Robert Helewka
acf3419450
- Drop `FREECAD_MCP_` prefix from env vars (use `FREECAD_*`) - Update freecad_mcp port from 22032 to 22061 - Document that FreeCAD bridge is required for tool calls - Replace kottos deployment with pallas deployment
110 lines
3.8 KiB
Django/Jinja
110 lines
3.8 KiB
Django/Jinja
global:
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scrape_interval: {{ prometheus_scrape_interval }}
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evaluation_interval: {{ prometheus_evaluation_interval }}
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alerting:
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alertmanagers:
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- static_configs:
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- targets:
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- {{ alertmanager_host }}:{{ alertmanager_port }}
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rule_files:
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- "alert_rules.yml"
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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: 'node-exporter'
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static_configs:
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- targets: {{ prometheus_targets | to_json }}
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- job_name: 'alertmanager'
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static_configs:
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- targets: ['{{ alertmanager_host }}:{{ alertmanager_port }}']
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- job_name: 'haproxy'
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static_configs:
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- targets: ['titania.incus:8404']
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metrics_path: '/metrics'
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- job_name: 'gitea'
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static_configs:
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- targets: ['oberon.incus:22084']
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metrics_path: '/metrics'
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authorization:
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type: Bearer
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credentials: '{{ vault_gitea_metrics_token }}'
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- job_name: 'casdoor'
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static_configs:
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- targets: ['{{ casdoor_metrics_host }}:{{ casdoor_metrics_port }}']
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metrics_path: '/api/metrics'
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params:
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accessKey: ['{{ casdoor_prometheus_access_key }}']
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accessSecret: ['{{ casdoor_prometheus_access_secret }}']
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- job_name: 'daedalus'
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static_configs:
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- targets: ['{{ daedalus_metrics_host }}:{{ daedalus_metrics_port }}']
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metrics_path: '/metrics'
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scrape_interval: 15s
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# Mnemosyne — app exposes /metrics on the Django container (proxied via
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# nginx); a single prometheus_client process registry serves both
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# django-prometheus (HTTP/Celery) and the MCP server's tool-call counters
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# (the mcp container itself does not expose /metrics). Web is an
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# nginx-prometheus-exporter sidecar that scrapes the web container's
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# stub_status and re-exposes it in Prometheus format.
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- job_name: 'mnemosyne'
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metrics_path: '/metrics'
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scrape_interval: 15s
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static_configs:
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- targets: ['{{ mnemosyne_app_metrics_host }}:{{ mnemosyne_app_metrics_port }}']
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labels:
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component: app
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- targets: ['{{ mnemosyne_web_metrics_host }}:{{ mnemosyne_web_metrics_port }}']
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labels:
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component: web
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# Athena — same shape as Mnemosyne: the Django container exposes /metrics
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# (django-prometheus) proxied via nginx on the app port; a separate
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# nginx-prometheus-exporter sidecar re-exposes the web container's
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# stub_status in Prometheus format on the web-metrics port.
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- job_name: 'athena'
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metrics_path: '/metrics'
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scrape_interval: 15s
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static_configs:
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- targets: ['{{ athena_app_metrics_host }}:{{ athena_app_metrics_port }}']
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labels:
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component: app
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- targets: ['{{ athena_web_metrics_host }}:{{ athena_web_metrics_port }}']
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labels:
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component: web
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# Pallas — each deployment is one scrape target (registry port).
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# Pallas uses a single process-global registry, so per-agent /metrics
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# endpoints serve the same snapshot; the `agent` dimension is carried
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# as a metric label, not a target. Targets are defined per
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# environment in pallas_metrics_targets (host_vars on the Prometheus
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# host); instances are differentiated by the `instance` label.
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{% if pallas_metrics_targets | default([]) %}
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- job_name: 'pallas'
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metrics_path: '/metrics'
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scrape_interval: 15s
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static_configs: {{ pallas_metrics_targets | to_json }}
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{% endif %}
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# Neo4j — stscoundrel/neo4j-apoc-exporter sidecar connects to the local
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# Neo4j over Bolt and exposes apoc.monitor.* (tx/ids/store) plus JVM
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# metrics. Targets are listed per-environment in neo4j_metrics_targets
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# (host_vars on the Prometheus host) — instances are differentiated by
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# hostname only.
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- job_name: 'neo4j'
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static_configs:
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- targets: {{ neo4j_metrics_targets | to_json }}
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metrics_path: '/metrics'
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scrape_interval: 15s
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