Skip to content

Kubernetes Setup for Prometheus and Grafana

License

Notifications You must be signed in to change notification settings

AIinstar/prometheus

 
 

Repository files navigation

CircleCI

Kubernetes Setup for Prometheus and Grafana

Quick start

To quickly start all the things just do this:

kubectl apply \
  --filename https://raw.githubusercontent.com/giantswarm/prometheus/master/manifests-all.yaml

This will create the namespace monitoring and bring up all components in there.

To shut down all components again you can just delete that namespace:

kubectl delete namespace monitoring

Default Dashboards

If you want to re-import the default dashboards from this setup run this job:

kubectl apply --filename ./manifests/grafana/import-dashboards/job.yaml

In case the job already exists from an earlier run, delete it before:

kubectl --namespace monitoring delete job grafana-import-dashboards

To access grafana you can use port forward functionality

kubectl port-forward --namespace monitoring service/grafana 3000:3000

And you should be able to access grafana on http://localhost:3000/login

More Dashboards

See grafana.net for some example dashboards and plugins.

  • Configure Prometheus data source for Grafana.
    Grafana UI / Data Sources / Add data source

    • Name: prometheus
    • Type: Prometheus
    • Url: http://prometheus:9090
    • Add
  • Import Prometheus Stats:
    Grafana UI / Dashboards / Import

    • Grafana.net Dashboard: https://grafana.net/dashboards/2
    • Load
    • Prometheus: prometheus
    • Save & Open
  • Import Kubernetes cluster monitoring:
    Grafana UI / Dashboards / Import

    • Grafana.net Dashboard: https://grafana.net/dashboards/162
    • Load
    • Prometheus: prometheus
    • Save & Open

Credit

Alertmanager configs and integration in this repository was heavily inspired by the implementation in kayrus/prometheus-kubernetes.

About

Kubernetes Setup for Prometheus and Grafana

Resources

License

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Smarty 62.8%
  • Shell 37.2%