Skip to main content

Prometheus

Prometheus is an open-source system monitoring and alerting toolkit originally built at SoundCloud. It is now a standalone open source project and maintained independently of any company. Prometheus's main features include a multi-dimensional data model, a flexible query language, efficient time series database, and modern alerting approach. For more information, visit the Prometheus website.

Pre-Requisites​

  1. Create a Kubernetes cluster.
  2. Install Retina DaemonSet (see Quick Installation).

Install Prometheus via Helm​

  1. In this example, we will install Prometheus via the community supported helm chart. If you already have this chart deployed, skip to step 3.
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update
  1. Install the Prometheus chart
helm install prometheus -n kube-system -f deploy/legacy/prometheus/values.yaml prometheus-community/kube-prometheus-stack

Or if you already have the chart installed, upgrade how you see fit, providing the new job name as an additional scrape config, ex:

helm upgrade prometheus -n kube-system -f deploy/legacy/prometheus/values.yaml prometheus-community/kube-prometheus-stack

Note: Grafana and kube-state metrics may schedule on Windows nodes, the current chart doesn't have node affinity for those components. Some manual intervention may be required.

Access Prometheus UI​

  1. Use port forwarding to accees Prometheus UI:
kubectl port-forward --namespace kube-system svc/prometheus-operated 9090
  1. Go to localhost:9090/targets to see the Retina Pods being discovered and scraped by Prometheus

Prometheus Retina Targets

Next steps​

Follow Configuring Grafana to visualise metrics in dashboards.