As early indicated in Component of the Stack StackGres, at the moment, only supports Prometheus integration.

Monitoring, Observability and Alerting with Prometheus and Grafana

Prometheus natively includes the following services:

  • Prometheus Server: The core service
  • Alert Manager: Handle events and send notifications to your preferred on-call platform

Installing Community Prometheus Stack

If the user is willing to install a full Prometheus Stack (State Metrics, Node Exporter and Grafana), there is a community chart that provides this at kube-prometheus-stack installation instructions.

First, add the Prometheus Community repositories:

helm repo add prometheus-community
helm repo add stable
helm repo update

Create the monitoring namespace:

kubectl create namespace monitoring 

Install the Prometheus Server Operator:

helm install --namespace monitoring prometheus prometheus-community/kube-prometheus-stack --set grafana.enabled=true --version 12.10.6

StackGres provides more and advanced options for monitoring installation, see Operator installation with Helm in the Production installation session.

Once the operator is installed, take note of the generated secrets as you they are need to be specified at StackGres operator installation. By default are user=admin and password=prom-operator:

kubectl get secret prometheus-grafana \
    --namespace monitoring \
    --template '{{ printf "user = %s\npassword = %s\n" (index .data "admin-user" | base64decode) (index .data "admin-password" | base64decode) }}'

Grafana’s hostname also can be queried as:

kubectl get --namespace monitoring deployments prometheus-grafana -o json | jq -r ''

Re-routing services to different ports

In a production setup, is very likely that you will be installing all the resources in a remote location, so you’ll need to route the services through specific interfaces and ports.

For sake of simplicity, we will port-forward to all interfaces (, although we strongly recommend to only expose through internal network interfaces when dealing on production.

Exposing the Grafana UI

To access Grafana’s dashboard remotely, it can be done through the following step (it will be available at <your server ip>:9999):

GRAFANA_POD=$(kubectl get pods --namespace monitoring -l "" -o jsonpath="{.items[0]}")
kubectl port-forward "$GRAFANA_POD" --address 9999:3000 --namespace monitoring

Exposing the Prometheus Server UI

POD_NAME=$(kubectl get pods --namespace monitoring -l "app=prometheus" -o jsonpath="{.items[0]}")
kubectl --namespace monitoring port-forward $POD_NAME --address 9090

The Prometheus server serves through port 80 under prometheus-operator-server.monitoring.svc.cluster.local DNS name.

Exposing Alert Manager

Over port 80, Prometheus alertmanager can be accessed through prometheus-operator-alertmanager.monitoring.svc.cluster.local DNS name.

export POD_NAME=$(kubectl get pods --namespace monitoring -l "app=alertmanager" -o jsonpath="{.items[0]}")
kubectl --namespace monitoring port-forward $POD_NAME --address 9093

Pre-existing Grafana Integration and Pre-requisites

Integrating Grafana

If you already have a Grafana installation in your system you can embed it automatically in the StackGres UI by setting the property grafana.autoEmbed=true:

helm install --namespace stackgres stackgres-operator \
  --set grafana.autoEmbed=true

This method requires the installation process to be able to authenticate using administrative username and password to the Grafana’s API (see installation via helm for more options related to automatic embedding of Grafana).

Manual integration

Some manual steps are required in order to achieve such integration.

  1. Create Grafana dashboard for Postgres exporter and copy/paste share URL:

    Using the UI: Click on Grafana > Create > Import > Dashboard 9628

    Check the dashboard for more details.

  2. Copy/paste Grafana’s dashboard URL for the Postgres exporter:

    Using the UI: Click on Grafana > Dashboard > Manage > Select Postgres exporter dashboard > Copy URL

  3. Create and copy/paste Grafana API token:

    Using the UI: Grafana > Configuration > API Keys > Add API key (for viewer) > Copy key value

Installing Grafana and create basic dashboards

If you already installed the prometheus-community/kube-prometheus-stack you can skip this session. It was Get the source repository for the Grafana charts:

helm repo add grafana
helm repo update

And install the chart:

helm install --namespace monitoring grafana grafana/grafana

Get the admin credential:

kubectl get secret --namespace monitoring grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo

Expose your Grafana service at grafana.monitoring.svc.cluster.local (port 80) through your interfaces and port 3000 to login remotely (using above secret):

POD_NAME=$(kubectl get pods --namespace monitoring -l "," -o jsonpath="{.items[0]}")
kubectl --namespace monitoring port-forward $POD_NAME --address 3000

NOTE: take note of the Grafana’s URL grafana.monitoring.svc.cluster.local, which will be used when configuring StackGres Operator.

The following script, will create a basic PostgreSQL dashboard against Grafana’s API (you can change grafana_host to point to the remote location):

grafana_admin_cred=$(kubectl get secret --namespace monitoring grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo)
curl_grafana_api() {
  curl -sk -H "Accept: application/json" -H "Content-Type: application/json" -u "$grafana_credentials" "$@"
get_admin_settings() {
  # Not executed in the script, but useful to keep this
  curl_grafana_api -X GET  ${grafana_host}/api/admin/settings | jq .
dashboard_json="$(cat << EOF
  "dashboard": $(curl_grafana_api "$grafana_host/api/gnet/dashboards/$dashboard_id" | jq .json),
  "overwrite": true,
  "inputs": [{
    "name": "DS_PROMETHEUS",
    "type": "datasource",
    "pluginId": "prometheus",
    "value": "$grafana_prometheus_datasource_name"
grafana_dashboard_url="$(curl_grafana_api -X POST -d "$dashboard_json" "$grafana_host/api/dashboards/import" | jq -r .importedUrl)"
echo ${grafana_host}${grafana_dashboard_url}

The resulting URL will be the dashboard whether your PostgreSQL metrics will be show up.

Monitoring Setup validation

At this point, you should have ended with the following pods:

# kubectl get pods -n monitoring 
NAME                                                      READY   STATUS    RESTARTS   AGE
alertmanager-prometheus-kube-prometheus-alertmanager-0    2/2     Running   0          20m
grafana-7575c4b7b5-2cbvw                                  1/1     Running   0          14m
prometheus-grafana-5b458bf78c-tpqrl                       2/2     Running   0          20m
prometheus-kube-prometheus-operator-576f4bf45b-w5j9m      2/2     Running   0          20m
prometheus-kube-state-metrics-c65b87574-tsx24             1/1     Running   0          20m
prometheus-operator-alertmanager-655b8bc7bf-hc6fd         2/2     Running   0          79m
prometheus-operator-kube-state-metrics-69fcc8d48c-tmn8j   1/1     Running   0          79m
prometheus-operator-node-exporter-28qz9                   1/1     Running   0          79m
prometheus-operator-pushgateway-888f886ff-bxxtw           1/1     Running   0          79m
prometheus-operator-server-7686fc69bd-mlvsx               2/2     Running   0          79m
prometheus-prometheus-kube-prometheus-prometheus-0        3/3     Running   1          20m
prometheus-prometheus-node-exporter-jbsm2                 0/1     Pending   0          20m

Enable Prometheus Auto Binding in Cluster

To allow the operator discover available Prometheus and create required ServiceMonitors to store StackGres stats in existing instances of prometheus (only for those that are created through the Prometheus Operator) you have to set to true field .spec.prometheusAutobind in your SGCluster:

kind: SGCluster
  name: simple
  instances: 2
  postgresVersion: 'latest'
      size: '5Gi'
  prometheusAutobind: true