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global:
  scrape_interval: 10s
  evaluation_interval: 10s

scrape_configs:
  - job_name: 'nats-prometheus-exporter'
    scrape_interval: 2s
    static_configs:
      - targets: ['nats-prometheus-exporter:7777']  # on the "monitoring" network

  - job_name: 'etcd-server'
    scrape_interval: 2s
    static_configs:
      - targets: ['etcd-server:2379']  # etcd-server is on the "monitoring" network

  - job_name: 'dcgm-exporter'
    scrape_interval: 5s
    static_configs:
      - targets: ['dcgm-exporter:9401']  # on the "monitoring" network

  # This is a demo service that needs to be launched manually
  # Note that you may need to disable the firewall on your host. On Ubuntu: sudo ufw allow 8000/tcp
  # You can also force the port, if the default is different: python -m dynamo.frontend --http-port 8000
  - job_name: 'dynamo-frontend'
    scrape_interval: 10s
    static_configs:
      - targets: ['host.docker.internal:8000']  # on the "monitoring" network

  # Launch via: DYN_SYSTEM_PORT=8081 dynamo.<backend> ...
  # If you want to update the scrape_interval, you may want to also update component.rs's MAX_DELAY
  - job_name: 'dynamo-backend'
    scrape_interval: 6s
    static_configs:
      - targets: ['host.docker.internal:8081']

  # NIXL Prometheus metrics (requires env on the worker: NIXL_TELEMETRY_ENABLE=y,
  # NIXL_TELEMETRY_EXPORTER=prometheus, NIXL_TELEMETRY_PROMETHEUS_PORT=19090).
  # Compose Prometheus reaches the host via host.docker.internal (see docker-observability.yml).
  - job_name: 'dynamo-nixl'
    scrape_interval: 1s
    static_configs:
      - targets: ['host.docker.internal:19090']


  # KVBM leader related metrics
  - job_name: 'kvbm-metrics'
    scrape_interval: 2s
    static_configs:
      - targets: ['host.docker.internal:6880']

  # Uncomment to see its own Prometheus metrics
  # - job_name: 'prometheus'
  #   scrape_interval: 5s
  #   static_configs:
  #     - targets: ['prometheus:9090']  # on the "monitoring" network