sites: Inventar und Zielbild an echte Knoten (pve44–pve61) angepasst; ADR-0001/0002/0006 ergänzt
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Aufbauplan Task 0.4: - inventory.yaml: pve44/46/48/52/61 und GODE-PC-05/06 (Ada, Windows, cpu_roles: false) - proxmox.yaml: eine GPU-VM pro Knoten mit allen Karten (D2), local-lvm/tank (D1 B), 192.168.100.0/24 ohne VLAN, Gast-IPs .220–.239 (ANNAHME bis Task 0.2) - registry.yaml/prometheus.yml: ops-Labels auf gpu-pve44/46/48, Ada ohne pve_node/vmid - tofu: dynamische hostpci, Speicher je Gast; Ansible: pve_gpu_hosts/pve_kiosk, Replikation auf mehrere Ziele - Placement: cpu_roles=false schließt Arbeitsplätze/Kiosk von CPU-Rollen aus - PLAN §1.3/§1.4/§9 und ADR-Nachträge (D1 entschieden, D2/D3 Bestätigung offen) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Claude Opus 5.5
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# Scrape-Ziele. Die Labels an den GPU-Zielen (slot, docker_host, container, pve_node, vmid) landen in den
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# Alerts und damit beim Healer. Hostnamen = DNS-Namen der VMs (ANNAHME bis Deployment).
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# Alerts und damit beim Healer. IP-Literale aus sites/knaster/proxmox.yaml (Global Constraints, Aufbauplan).
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# ANNAHME bis Task 0.2 (Gast-IPs) und Task 3.3 (welcher Slot auf welcher P2000 läuft).
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# Ada-Worker (GODE-PC-05/06, Windows, D3) werden nicht gescrapt: ihre Verfügbarkeit meldet die
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# Worker-Registry v2 (Task 6.4), der Canary-Prober des Routers prüft die Slots zusätzlich.
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global:
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scrape_interval: 30s
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evaluation_interval: 30s
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@@ -15,52 +18,45 @@ scrape_configs:
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metrics_path: /metrics
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static_configs: [{targets: ["router:8080"]}]
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- job_name: vllm
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static_configs:
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- targets: ["gpu-main:8000"]
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labels: {slot: tier1-general, docker_host: gpu-main, container: vllm, pve_node: pve-ada, vmid: "201"}
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- targets: ["gpu-flex:8000"]
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labels: {slot: tier1-flex, docker_host: gpu-flex, container: vllm, pve_node: pve-ada, vmid: "202"}
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# Erstes Ziel je Slot = Healer-Ziel in sites/knaster/registry.yaml (ops)
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- job_name: llamacpp
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static_configs:
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- targets: ["gpu-embed-1:8081"]
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labels: {slot: embed-default, docker_host: gpu-embed-1, container: llamacpp-embed, pve_node: pve3, vmid: "221"}
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- targets: ["gpu-embed-1:8082"]
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labels: {slot: rerank-default, docker_host: gpu-embed-1, container: llamacpp-rerank, pve_node: pve3, vmid: "221"}
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- targets: ["gpu-small:8080"]
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labels: {slot: verifier-small, docker_host: gpu-small, container: llamacpp-chat, pve_node: pve3, vmid: "231"}
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- targets: ["192.168.100.224:8081"]
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labels: {slot: embed-default, docker_host: gpu-pve44, container: llamacpp-embed, pve_node: pve44, vmid: "244"}
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- targets: ["192.168.100.226:8081"]
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labels: {slot: embed-default, docker_host: gpu-pve46, container: llamacpp-embed, pve_node: pve46, vmid: "246"}
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- targets: ["192.168.100.224:8082"]
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labels: {slot: rerank-default, docker_host: gpu-pve44, container: llamacpp-rerank, pve_node: pve44, vmid: "244"}
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- targets: ["192.168.100.228:8080"]
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labels: {slot: verifier-small, docker_host: gpu-pve48, container: llamacpp-chat, pve_node: pve48, vmid: "248"}
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- job_name: gpu
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static_configs:
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- targets: ["gpu-main:9835"]
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labels: {slot: tier1-general, pve_node: pve-ada, vmid: "201"}
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- targets: ["gpu-flex:9835"]
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labels: {slot: tier1-flex, pve_node: pve-ada, vmid: "202"}
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- targets: ["gpu-embed-1:9835"]
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labels: {slot: embed-default, pve_node: pve3, vmid: "221"}
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- targets: ["gpu-embed-2:9835"]
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labels: {slot: embed-default, pve_node: pve4, vmid: "222"}
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- targets: ["gpu-small:9835"]
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labels: {slot: verifier-small, pve_node: pve3, vmid: "231"}
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- targets: ["192.168.100.224:9835"]
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labels: {slot: embed-default, pve_node: pve44, vmid: "244"}
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- targets: ["192.168.100.226:9835"]
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labels: {slot: embed-default, pve_node: pve46, vmid: "246"}
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- targets: ["192.168.100.228:9835"]
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labels: {slot: verifier-small, pve_node: pve48, vmid: "248"}
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- targets: ["192.168.100.232:9835"]
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labels: {slot: "", pve_node: pve52, vmid: "252"} # nur M4000, außer Betrieb bis Task 3.3
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- job_name: node # Labels werden für GpuXidError → Healer (VM-Neustart) gebraucht
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static_configs:
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- targets: ["gpu-main:9100"]
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labels: {slot: tier1-general, pve_node: pve-ada, vmid: "201"}
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- targets: ["gpu-flex:9100"]
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labels: {slot: tier1-flex, pve_node: pve-ada, vmid: "202"}
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- targets: ["gpu-embed-1:9100"]
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labels: {slot: embed-default, pve_node: pve3, vmid: "221"}
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- targets: ["gpu-embed-2:9100"]
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labels: {slot: embed-default, pve_node: pve4, vmid: "222"}
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- targets: ["gpu-small:9100"]
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labels: {slot: verifier-small, pve_node: pve3, vmid: "231"}
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- targets: ["192.168.100.224:9100"]
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labels: {slot: embed-default, pve_node: pve44, vmid: "244"}
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- targets: ["192.168.100.226:9100"]
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labels: {slot: embed-default, pve_node: pve46, vmid: "246"}
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- targets: ["192.168.100.228:9100"]
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labels: {slot: verifier-small, pve_node: pve48, vmid: "248"}
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- targets: ["192.168.100.232:9100"]
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labels: {slot: "", pve_node: pve52, vmid: "252"}
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- job_name: proxmox
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metrics_path: /pve
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params: {module: [default]}
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static_configs: [{targets: ["pve1", "pve2", "pve3", "pve4", "pve-ada"]}]
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static_configs:
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- targets: ["192.168.100.210", "192.168.100.209", "192.168.100.212", "192.168.100.207", "192.168.100.214"]
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relabel_configs:
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- {source_labels: [__address__], target_label: __param_target}
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- {source_labels: [__param_target], target_label: instance}
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