diff --git a/docs/managed-victoriametrics/how-to-monitor-k8s.md b/docs/managed-victoriametrics/how-to-monitor-k8s.md index 71e667438e..cc6142b9d0 100644 --- a/docs/managed-victoriametrics/how-to-monitor-k8s.md +++ b/docs/managed-victoriametrics/how-to-monitor-k8s.md @@ -25,6 +25,7 @@ In this guide we will be using [victoria-metrics-k8s-stack](https://github.com/V This chart will install `VMOperator`, `VMAgent`, `NodeExporter`, `kube-state-metrics`, `grafana` and some service scrape configurations to start monitoring kubernetes cluster components ## Prerequisites + - Active Managed VictoriaMetrics instance. You can learn how to signup for Managed VictoriaMetrics [here](https://docs.victoriametrics.com/managed-victoriametrics/quickstart.html#how-to-register). - Access to your kubernetes cluster - Helm binary. You can find installation [here](https://helm.sh/docs/intro/install/) @@ -34,27 +35,33 @@ Install the Helm chart in a custom namespace 1. Create a unique Kubernetes namespace, for example `monitoring`
+ ```bash kubectl create namespace monitoring ``` +
1. Create kubernetes-secrets with token to access your dbaas deployment
+ ```bash kubectl --namespace monitoring create secret generic dbaas-write-access-token --from-literal=bearerToken=your-token kubectl --namespace monitoring create secret generic dbaas-read-access-token --from-literal=bearerToken=your-token ``` +
You can find your access token on the "Access" tab of your deployment 1. Set up a Helm repository using the following commands:
+ ```bash helm repo add grafana https://grafana.github.io/helm-charts helm repo add prometheus-community https://prometheus-community.github.io/helm-charts helm repo add vm https://victoriametrics.github.io/helm-charts helm repo update ``` +
1. Create a YAML file of Helm values called dbaas.yaml with following content
@@ -96,12 +103,15 @@ Install the Helm chart in a custom namespace grafana: enabled: true ``` +
1. Install VictoriaMetrics-k8s-stack helm chart
+ ```bash helm --namespace monitoring install vm vm/victoria-metrics-k8s-stack -f dbaas.yaml -n monitoring ``` +
## Connect grafana @@ -112,15 +122,19 @@ Connect to grafana and create your datasource 1. Get grafana password
+ ```bash kubectl --namespace monitoring get secret vm-grafana -o jsonpath="{.data.admin-password}" | base64 -d ``` +
1. Connect to grafana
+ ```bash kubectl --namespace monitoring port-forward service/vm-grafana 3000:80 ``` +
1. Open grafana in your browser [http://localhost:3000/datasources](http://localhost:3000/datasources)