The Prometheus monitoring module: usage

An example of the module configuration

prometheus: |
  auth:
    password: xxxxxx
  retentionDays: 7
  storageClass: rbd
  nodeSelector:
    node-role/example: ""
  tolerations:
  - key: dedicated
    operator: Equal
    value: example

Writing Prometheus data to the longterm storage

Prometheus supports remote_write’ing data from the local Prometheus to a separate longterm storage (e.g., VictoriaMetrics). In Deckhouse, this mechanism is implemented using the PrometheusRemoteWrite Custom Resource.

Example of the basic PrometheusRemoteWrite

apiVersion: deckhouse.io/v1
kind: PrometheusRemoteWrite
metadata:
  name: test-remote-write
spec:
  url: https://victoriametrics-test.domain.com/api/v1/write

Example of the expanded PrometheusRemoteWrite

apiVersion: deckhouse.io/v1
kind: PrometheusRemoteWrite
metadata:
  name: test-remote-write
spec:
  url: https://victoriametrics-test.domain.com/api/v1/write
  basicAuth:
    username: blahblah
    password: dddddddd
  writeRelabelConfigs:
  - sourceLabels: [__name__]
    action: keep
    regex: prometheus_build_.*|my_cool_app_metrics_.*
  - sourceLabels: [__name__]
    action: drop
    regex: my_cool_app_metrics_with_sensitive_data

Connecting Prometheus to an external Grafana instance

Each ingress-nginx-controller has certificates that can be used to connect to Prometheus. All you need is to create an additional Ingress resource.

For the example below, it is presumed that Secret example-com-tls already exist in namespace d8-monitoring.

Names for Ingress my-prometheus-api and Secret my-basic-auth-secret are there for example. Change them to the most suitable names for your case.

apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
  name: my-prometheus-api
  namespace: d8-monitoring
  annotations:
    kubernetes.io/ingress.class: nginx
    nginx.ingress.kubernetes.io/backend-protocol: HTTPS
    nginx.ingress.kubernetes.io/auth-type: basic
    nginx.ingress.kubernetes.io/auth-secret: my-basic-auth-secret
    nginx.ingress.kubernetes.io/configuration-snippet: |
      proxy_ssl_certificate /etc/nginx/ssl/client.crt;
      proxy_ssl_certificate_key /etc/nginx/ssl/client.key;
      proxy_ssl_protocols TLSv1.2;
      proxy_ssl_session_reuse on;
spec:
  rules:
  - host: prometheus-api.example.com
    http:
      paths:
      - backend:
          serviceName: trickster
          servicePort: https
        path: /trickster/main
  tls:
  - hosts:
    - prometheus-api.example.com
    secretName: example-com-tls
---
apiVersion: v1
kind: Secret
metadata:
  name: my-basic-auth-secret
  namespace: d8-monitoring
type: Opaque
data:
  auth: Zm9vOiRhcHIxJE9GRzNYeWJwJGNrTDBGSERBa29YWUlsSDkuY3lzVDAK  # foo:bar

Next, you only need to add the data source to Grafana:

Set https://prometheus-api.<cluster-domain>/trickster/main/ as the URL.

Note that basic authorization is not sufficiently secure and safe. You are encouraged to implement additional safety measures, e.g., attach the nginx.ingress.kubernetes.io/whitelist-source-range annotation.
A considerable disadvantage of this method is the need to create an Ingress resource in the system namespace. Deckhouse does not guarantee the functionality of this connection method due to its regular updates.

Connecting an external app to Prometheus

The connection to Prometheus is protected using kube-rbac-proxy. To connect, you need to create a ServiceAccount with the necessary permissions.

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: app
  namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: app:prometheus-access
rules:
- apiGroups: ["monitoring.coreos.com"]
  resources: ["prometheuses/http"]
  resourceNames: ["main", "longterm"]
  verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: app:prometheus-access
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: app:prometheus-access
subjects:
- kind: ServiceAccount
  name: app
  namespace: default

Next, define the following job containing the curl request:

apiVersion: batch/v1
kind: Job
metadata:
  name: app-curl
  namespace: default
spec:
  template:
    metadata:
      name: app-curl
    spec:
      serviceAccountName: app
      containers:
      - name: app-curl
        image: curlimages/curl:7.69.1
        command: ["sh", "-c"]
        args:
        - >-
          curl -H "Authorization: Bearer $(cat /var/run/secrets/kubernetes.io/serviceaccount/token)" -k -f
          https://prometheus.d8-monitoring:9090/api/v1/query_range?query=up\&start=1584001500\&end=1584023100\&step=30
      restartPolicy: Never
  backoffLimit: 4

The job must complete successfully.