Hue is getting easy to run with its Docker container and Kubernetes Helm package. Hue metrics are useful for checking the load (how many users), slowness (average or percentile times taken by requests)… Those have been available via the /metrics page, but here is how to collect and aggregate this information in Kubernetes.
First we install the Prometheus operator via the add-on:
And see that the Prometheus operator is running, which powers the Prometheus pods in the monitoring namespace:
kubectl get pods -n monitoring NAME READY STATUS RESTARTS AGE alertmanager-main-0 2/2 Running 268 48d grafana-7789c44cc7-7c4pb 1/1 Running 125 48d kube-state-metrics-78c549dd89-kwmwg 4/4 Running 512 48d node-exporter-zlg4s 2/2 Running 259 48d prometheus-adapter-644b448b48-7t8rt 1/1 Running 131 48d prometheus-k8s-0 3/3 Running 364 47d prometheus-operator-7695b59fb8-k2qm2 1/1 Running 130 48d
To tell Prometheus how to get the metrics, we use a ServiceMonitor. Those metrics are available on the /metrics page of Hue via the Django Prometheus module.
Note that to expose this URL, Hue needs to have this property turned on:
Then we can check that Prometheus is scraping properly Hue: http://gethue:9090/targets
And charting them in the Graph tab: