_DIR
- Prometheus: GPU-VMs per file_sd (node, gpu), Proxmox-Knoten per IP, infra-node
- Grafana: Datasource und Dashboards provisioniert (grafana.com 10347, 1860,
  14574 sowie knaster-Übersicht)
- Alertmanager: n8n-Receiver nur vorbereitet (auskommentiert)
- Ansible: Rollen infra-stack und gpu-exporters, Playbooks monitoring.yml und
  monitoring-targets.yml, Skript monitoring-targets.py (tofu output → file_sd)

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Robert Rapp
2026-10-12 20:22:26 +02:00
co-authored by Claude Opus 5.5
parent fd48fd1c7f
commit bf7c137adf
22 changed files with 23101 additions and 66 deletions
+1
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@@ -15,3 +15,4 @@ data/
.DS_Store .DS_Store
deploy/compose/*/secrets/ deploy/compose/*/secrets/
platform/proxmox/ansible/inventory.generated.yml platform/proxmox/ansible/inventory.generated.yml
platform/proxmox/ansible/monitoring-targets.generated/
+37 -1
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@@ -25,12 +25,48 @@ def test_healer_labels_available_on_alerts():
prom = yaml.safe_load((DEPLOY / "prometheus/prometheus.yml").read_text()) prom = yaml.safe_load((DEPLOY / "prometheus/prometheus.yml").read_text())
jobs = {j["job_name"]: j for j in prom["scrape_configs"]} jobs = {j["job_name"]: j for j in prom["scrape_configs"]}
for job in ("node", "gpu", "vllm"): for job in ("node", "gpu", "vllm"):
for sc in jobs[job]["static_configs"]: for sc in jobs[job].get("static_configs", []):
assert {"slot", "pve_node", "vmid"} <= set(sc["labels"]), (job, sc) assert {"slot", "pve_node", "vmid"} <= set(sc["labels"]), (job, sc)
# GPU-VMs kommen per file_sd; die Labels setzt platform/proxmox/scripts/monitoring-targets.py
generated = _monitoring_targets()
for job in ("node", "gpu"):
files = [f for sd in jobs[job]["file_sd_configs"] for f in sd["files"]]
assert files == [f"/etc/knaster-sd/{job}.json"]
assert generated[job]
for entry in generated[job]:
assert {"slot", "pve_node", "vmid"} <= set(entry["labels"]), (job, entry)
from knaster.canary import OPS_LABELS from knaster.canary import OPS_LABELS
assert set(OPS_LABELS) == {"docker_host", "container", "pve_node", "vmid"} assert set(OPS_LABELS) == {"docker_host", "container", "pve_node", "vmid"}
def _monitoring_targets() -> dict:
import importlib.util
spec = importlib.util.spec_from_file_location(
"monitoring_targets", REPO_ROOT / "platform/proxmox/scripts/monitoring-targets.py")
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
registry = yaml.safe_load((REPO_ROOT / "sites/knaster/registry.yaml").read_text(encoding="utf-8"))
gpu_vms = { # Form wie `tofu output -json gpu_vms`
"gpu-pve44": {"node": "pve44", "vmid": 244, "ipv4": "192.168.100.186"},
"gpu-pve48": {"node": "pve48", "vmid": 248, "ipv4": "192.168.100.183"},
"gpu-pve52": {"node": "pve52", "vmid": 252, "ipv4": "192.168.100.174"},
"gpu-pve46": {"node": "pve46", "vmid": 246, "ipv4": None},
}
return mod.build_targets(gpu_vms, registry)
def test_monitoring_targets_from_tofu_output():
t = _monitoring_targets()
assert [e["targets"][0] for e in t["node"]] == [
"192.168.100.186:9100", "192.168.100.183:9100", "192.168.100.174:9100"] # gpu-pve46 ohne IP fehlt
assert t["gpu"][0]["targets"] == ["192.168.100.186:9835"]
pve44 = t["node"][0]["labels"]
assert pve44["instance"] == "gpu-pve44" and pve44["vmid"] == "244" and pve44["pve_node"] == "pve44"
assert pve44["slot"] == "embed-default" and pve44["slots"] == "embed-default,rerank-default"
assert t["node"][2]["labels"]["slot"] == "none" # gpu-pve52 trägt noch keinen Slot
def test_alertmanager_targets_router_endpoint(): def test_alertmanager_targets_router_endpoint():
am = yaml.safe_load((DEPLOY / "alertmanager/alertmanager.yml").read_text()) am = yaml.safe_load((DEPLOY / "alertmanager/alertmanager.yml").read_text())
url = am["receivers"][0]["webhook_configs"][0]["url"] url = am["receivers"][0]["webhook_configs"][0]["url"]
+19 -1
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@@ -1,11 +1,20 @@
# Alertmanager → Router-Service (Healer). Kurzes repeat_interval treibt die Eskalationsleiter voran; # Alertmanager → Router-Service (Healer). Kurzes repeat_interval treibt die Eskalationsleiter voran;
# Cooldowns pro Stufe regelt der Healer selbst. # Cooldowns pro Stufe regelt der Healer selbst. Der Router läuft mit KNASTER_DRY_RUN=true.
route: route:
receiver: knaster-healer receiver: knaster-healer
group_by: [alertname, slot, instance] group_by: [alertname, slot, instance]
group_wait: 30s group_wait: 30s
group_interval: 1m group_interval: 1m
repeat_interval: 5m repeat_interval: 5m
# Vorbereitet, noch NICHT aktiv (Task 5.2, braucht den Nutzer: Workflow knaster-notify in n8n
# inaktiv importieren, Header-Auth setzen, aktivieren). Achtung: knaster-notify erwartet {text, severity, data},
# Alertmanager sendet sein eigenes Format – entweder den Workflow anpassen oder nur über den Router melden
# (Healer-Aktion notify → NOTIFY_WEBHOOK_URL). Danach einkommentieren:
# routes:
# - receiver: knaster-healer
# continue: true
# - receiver: n8n-notify
# matchers: ['severity=~"high|warning"']
receivers: receivers:
- name: knaster-healer - name: knaster-healer
@@ -16,3 +25,12 @@ receivers:
authorization: authorization:
type: Bearer type: Bearer
credentials_file: /etc/alertmanager/router_token credentials_file: /etc/alertmanager/router_token
# - name: n8n-notify
# webhook_configs:
# - url: https://n8n.mindboost.app/webhook/knaster/notify
# send_resolved: true
# http_config:
# authorization:
# type: Bearer
# credentials_file: /etc/alertmanager/n8n_token # Datei in /opt/knaster/infra/secrets, Mount ergänzen
+13 -5
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@@ -1,13 +1,21 @@
# Vorlage für deploy/compose/infra. Im Cluster schreibt die Ansible-Rolle infra-stack die Datei
# /opt/knaster/infra/.env (0600) im LXC infra; Geheimnisse erzeugt sie dort mit `openssl rand`.
KNASTER_VERSION=dev KNASTER_VERSION=dev
KNASTER_SITE=knaster KNASTER_SITE=knaster
KNASTER_STATE_DIR=.
KNASTER_API_TOKEN=change-me KNASTER_API_TOKEN=change-me
KNASTER_DRY_RUN=true KNASTER_DRY_RUN=true
KNASTER_CANARY_INTERVAL=60 KNASTER_CANARY_INTERVAL=60
POSTGRES_PASSWORD=change-me POSTGRES_PASSWORD=change-me
LITELLM_API_KEY=change-me GRAFANA_ADMIN_PASSWORD=change-me
LITELLM_MASTER_KEY=change-me GRAFANA_KIOSK_PASSWORD=change-me
OPENROUTER_API_KEY= # D4: LiteLLM mit PSE auf appsrv08, kein eigener LiteLLM im Stack.
RERANK_URL=http://gpu-embed-1:8082 # TODO (Nutzer, Task 6.3): Port festlegen. Der LiteLLM läuft auf appsrv08 nur im internen Netz
# (`litellm:4000`); am 12.10. waren von ops aus 4000/4001/8000 auf 192.168.100.29 geschlossen.
# Port auf appsrv08 für 192.168.100.0/24 freigeben (oder per Traefik) und hier eintragen.
LITELLM_BASE_URL=http://192.168.100.29:4000
LITELLM_API_KEY=
RERANK_URL=
NOTIFY_WEBHOOK_URL= NOTIFY_WEBHOOK_URL=
KNASTER_JOB_WEBHOOK_URL= KNASTER_JOB_WEBHOOK_URL=
PORTAINER_HOST= PORTAINER_HOST=
@@ -15,4 +23,4 @@ PORTAINER_KEY=
PROXMOX_URL= PROXMOX_URL=
PROXMOX_TOKEN_ID= PROXMOX_TOKEN_ID=
PROXMOX_TOKEN_SECRET= PROXMOX_TOKEN_SECRET=
KNASTER_WEBHOOK_AUTH=Bearer change-me KNASTER_WEBHOOK_AUTH=
+52 -30
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@@ -1,5 +1,10 @@
# Rolle "infra" (LXC/VM auf einem i7-Node): Router, LiteLLM, Postgres, Monitoring. # Rolle "infra" (LXC 101 auf pve44, HA nach pve48/pve52): Router, TTS, Postgres und Monitoring in einem Stack.
# Start: cp .env.example .env && docker compose up -d # Kein eigener LiteLLM (D4): Der Router nutzt den LiteLLM mit PSE auf appsrv08 (LITELLM_BASE_URL).
#
# Lokal: cp .env.example .env && docker compose up -d
# Cluster: Ansible-Rolle infra-stack (platform/proxmox/ansible). Zustand und Geheimnisse liegen dort
# außerhalb des Repos in KNASTER_STATE_DIR=/opt/knaster/infra (.env, secrets/, file_sd/), Aufruf:
# docker compose -p knaster-infra --env-file /opt/knaster/infra/.env -f <repo>/deploy/compose/infra/docker-compose.yml up -d
name: knaster-infra name: knaster-infra
x-restart: &restart x-restart: &restart
@@ -13,29 +18,15 @@ services:
context: ../../.. context: ../../..
dockerfile: deploy/docker/router.Dockerfile dockerfile: deploy/docker/router.Dockerfile
image: knaster/router:${KNASTER_VERSION:-dev} image: knaster/router:${KNASTER_VERSION:-dev}
env_file: [{path: .env, required: false}] env_file: [{path: "${KNASTER_STATE_DIR:-.}/.env", required: false}]
environment: environment:
KNASTER_DB_URL: postgresql+psycopg://knaster:${POSTGRES_PASSWORD:?POSTGRES_PASSWORD fehlt}@postgres:5432/knaster KNASTER_DB_URL: postgresql+psycopg://knaster:${POSTGRES_PASSWORD:?POSTGRES_PASSWORD fehlt}@postgres:5432/knaster
KNASTER_SITE_DIR: /app/sites/${KNASTER_SITE:-knaster} KNASTER_SITE_DIR: /app/sites/${KNASTER_SITE:-knaster}
LITELLM_BASE_URL: http://litellm:4000 KNASTER_DRY_RUN: ${KNASTER_DRY_RUN:-true}
LITELLM_BASE_URL: ${LITELLM_BASE_URL:?LITELLM_BASE_URL fehlt (LiteLLM auf appsrv08, D4)}
ports: ["8080:8080"] ports: ["8080:8080"]
depends_on: depends_on:
postgres: {condition: service_healthy} postgres: {condition: service_healthy}
litellm: {condition: service_started}
litellm:
<<: *restart
image: ghcr.io/berriai/litellm:${LITELLM_TAG:-main-stable} # vor Deployment auf feste Version pinnen
command: ["--config", "/app/config.yaml", "--port", "4000"]
env_file: [{path: .env, required: false}]
volumes:
- ../../litellm/config.yaml:/app/config.yaml:ro
ports: ["4000:4000"]
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:4000/health/liveliness', timeout=4)"]
interval: 30s
timeout: 5s
retries: 3
tts-piper: tts-piper:
<<: *restart <<: *restart
@@ -53,7 +44,7 @@ services:
postgres: postgres:
<<: *restart <<: *restart
image: pgvector/pgvector:pg16 image: pgvector/pgvector:0.8.7-pg16-trixie
environment: environment:
POSTGRES_USER: knaster POSTGRES_USER: knaster
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?POSTGRES_PASSWORD fehlt} POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?POSTGRES_PASSWORD fehlt}
@@ -66,42 +57,72 @@ services:
timeout: 5s timeout: 5s
retries: 5 retries: 5
# --- Monitoring ---------------------------------------------------------------------------------
prometheus: prometheus:
<<: *restart <<: *restart
image: prom/prometheus:v2.53.0 image: prom/prometheus:v3.13.4
command: command:
- --config.file=/etc/prometheus/prometheus.yml - --config.file=/etc/prometheus/prometheus.yml
- --storage.tsdb.path=/prometheus
- --storage.tsdb.retention.time=15d - --storage.tsdb.retention.time=15d
- --web.enable-lifecycle - --web.enable-lifecycle
volumes: volumes:
- ../../prometheus:/etc/prometheus:ro - ../../prometheus:/etc/prometheus:ro
# file_sd: Ziele der GPU-VMs (DHCP, IPs wechseln), erzeugt auf ops aus `tofu output -json gpu_vms`
- ${KNASTER_STATE_DIR:-.}/file_sd:/etc/knaster-sd:ro
- prometheus:/prometheus - prometheus:/prometheus
extra_hosts: ["host.docker.internal:host-gateway"] # node-exporter des LXC läuft im Host-Netz
ports: ["9090:9090"] ports: ["9090:9090"]
alertmanager: alertmanager:
<<: *restart <<: *restart
image: prom/alertmanager:v0.27.0 image: prom/alertmanager:v0.34.1
command: ["--config.file=/etc/alertmanager/alertmanager.yml"] command:
- --config.file=/etc/alertmanager/alertmanager.yml
- --storage.path=/alertmanager
volumes: volumes:
- ../../alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml:ro - ../../alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml:ro
- ./secrets/router_token:/etc/alertmanager/router_token:ro - ${KNASTER_STATE_DIR:-.}/secrets/router_token:/etc/alertmanager/router_token:ro
- alertmanager:/alertmanager
ports: ["9093:9093"] ports: ["9093:9093"]
grafana: grafana:
<<: *restart <<: *restart
image: grafana/grafana:11.1.0 image: grafana/grafana:12.4.12
profiles: ["dashboards"] environment:
GF_SECURITY_ADMIN_USER: admin
GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?GRAFANA_ADMIN_PASSWORD fehlt} # wirkt nur beim ersten Start
GF_USERS_ALLOW_SIGN_UP: "false"
GF_USERS_DEFAULT_THEME: dark
GF_ANALYTICS_REPORTING_ENABLED: "false"
GF_ANALYTICS_CHECK_FOR_UPDATES: "false"
GF_ANALYTICS_CHECK_FOR_PLUGIN_UPDATES: "false"
GF_NEWS_NEWS_FEED_ENABLED: "false"
GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH: /var/lib/grafana/dashboards/knaster-uebersicht.json
volumes: volumes:
- ../../grafana/provisioning:/etc/grafana/provisioning:ro
- ../../grafana/dashboards:/var/lib/grafana/dashboards:ro
- grafana:/var/lib/grafana - grafana:/var/lib/grafana
ports: ["3000:3000"] ports: ["3000:3000"]
depends_on: [prometheus]
pve-exporter: pve-exporter:
<<: *restart <<: *restart
image: prompve/prometheus-pve-exporter:${PVE_EXPORTER_TAG:-latest} # vor Deployment pinnen image: prompve/prometheus-pve-exporter:3.10.1
profiles: ["proxmox"] # Token monitoring@pve!prom (PVEAuditor) als PVE_USER/PVE_TOKEN_NAME/PVE_TOKEN_VALUE/PVE_VERIFY_SSL
env_file: [{path: "${KNASTER_STATE_DIR:-.}/secrets/pve-exporter.env", required: false}]
expose: ["9221"]
node-exporter:
<<: *restart
image: prom/node-exporter:v1.12.1
command:
- --path.rootfs=/host
- --web.listen-address=:9100
network_mode: host
pid: host
volumes: volumes:
- ./secrets/pve.yml:/etc/prometheus/pve.yml:ro - /:/host:ro # ohne rslave: im unprivilegierten LXC nicht erlaubt
ports: ["9221:9221"]
autoheal: autoheal:
restart: unless-stopped restart: unless-stopped
@@ -115,4 +136,5 @@ services:
volumes: volumes:
postgres: {} postgres: {}
prometheus: {} prometheus: {}
alertmanager: {}
grafana: {} grafana: {}
@@ -0,0 +1,772 @@
{
"uid": "knaster-uebersicht",
"title": "knaster – Übersicht",
"tags": [
"knaster"
],
"timezone": "browser",
"schemaVersion": 39,
"version": 1,
"editable": false,
"refresh": "30s",
"time": {
"from": "now-6h",
"to": "now"
},
"panels": [
{
"id": 1,
"type": "stat",
"title": "Proxmox-Knoten online",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 0,
"y": 0,
"w": 4,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "count(max by (id) (pve_up{id=~\"node/.*\"}) == 1) or vector(0)",
"legendFormat": ""
}
],
"fieldConfig": {
"defaults": {
"unit": "none",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 2,
"type": "stat",
"title": "Gäste laufend",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 4,
"y": 0,
"w": 4,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "count(max by (id) (pve_up{id=~\"(qemu|lxc)/.*\"}) == 1) or vector(0)",
"legendFormat": ""
}
],
"fieldConfig": {
"defaults": {
"unit": "none",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 3,
"type": "stat",
"title": "GPUs gemeldet",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 8,
"y": 0,
"w": 4,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "count(count by (instance, uuid) (nvidia_smi_index)) or vector(0)",
"legendFormat": ""
}
],
"fieldConfig": {
"defaults": {
"unit": "none",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 4,
"type": "stat",
"title": "Ziele nicht erreichbar",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 12,
"y": 0,
"w": 4,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "count(up{job!~\"vllm|llamacpp\"} == 0) or vector(0)",
"legendFormat": ""
}
],
"fieldConfig": {
"defaults": {
"unit": "none",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 1
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 5,
"type": "stat",
"title": "Aktive Alerts",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 16,
"y": 0,
"w": 4,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "count(ALERTS{alertstate=\"firing\"}) or vector(0)",
"legendFormat": ""
}
],
"fieldConfig": {
"defaults": {
"unit": "none",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 1
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 6,
"type": "stat",
"title": "Slots verfügbar",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 20,
"y": 0,
"w": 4,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "sum(knaster_slot_available) or vector(0)",
"legendFormat": ""
}
],
"fieldConfig": {
"defaults": {
"unit": "none",
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 7,
"type": "stat",
"title": "Knoten",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 0,
"y": 4,
"w": 12,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "max by (id) (pve_up{id=~\"node/.*\"})",
"legendFormat": "{{id}}"
}
],
"fieldConfig": {
"defaults": {
"mappings": [
{
"type": "value",
"options": {
"0": {
"text": "aus",
"color": "red"
},
"1": {
"text": "an",
"color": "green"
}
}
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "green",
"value": 1
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 8,
"type": "stat",
"title": "GPU-VMs und infra (node_exporter)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 12,
"y": 4,
"w": 12,
"h": 4
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "up{job=~\"node|infra-node\"}",
"legendFormat": "{{instance}}"
}
],
"fieldConfig": {
"defaults": {
"mappings": [
{
"type": "value",
"options": {
"0": {
"text": "aus",
"color": "red"
},
"1": {
"text": "an",
"color": "green"
}
}
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "green",
"value": 1
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 9,
"type": "timeseries",
"title": "CPU je Knoten",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 0,
"y": 8,
"w": 12,
"h": 7
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "max by (id) (pve_cpu_usage_ratio{id=~\"node/.*\"})",
"legendFormat": "{{id}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "percentunit",
"min": 0,
"max": 1
},
"overrides": []
}
},
{
"id": 10,
"type": "timeseries",
"title": "RAM je Knoten",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 12,
"y": 8,
"w": 12,
"h": 7
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "max by (id) (pve_memory_usage_bytes{id=~\"node/.*\"}) / max by (id) (pve_memory_size_bytes{id=~\"node/.*\"})",
"legendFormat": "{{id}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "percentunit",
"min": 0,
"max": 1
},
"overrides": []
}
},
{
"id": 11,
"type": "timeseries",
"title": "GPU-Temperatur",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 0,
"y": 15,
"w": 8,
"h": 8
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "max by (instance, name, uuid) (nvidia_smi_temperature_gpu)",
"legendFormat": "{{instance}} {{name}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "celsius"
},
"overrides": []
}
},
{
"id": 12,
"type": "timeseries",
"title": "GPU-Auslastung",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 8,
"y": 15,
"w": 8,
"h": 8
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "max by (instance, name, uuid) (nvidia_smi_utilization_gpu_ratio)",
"legendFormat": "{{instance}} {{name}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "percentunit",
"min": 0,
"max": 1
},
"overrides": []
}
},
{
"id": 13,
"type": "timeseries",
"title": "GPU-Speicher belegt",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 16,
"y": 15,
"w": 8,
"h": 8
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "max by (instance, name, uuid) (nvidia_smi_memory_used_bytes / nvidia_smi_memory_total_bytes)",
"legendFormat": "{{instance}} {{name}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "percentunit",
"min": 0,
"max": 1
},
"overrides": []
}
},
{
"id": 14,
"type": "stat",
"title": "Slots (Router)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 0,
"y": 23,
"w": 12,
"h": 5
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "knaster_slot_available",
"legendFormat": "{{slot}}"
}
],
"fieldConfig": {
"defaults": {
"mappings": [
{
"type": "value",
"options": {
"0": {
"text": "aus",
"color": "red"
},
"1": {
"text": "an",
"color": "green"
}
}
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "green",
"value": 1
}
]
}
},
"overrides": []
},
"options": {
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"colorMode": "background",
"graphMode": "none",
"textMode": "auto"
}
},
{
"id": 15,
"type": "table",
"title": "Aktive Alerts",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"gridPos": {
"x": 12,
"y": 23,
"w": 12,
"h": 5
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"refId": "A",
"expr": "ALERTS{alertstate=\"firing\"}",
"legendFormat": "",
"instant": true,
"format": "table"
}
],
"transformations": [
{
"id": "organize",
"options": {
"excludeByName": {
"Time": true,
"Value": true,
"__name__": true,
"alertstate": true
}
}
}
]
}
],
"templating": {
"list": []
},
"annotations": {
"list": []
}
}
File diff suppressed because it is too large Load Diff
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@@ -0,0 +1,16 @@
# Dashboards aus deploy/grafana/dashboards (im Container /var/lib/grafana/dashboards).
# Herkunft der Community-Dashboards (grafana.com, geladen am 12.10.2026; ${DS_PROMETHEUS} → uid prometheus, __inputs entfernt):
# proxmox.json ID 10347 „Proxmox via Prometheus“ Revision 5 (für prometheus-pve-exporter)
# node-exporter-full.json ID 1860 „Node Exporter Full“ Revision 45
# nvidia-gpu.json ID 14574 „Nvidia GPU Metrics“ Revision 15 (für utkuozdemir/nvidia_gpu_exporter)
# knaster-uebersicht.json eigenes Dashboard (Startseite, für den Kiosk in Task 5.3)
apiVersion: 1
providers:
- name: knaster
folder: knaster
type: file
disableDeletion: true
allowUiUpdates: false
updateIntervalSeconds: 60
options:
path: /var/lib/grafana/dashboards
@@ -0,0 +1,10 @@
# Feste uid "prometheus": Die Dashboards in deploy/grafana/dashboards verweisen darauf.
apiVersion: 1
datasources:
- name: Prometheus
uid: prometheus
type: prometheus
access: proxy
url: http://prometheus:9090
isDefault: true
editable: false
+32 -26
View File
@@ -1,5 +1,8 @@
# Scrape-Ziele. Die Labels an den GPU-Zielen (slot, docker_host, container, pve_node, vmid) landen in den # Scrape-Ziele. Die Labels an den GPU-Zielen (slot, docker_host, container, pve_node, vmid) landen in den
# Alerts und damit beim Healer. Hostnamen = DNS-Namen der VMs (ANNAHME bis Deployment). # Alerts und damit beim Healer.
# GPU-VMs (job node, gpu): file_sd, weil die DHCP-Adressen wechseln (D5). Die Dateien erzeugt
# platform/proxmox/scripts/monitoring-targets.py auf ops aus `tofu output -json gpu_vms` und der Registry;
# die Ansible-Rolle infra-stack kopiert sie nach /opt/knaster/infra/file_sd (im Container /etc/knaster-sd).
global: global:
scrape_interval: 30s scrape_interval: 30s
evaluation_interval: 30s evaluation_interval: 30s
@@ -11,10 +14,17 @@ alerting:
- static_configs: [{targets: ["alertmanager:9093"]}] - static_configs: [{targets: ["alertmanager:9093"]}]
scrape_configs: scrape_configs:
- job_name: prometheus
static_configs: [{targets: ["localhost:9090"]}]
- job_name: alertmanager
static_configs: [{targets: ["alertmanager:9093"]}]
- job_name: knaster-router - job_name: knaster-router
metrics_path: /metrics metrics_path: /metrics
static_configs: [{targets: ["router:8080"]}] static_configs: [{targets: ["router:8080"]}]
# Ada-Rechner (Windows, D3): Anbindung über die Worker-Registry v2 (Task 6.4), bis dahin nicht erreichbar
- job_name: vllm - job_name: vllm
static_configs: static_configs:
- targets: ["gpu-main:8000"] - targets: ["gpu-main:8000"]
@@ -22,6 +32,7 @@ scrape_configs:
- targets: ["gpu-flex:8000"] - targets: ["gpu-flex:8000"]
labels: {slot: tier1-flex, docker_host: gpu-flex, container: vllm, pve_node: pve-ada, vmid: "202"} labels: {slot: tier1-flex, docker_host: gpu-flex, container: vllm, pve_node: pve-ada, vmid: "202"}
# llama.cpp-Slots kommen erst mit Phase 6 in die GPU-VMs; bis dahin nicht erreichbar (Platzhalter)
- job_name: llamacpp - job_name: llamacpp
static_configs: static_configs:
- targets: ["gpu-embed-1:8081"] - targets: ["gpu-embed-1:8081"]
@@ -31,36 +42,31 @@ scrape_configs:
- targets: ["gpu-small:8080"] - targets: ["gpu-small:8080"]
labels: {slot: verifier-small, docker_host: gpu-small, container: llamacpp-chat, pve_node: pve3, vmid: "231"} labels: {slot: verifier-small, docker_host: gpu-small, container: llamacpp-chat, pve_node: pve3, vmid: "231"}
# nvidia_gpu_exporter (nvidia-smi, auch für Maxwell/Pascal; DCGM kann Maxwell nicht) in jeder GPU-VM
- job_name: gpu - job_name: gpu
static_configs: file_sd_configs: [{files: [/etc/knaster-sd/gpu.json]}]
- targets: ["gpu-main:9835"]
labels: {slot: tier1-general, pve_node: pve-ada, vmid: "201"}
- targets: ["gpu-flex:9835"]
labels: {slot: tier1-flex, pve_node: pve-ada, vmid: "202"}
- targets: ["gpu-embed-1:9835"]
labels: {slot: embed-default, pve_node: pve3, vmid: "221"}
- targets: ["gpu-embed-2:9835"]
labels: {slot: embed-default, pve_node: pve4, vmid: "222"}
- targets: ["gpu-small:9835"]
labels: {slot: verifier-small, pve_node: pve3, vmid: "231"}
- job_name: node # Labels werden für GpuXidError → Healer (VM-Neustart) gebraucht # node_exporter in jeder GPU-VM; Labels werden für GpuXidError → Healer (VM-Neustart) gebraucht
static_configs: - job_name: node
- targets: ["gpu-main:9100"] file_sd_configs: [{files: [/etc/knaster-sd/node.json]}]
labels: {slot: tier1-general, pve_node: pve-ada, vmid: "201"}
- targets: ["gpu-flex:9100"]
labels: {slot: tier1-flex, pve_node: pve-ada, vmid: "202"}
- targets: ["gpu-embed-1:9100"]
labels: {slot: embed-default, pve_node: pve3, vmid: "221"}
- targets: ["gpu-embed-2:9100"]
labels: {slot: embed-default, pve_node: pve4, vmid: "222"}
- targets: ["gpu-small:9100"]
labels: {slot: verifier-small, pve_node: pve3, vmid: "231"}
# node_exporter im LXC infra selbst (Host-Netz des LXC)
- job_name: infra-node
static_configs:
- targets: ["host.docker.internal:9100"]
labels: {instance: infra}
# prometheus-pve-exporter: jeder Knoten liefert die Cluster-Sicht (cluster=1) und seine eigenen Werte (node=1).
# Alle fünf als Ziel, damit die Cluster-Sicht auch bei einem ausgefallenen Knoten bleibt (Dashboard wählt eine instance).
- job_name: proxmox - job_name: proxmox
metrics_path: /pve metrics_path: /pve
params: {module: [default]} params: {module: [default], cluster: ["1"], node: ["1"]}
static_configs: [{targets: ["pve1", "pve2", "pve3", "pve4", "pve-ada"]}] static_configs:
- {targets: ["192.168.100.210"], labels: {pve: pve44}}
- {targets: ["192.168.100.209"], labels: {pve: pve46}}
- {targets: ["192.168.100.212"], labels: {pve: pve48}}
- {targets: ["192.168.100.207"], labels: {pve: pve52}}
- {targets: ["192.168.100.214"], labels: {pve: pve61}}
relabel_configs: relabel_configs:
- {source_labels: [__address__], target_label: __param_target} - {source_labels: [__address__], target_label: __param_target}
- {source_labels: [__param_target], target_label: instance} - {source_labels: [__param_target], target_label: instance}
@@ -0,0 +1,10 @@
# file_sd-Ziele der GPU-VMs auffrischen, wenn sich DHCP-Adressen geändert haben. Auf ops:
# cd /root/cluster-knaster/platform/proxmox/tofu && . /root/.config/knaster/tofu.env && bash ../scripts/refresh-vm-access.sh
# cd ../ansible && ansible-playbook playbooks/monitoring-targets.yml
- name: Infra-LXC – file_sd-Ziele
hosts: infra
tasks:
- name: Ziele erzeugen und kopieren
ansible.builtin.include_role:
name: infra-stack
tasks_from: targets
@@ -0,0 +1,10 @@
# Nur Monitoring (Task 5.2), ohne Treiber-/Docker-Rollen der GPU-VMs (kein Docker-Neustart, kein Reboot).
# Aufruf auf ops (Verzeichnis platform/proxmox/ansible), vorher Adressen auffrischen (refresh-vm-access.sh):
# ansible-playbook playbooks/monitoring.yml
- name: GPU-VMs – Exporter (node_exporter, nvidia_gpu_exporter)
hosts: gpu_vms
roles: [gpu-exporters]
- name: Infra-LXC – Compose-Stack mit Monitoring
hosts: infra
roles: [infra-stack]
+4 -3
View File
@@ -19,8 +19,9 @@
eth0: eth0:
dhcp-identifier: mac dhcp-identifier: mac
mode: "0600" mode: "0600"
roles: [docker-host, gpu-node] roles: [docker-host, gpu-node, gpu-exporters]
- name: Infra-LXC (Docker) # Nur Monitoring ohne Treiber/Neustart der GPU-VMs: playbooks/monitoring.yml
- name: Infra-LXC (Docker, Compose-Stack mit Monitoring)
hosts: infra hosts: infra
roles: [docker-host] roles: [docker-host, infra-stack]
@@ -0,0 +1,10 @@
# Monitoring-Exporter in den GPU-VMs (Task 5.2). Ziele erzeugt monitoring-targets.py als file_sd.
# node_exporter aus Ubuntu (24.04: 1.7.x), liest die Xid-Zähler aus dem Textfile-Verzeichnis (Rolle gpu-node)
gpu_exporters_textfile_dir: /var/lib/node_exporter/textfile
# nvidia_gpu_exporter (nvidia-smi statt DCGM/NVML: läuft auch mit Maxwell/Pascal), Port 9835
nvidia_gpu_exporter_version: "1.15.1"
# sha256 aus checksums.txt des Releases v1.15.1 (am 12.10.2026 gegen die Datei geprüft)
nvidia_gpu_exporter_sha256: 0dc8c2756c6853ec7e6a7c404b229d8f764443bef89f33e13b3c4278b309acd4
# ufw: nur eigene allow-Regeln hinzufügen (Kommentar knaster-monitoring), ufw nie ein- oder ausschalten
gpu_exporters_allow_from: 192.168.100.0/24
gpu_exporters_ports: [9100, 9835]
@@ -0,0 +1,4 @@
- name: restart node-exporter
ansible.builtin.service:
name: prometheus-node-exporter
state: restarted
@@ -0,0 +1,60 @@
# Bewusst getrennt von gpu-node: kein Treiber, kein Docker-Neustart, kein Reboot.
- name: node_exporter installieren (ohne Zusatz-Collectors)
ansible.builtin.apt:
name: prometheus-node-exporter
state: present
install_recommends: false
update_cache: true
cache_valid_time: 3600
- name: Textfile-Verzeichnis (Xid-Zähler aus gpu-xid-textfile.sh)
ansible.builtin.file:
path: "{{ gpu_exporters_textfile_dir }}"
state: directory
mode: "0755"
- name: node_exporter liest das Textfile-Verzeichnis
ansible.builtin.lineinfile:
path: /etc/default/prometheus-node-exporter
regexp: '^ARGS='
line: 'ARGS="--collector.textfile.directory={{ gpu_exporters_textfile_dir }}"'
notify: restart node-exporter
- name: node_exporter aktiv
ansible.builtin.service:
name: prometheus-node-exporter
state: started
enabled: true
- name: nvidia_gpu_exporter herunterladen (Prüfsumme fest)
ansible.builtin.get_url:
url: "https://github.com/utkuozdemir/nvidia_gpu_exporter/releases/download/v{{ nvidia_gpu_exporter_version }}/nvidia-gpu-exporter_{{ nvidia_gpu_exporter_version }}_linux_amd64.deb"
dest: "/var/cache/apt/archives/nvidia-gpu-exporter_{{ nvidia_gpu_exporter_version }}_linux_amd64.deb"
checksum: "sha256:{{ nvidia_gpu_exporter_sha256 }}"
mode: "0644"
- name: nvidia_gpu_exporter installieren
ansible.builtin.apt:
deb: "/var/cache/apt/archives/nvidia-gpu-exporter_{{ nvidia_gpu_exporter_version }}_linux_amd64.deb"
- name: nvidia_gpu_exporter aktiv
ansible.builtin.service:
name: nvidia_gpu_exporter
state: started
enabled: true
- name: Ist ufw vorhanden?
ansible.builtin.stat:
path: /usr/sbin/ufw
register: ufw_bin
# Regeln wirken auch bei inaktivem ufw (werden vorgemerkt). Fremde Regeln bleiben unberührt.
- name: ufw – Exporter-Ports aus dem LAN erlauben
community.general.ufw:
rule: allow
src: "{{ gpu_exporters_allow_from }}"
port: "{{ item | string }}"
proto: tcp
comment: knaster-monitoring
loop: "{{ gpu_exporters_ports }}"
when: ufw_bin.stat.exists
@@ -0,0 +1,29 @@
# Compose-Stack im LXC infra (Task 5.2). Repo-Auszug und Zustand liegen getrennt:
# infra_repo_dir Kopie der nötigen Repo-Teile von ops (wird bei jedem Lauf abgeglichen, --delete)
# infra_state_dir .env (0600, Geheimnisse), secrets/, file_sd/ – nie im Repo, nie überschrieben
infra_repo_src: "{{ playbook_dir }}/../../../.."
infra_repo_dir: /opt/knaster/repo
infra_state_dir: /opt/knaster/infra
infra_compose_project: knaster-infra
infra_compose_file: "{{ infra_repo_dir }}/deploy/compose/infra/docker-compose.yml"
# Einstellungen in .env (keine Geheimnisse). Änderungen hier, nicht im Container.
infra_settings:
KNASTER_VERSION: dev
KNASTER_SITE: "{{ knaster_site }}"
KNASTER_STATE_DIR: "{{ infra_state_dir }}"
KNASTER_DRY_RUN: "true" # Global Constraint: erst nach einer Woche Beobachtung einzeln freischalten
KNASTER_CANARY_INTERVAL: "60"
# D4: LiteLLM mit PSE auf appsrv08. TODO (Nutzer, Task 6.3): Port ist dort noch nicht im LAN veröffentlicht.
LITELLM_BASE_URL: http://192.168.100.29:4000
# Geheimnisse: werden im Container einmalig mit `openssl rand -hex 24` erzeugt und danach nie geändert
# (Postgres- und Grafana-Admin-Passwort wirken nur bei der Erstinitialisierung).
infra_secrets: [POSTGRES_PASSWORD, KNASTER_API_TOKEN, GRAFANA_ADMIN_PASSWORD, GRAFANA_KIOSK_PASSWORD]
# Lese-Token monitoring@pve!prom (PVEAuditor) auf ops
infra_pve_exporter_env: /root/.config/knaster/pve-exporter.env
# file_sd: auf ops aus `tofu output -json gpu_vms` erzeugt (nicht im Repo)
infra_tofu_dir: "{{ playbook_dir }}/../../tofu"
infra_targets_dir: "{{ playbook_dir }}/../monitoring-targets.generated"
@@ -0,0 +1,134 @@
# Compose-Stack infra: Router, TTS, Postgres, Prometheus, Alertmanager, Grafana, pve-exporter, node-exporter.
# Idempotent: Geheimnisse nur anlegen, wenn sie fehlen; compose up ändert nur, was sich geändert hat.
- name: Werkzeuge
ansible.builtin.apt:
name: [rsync, openssl, curl]
state: present
update_cache: true
cache_valid_time: 3600
- name: Verzeichnisse
ansible.builtin.file:
path: "{{ item.path }}"
state: directory
mode: "{{ item.mode }}"
loop:
- {path: /opt/knaster, mode: "0755"}
- {path: "{{ infra_repo_dir }}", mode: "0755"}
- {path: "{{ infra_state_dir }}", mode: "0700"}
- {path: "{{ infra_state_dir }}/secrets", mode: "0700"}
# Nur die Teile, die Build und Konfiguration brauchen. Nie .git, .venv, tofu-State oder .env-Dateien.
- name: Repo-Auszug von ops abgleichen
ansible.posix.synchronize:
src: "{{ infra_repo_src }}/"
dest: "{{ infra_repo_dir }}/"
delete: true
rsync_opts:
- "--exclude=__pycache__"
- "--exclude=.pytest_cache"
- "--exclude=*.egg-info"
- "--exclude=.env"
- "--exclude=secrets/"
- "--include=/core/***"
- "--include=/config/***"
- "--include=/catalog/***"
- "--include=/skills/***"
- "--include=/sites/***"
- "--include=/deploy/***"
- "--exclude=*"
- name: Einstellungen in .env
ansible.builtin.lineinfile:
path: "{{ infra_state_dir }}/.env"
regexp: "^{{ item.key }}="
line: "{{ item.key }}={{ item.value }}"
create: true
mode: "0600"
loop: "{{ infra_settings | dict2items }}"
# Gibt nur Namen aus, nie Werte
- name: Fehlende Geheimnisse im Container erzeugen
ansible.builtin.shell: |
set -eu
umask 077
f={{ infra_state_dir }}/.env
for k in {{ infra_secrets | join(' ') }}; do
grep -q "^$k=" "$f" || { echo "$k=$(openssl rand -hex 24)" >> "$f"; echo "neu: $k"; }
done
chmod 0600 "$f"
args:
executable: /bin/bash
register: secrets_gen
changed_when: "'neu:' in secrets_gen.stdout"
- name: Router-Token für Alertmanager (= KNASTER_API_TOKEN, lesbar für nobody im Container)
ansible.builtin.shell: |
set -eu
umask 077
cd {{ infra_state_dir }}
v=$(sed -n 's/^KNASTER_API_TOKEN=//p' .env)
t=secrets/router_token
if [ ! -f "$t" ] || [ "$(cat "$t")" != "$v" ]; then printf '%s' "$v" > "$t"; echo geändert; fi
chown 65534:65534 "$t"
chmod 0400 "$t"
args:
executable: /bin/bash
register: router_token
changed_when: "'geändert' in router_token.stdout"
no_log: true
- name: Proxmox-Lese-Token für den pve-exporter
ansible.builtin.copy:
src: "{{ infra_pve_exporter_env }}"
dest: "{{ infra_state_dir }}/secrets/pve-exporter.env"
mode: "0600"
no_log: true
- name: file_sd-Ziele
ansible.builtin.include_tasks: targets.yml
- name: Stack bauen und starten
ansible.builtin.command: >
docker compose -p {{ infra_compose_project }} --env-file {{ infra_state_dir }}/.env
-f {{ infra_compose_file }} up -d --build --remove-orphans
register: compose_up
changed_when: compose_up.stderr is search('Container \S+\s+(Created|Recreated|Started)')
- name: Prometheus und Alertmanager laden geänderte Konfiguration (bind-mount, kein Neustart nötig)
ansible.builtin.command: "curl -fsS -m 10 -X POST http://127.0.0.1:{{ item }}/-/reload"
loop: [9090, 9093]
register: reload
retries: 15
delay: 4
until: reload.rc == 0
changed_when: false
- name: Grafana-Konto kiosk (Viewer) anlegen, Passwort aus .env
ansible.builtin.shell: |
set -eu
cd {{ infra_state_dir }}
A=$(sed -n 's/^GRAFANA_ADMIN_PASSWORD=//p' .env)
K=$(sed -n 's/^GRAFANA_KIOSK_PASSWORD=//p' .env)
umask 077
cfg=$(mktemp)
trap 'rm -f "$cfg"' EXIT
printf 'user = "admin:%s"\n' "$A" > "$cfg" # Passwort nicht in der Prozessliste
g() { curl -sS -K "$cfg" -H 'Content-Type: application/json' "$@"; }
for i in $(seq 60); do curl -fsS -m 3 http://127.0.0.1:3000/api/health >/dev/null 2>&1 && break; sleep 2; done
code=$(g -o /dev/null -w '%{http_code}' 'http://127.0.0.1:3000/api/users/lookup?loginOrEmail=kiosk')
if [ "$code" = 404 ]; then
printf '{"name":"Kiosk","login":"kiosk","password":"%s"}' "$K" \
| g -f -X POST --data @- http://127.0.0.1:3000/api/admin/users >/dev/null
echo angelegt
elif [ "$code" != 200 ]; then
echo "Grafana-API antwortet $code" >&2
exit 1
fi
id=$(g -f 'http://127.0.0.1:3000/api/users/lookup?loginOrEmail=kiosk' | python3 -c 'import json,sys; print(json.load(sys.stdin)["id"])')
g -f -X PATCH --data '{"role":"Viewer"}' "http://127.0.0.1:3000/api/org/users/$id" >/dev/null
args:
executable: /bin/bash
register: kiosk
changed_when: "'angelegt' in kiosk.stdout"
no_log: true
@@ -0,0 +1,26 @@
# file_sd-Ziele der GPU-VMs. Auch einzeln aufrufbar: playbooks/monitoring-targets.yml
# (nach refresh-vm-access.sh, wenn sich DHCP-Adressen geändert haben). Prometheus liest die Dateien selbst neu.
- name: file_sd-Ziele aus tofu output erzeugen (auf ops)
ansible.builtin.shell: |
set -euo pipefail
tofu output -json gpu_vms | python3 {{ infra_repo_src }}/platform/proxmox/scripts/monitoring-targets.py \
--registry {{ infra_repo_src }}/sites/{{ knaster_site }}/registry.yaml --out {{ infra_targets_dir }}
args:
chdir: "{{ infra_tofu_dir }}"
executable: /bin/bash
delegate_to: localhost
run_once: true
changed_when: false
- name: file_sd-Verzeichnis
ansible.builtin.file:
path: "{{ infra_state_dir }}/file_sd"
state: directory
mode: "0755"
- name: file_sd-Ziele in den Container kopieren
ansible.builtin.copy:
src: "{{ infra_targets_dir }}/{{ item }}.json"
dest: "{{ infra_state_dir }}/file_sd/{{ item }}.json"
mode: "0644"
loop: [node, gpu]
@@ -0,0 +1,80 @@
#!/usr/bin/env python3
"""Prometheus-file_sd-Ziele für die GPU-VMs erzeugen (läuft auf ops).
Die GPU-VMs bekommen ihre Adressen per DHCP (D5), deshalb stehen sie nicht fest in prometheus.yml.
Eingabe ist `tofu output -json gpu_vms` (stdin), dazu die Registry für die Slot-Labels des Healers.
tofu output -json gpu_vms | python3 monitoring-targets.py --registry sites/knaster/registry.yaml --out DIR
Schreibt DIR/node.json (node_exporter, Port 9100) und DIR/gpu.json (nvidia_gpu_exporter, Port 9835).
Labels je Ziel: instance (VM-Name, bleibt bei IP-Wechsel gleich), vm, pve_node, vmid, slot, slots.
`slot` ist der erste Slot der Registry mit dieser vmid (Reihenfolge der Registry), `slots` alle,
kommagetrennt. VMs ohne Slot bekommen slot="none" (der Healer markiert dann keinen echten Slot).
"""
from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
import yaml
PORTS = {"node": 9100, "gpu": 9835}
def slots_by_vmid(registry: dict) -> dict[str, list[str]]:
out: dict[str, list[str]] = {}
for name, slot in (registry.get("slots") or {}).items():
vmid = str((slot.get("ops") or {}).get("vmid", ""))
if vmid:
out.setdefault(vmid, []).append(name)
return out
def build_targets(gpu_vms: dict, registry: dict) -> dict[str, list[dict]]:
by_vmid = slots_by_vmid(registry)
result: dict[str, list[dict]] = {job: [] for job in PORTS}
for name in sorted(gpu_vms):
vm = gpu_vms[name]
if not vm.get("ipv4"):
print(f"Warnung: {name} hat keine IPv4 (Gast-Agent?), übersprungen", file=sys.stderr)
continue
vmid = str(vm["vmid"])
slots = by_vmid.get(vmid, [])
labels = {
"instance": name,
"vm": name,
"pve_node": vm["node"],
"vmid": vmid,
"slot": slots[0] if slots else "none",
"slots": ",".join(slots),
}
for job, port in PORTS.items():
result[job].append({"targets": [f"{vm['ipv4']}:{port}"], "labels": labels})
return result
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__.splitlines()[0])
ap.add_argument("--registry", required=True, type=Path)
ap.add_argument("--out", required=True, type=Path)
args = ap.parse_args()
gpu_vms = json.load(sys.stdin)
registry = yaml.safe_load(args.registry.read_text(encoding="utf-8"))
targets = build_targets(gpu_vms, registry)
args.out.mkdir(parents=True, exist_ok=True)
for job, entries in targets.items():
path = args.out / f"{job}.json"
tmp = path.with_suffix(".tmp")
tmp.write_text(json.dumps(entries, indent=2, sort_keys=True) + "\n", encoding="utf-8")
tmp.replace(path)
print(f"{path}: {len(entries)} Ziele")
return 0 if targets["node"] else 1
if __name__ == "__main__":
sys.exit(main())