Document Prometheus metrics endpoints
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---
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title: Monitoring with Prometheus
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menu_order: 105
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---
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Two endpoints are exposed: one for the Weave Net router, and, when deployed as
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a [Kubernetes Addon](/site/kube-addon.md), one for the [network policy
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controller](/site/kube-addon.md#npc).
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### Router Metrics
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The endpoint address is `localhost:6782`; the following metrics are
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exposed:
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* `weave_connections` - Number of peer-to-peer connections.
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* `weave_connection_terminations_total` - Number of peer-to-peer
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connections terminated.
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* `weave_ips` - Number of IP addresses.
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* `weave_max_ips` - Size of IP address space used by allocator.
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* `weave_dns_entries` - Number of DNS entries.
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* `weave_flows` - Number of FastDP flows.
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### Kubernetes Network Policy Controller Metrics
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The endpoint address is `localhost:6781`; the following metric is
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exposed:
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* `weavenpc_blocked_connections_total` - Connection attempts blocked
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by policy controller.
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# Static Configuration for Weave Net
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The following YAML fragment can be used in your Prometheus configuration to
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scrape the router metrics endpoint:
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```
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scrape_configs:
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- job_name: 'weave'
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scrape_interval: 15s
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static_configs:
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- targets: ['localhost:6782']
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```
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# Discovery Configuration for Kubernetes
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If you're running Weave in conjunction with Kubernetes, it is possible
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to discover the endpoints for all nodes automatically. The following
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Kubernetes config will install and configure Prometheus 1.3 on your
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cluster and configure it to discover and scrape the Weave endpoints:
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```
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---
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: prometheus
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data:
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prometheus.yml: |-
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global:
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scrape_interval: 15s
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scrape_configs:
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- job_name: 'weave'
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kubernetes_sd_configs:
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- api_server:
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role: pod
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relabel_configs:
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- source_labels: [__meta_kubernetes_namespace,__meta_kubernetes_pod_label_name]
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action: keep
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regex: ^kube-system;weave-net$
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- source_labels: [__meta_kubernetes_pod_container_name,__address__]
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action: replace
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target_label: __address__
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regex: ^weave;(.+?)(?::\d+)?$
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replacement: $1:6782
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- source_labels: [__meta_kubernetes_pod_container_name,__address__]
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action: replace
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target_label: __address__
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regex: ^weave-npc;(.+?)(?::\d+)?$
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replacement: $1:6781
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- source_labels: [__meta_kubernetes_pod_container_name]
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action: replace
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target_label: job
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---
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apiVersion: v1
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kind: Service
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metadata:
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labels:
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name: prometheus
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name: prometheus
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spec:
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selector:
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app: prometheus
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type: NodePort
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ports:
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- name: prometheus
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protocol: TCP
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port: 9090
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nodePort: 30900
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---
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apiVersion: extensions/v1beta1
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kind: Deployment
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metadata:
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name: prometheus
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: prometheus
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template:
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metadata:
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name: prometheus
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labels:
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app: prometheus
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spec:
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containers:
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- name: prometheus
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image: prom/prometheus:v1.3.0
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args:
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- '-config.file=/etc/prometheus/prometheus.yml'
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ports:
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- name: web
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containerPort: 9090
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volumeMounts:
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- name: config-volume
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mountPath: /etc/prometheus
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volumes:
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- name: config-volume
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configMap:
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name: prometheus
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```
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# Weave Cloud Integration
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Finally, you can configure your local Prometheus instance to push
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metrics to Weave Cloud by including the following fragment in the
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`prometheus.yml` above (after replacing `<WEAVE_CLOUD_TOKEN>` with
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your own token):
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```
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remote_write:
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url: http://frontend.dev.weave.works/api/prom/push
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basic_auth:
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password: <WEAVE_CLOUD_TOKEN>
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```
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For information on getting started with Weave Cloud metrics, including
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on how to obtain your Weave Cloud token, please go
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[here](https://github.com/weaveworks/cortex).
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