Two endpoints are exposed: one for the Weave Net router, and, when deployed as a Kubernetes Addon, one for the network policy controller.

Router Metrics

  • weave_connections - Number of peer-to-peer connections.
  • weave_connection_terminations_total - Number of peer-to-peer connections terminated.
  • weave_ips - Number of IP addresses.
  • weave_max_ips - Size of IP address space used by allocator.
  • weave_dns_entries - Number of DNS entries.
  • weave_flows - Number of FastDP flows.
  • weave_ipam_unreachable_count - Number of unreachable peers that own IPAM addresses.
  • weave_ipam_unreachable_percentage - Percentage of all IP addresses owned by unreachable peers.
  • weave_ipam_pending_allocates - Number of pending allocates.
  • weave_ipam_pending_claims - Number of pending claims.

Kubernetes Network Policy Controller Metrics

The following metric is exposed:

  • weavenpc_blocked_connections_total - Connection attempts blocked by policy controller.

Metrics Endpoint Addresses

When installed as a Kubernetes Addon, the router listens for metrics requests on 0.0.0.0:6782 and the Network Policy Controller listens on 0.0.0.0:6781. No other requests are served on these endpoints.

Note: If your Kubernetes hosts are exposed to the public internet then these metrics endpoints will also be exposed.

When started via weave launch, by default weave listens on its local interface to serve metrics and other read-only status requests. To publish your metrics throughout your cluster, you can set WEAVE_STATUS_ADDR:

WEAVE_STATUS_ADDR=X.X.X.X:PORT

Set it to an empty string to disable.

You can also pass the parameter --metrics-addr=X.X.X.X:PORT to weave launch to specify an address to listen for metrics only.

Static Configuration for Weave Net

The following YAML fragment can be used in your Prometheus configuration to scrape the router metrics endpoint:

scrape_configs:
- job_name: 'weave'
  scrape_interval: 15s
  static_configs:
  - targets: ['localhost:6782']

Discovery Configuration for Kubernetes

If you’re running Weave in conjunction with Kubernetes, it is possible to discover the endpoints for all nodes automatically. The following Kubernetes config will install and configure Prometheus 1.3 on your cluster and configure it to discover and scrape the Weave endpoints:

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus
data:
  prometheus.yml: |-
    global:
      scrape_interval: 15s
    scrape_configs:
    - job_name: 'weave'
      kubernetes_sd_configs:
      - api_server:
        role: pod
      relabel_configs:
      - source_labels: [__meta_kubernetes_namespace,__meta_kubernetes_pod_label_name]
        action: keep
        regex: ^kube-system;weave-net$
      - source_labels: [__meta_kubernetes_pod_container_name,__address__]
        action: replace
        target_label: __address__
        regex: ^weave;(.+?)(?::\d+)?$
        replacement: $1:6782
      - source_labels: [__meta_kubernetes_pod_container_name,__address__]
        action: replace
        target_label: __address__
        regex: ^weave-npc;(.+?)(?::\d+)?$
        replacement: $1:6781
      - source_labels: [__meta_kubernetes_pod_container_name]
        action: replace
        target_label: job
---
apiVersion: v1
kind: Service
metadata:
  labels:
    name: prometheus
  name: prometheus
spec:
  selector:
    app: prometheus
  type: NodePort
  ports:
  - name: prometheus
    protocol: TCP
    port: 9090
    nodePort: 30900
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: prometheus
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus
  template:
    metadata:
      name: prometheus
      labels:
        app: prometheus
    spec:
      containers:
      - name: prometheus
        image: prom/prometheus:v1.3.0
        args:
          - '-config.file=/etc/prometheus/prometheus.yml'
        ports:
        - name: web
          containerPort: 9090
        volumeMounts:
        - name: config-volume
          mountPath: /etc/prometheus
      volumes:
      - name: config-volume
        configMap:
          name: prometheus

Weave Cloud Integration

Finally, you can configure your local Prometheus instance to push metrics to Weave Cloud by including the following fragment in the prometheus.yml above (after replacing <WEAVE_CLOUD_TOKEN> with your own token):

remote_write:
  url: http://frontend.dev.weave.works/api/prom/push
  basic_auth:
    password: <WEAVE_CLOUD_TOKEN>

For information on getting started with Weave Cloud metrics, including on how to obtain your Weave Cloud token, please go here.