Grafana using Prometheus

This guide walks you through the steps required to monitor the performance and overall health of your Materialize instance using Prometheus and Grafana.

Before you begin

Ensure you have:

• A self-managed instance of Materialize installed with helm values observability.enabled=true, observability.podMetrics.enabled=true, and prometheus.scrapeAnnotations.enabled=true
• Helm version 3.2.0+ installed
• kubectl installed and configured

1. Download our Prometheus scrape configurations (prometheus.yml)

Download the Prometheus scrape configurations that we’ll use to configure Prometheus to collect metrics from Materialize:

 curl -o prometheus_scrape_configs.yml  https://raw.githubusercontent.com/MaterializeInc/materialize/refs/heads/self-managed-docs/v25.2/doc/user/data/monitoring/prometheus.yml

2. Install Prometheus to your Kubernetes cluster

1. Download the prometheus-community default chart values (values.yaml):

   curl -O https://raw.githubusercontent.com/prometheus-community/helm-charts/refs/heads/main/charts/prometheus/values.yaml
   

2. Within values.yaml, replace serverFiles > prometheus.yml > scrape_configs with our scrape configurations (prometheus_scrape_configs.yml).

3. Install the operator with the updated values.yaml:

   kubectl create namespace prometheus
   helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
   helm repo update
   helm install --namespace prometheus prometheus prometheus-community/prometheus \
   --values values.yaml
   

3. Optional. Visualize through Grafana

1. Install the Grafana helm chart following this guide.

2. Set up port forwarding to access the Grafana UI:

   MZ_POD_GRAFANA=$(kubectl get pods -n monitoring -l app.kubernetes.io/name=grafana -o custom-columns="NAME:.metadata.name" --no-headers)
   kubectl port-forward pod/$MZ_POD_GRAFANA 3000:3000 -n monitoring
   

   WARNING! The port forwarding method is for testing purposes only. For production environments, configure an ingress controller to securely expose the Grafana UI.

3. Open the Grafana UI on http://localhost:3000 in a browser.

4. Add a Prometheus data source. In the Grafana UI, under Connection > Data sources,

   • Click Add data source and select prometheus
   • In the Connection section, set Prometheus server URL to http://<prometheus server name>.<namespace>.svc.cluster.local:<port>(e.g. http://prometheus-server.prometheus.svc.cluster.local:80).

   

5. Download the following dashboards:

   Environment overview dashboard

   An overview of the state of different objects in your environment.

   # environment_overview_dashboard.json
   curl -O https://raw.githubusercontent.com/MaterializeInc/materialize/refs/heads/self-managed-docs/v25.2/doc/user/data/monitoring/grafana_dashboards/environment_overview_dashboard.json
   

   Freshness overview dashboard

   An overview of how out of date objects in your environment are.

   # freshness_overview_dashboard.json
   curl -O https://raw.githubusercontent.com/MaterializeInc/materialize/refs/heads/self-managed-docs/v25.2/doc/user/data/monitoring/grafana_dashboards/freshness_overview_dashboard.json
   

6. Import the dashboards using the Prometheus data source