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Prometheus collects metrics (e.g. node_memory_usage_bytes) from targets by scraping their HTTP metrics endpoints. Targets are organized into jobs, defined in the Prometheus config. Targets may expose counter, gauge, histogram, or summary metrics.

Here's a simple config from the Prometheus tutorial.

  scrape_interval: 15s
  - job_name: 'prometheus'
    scrape_interval: 5s
      - targets: ['localhost:9090']

On Kubernetes clusters, Prometheus is run as a Deployment, configured with a ConfigMap, and accessed via a Service or Ingress.

kubectl apply -f addons/prometheus -R

The ConfigMap configures Prometheus to discover apiservers, kubelets, cAdvisor, services, endpoints, and exporters. By default, data is kept in an emptyDir so it is persisted until the pod is rescheduled.


Exporters expose metrics for 3rd-party systems that don't natively expose Prometheus metrics.

  • node_exporter - DaemonSet that exposes a machine's hardware and OS metrics
  • kube-state-metrics - Deployment that exposes Kubernetes object metrics
  • blackbox_exporter - Scrapes HTTP, HTTPS, DNS, TCP, or ICMP endpoints and exposes availability as metrics

Queries and Alerts

Prometheus provides a basic UI for querying metrics and viewing alerts. Use kubectl to authenticate to the apiserver and create a local port-forward to the Prometheus pod.

kubectl get pods -n monitoring
kubectl port-forward prometheus-POD-ID 9090 -n monitoring

Visit to query expressions, view targets, or check alerts.

Prometheus Graph
Prometheus Targets
Prometheus Alerts

Use Grafana to view or build dashboards that use Prometheus as the datasource.