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111 lines
3.8 KiB
Markdown
111 lines
3.8 KiB
Markdown
---
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title: Self-Hosted Prometheus Monitoring
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weight: 37
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---
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# Monitoring Hybrid/Private Cloud with Prometheus and Grafana
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| Time: 30 min | Level: Intermediate |
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| --- | ----------- |
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This tutorial will guide you through the process of setting up Prometheus and Grafana to monitor Qdrant databases running in a Kubernetes cluster used for Hybrid or Private Cloud.
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## Prerequisites
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This tutorial assumes that you already have a Kubernetes cluster running and a Qdrant database deployed in it, using either a Hybrid Cloud or Private Cloud deployment. You should also have `kubectl` and `helm` configured to interact with your cluster.
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## Step 1: Install Prometheus and Grafana
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If you haven't installed Prometheus and Grafana yet, you can use the [kube-prometheus-stack](https://artifacthub.io/packages/helm/prometheus-community/kube-prometheus-stack) Helm chart to deploy them in your Kubernetes cluster.
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A minimal example of installing the stack:
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```bash
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helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
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helm install prometheus prometheus-community/kube-prometheus-stack --namespace monitoring --create-namespace
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```
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This command will install Prometheus, Grafana, and all necessary components into a new `monitoring` namespace.
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## Step 2: Configure Prometheus to Scrape Qdrant Metrics
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To monitor Qdrant, you need to configure Prometheus to scrape metrics from the Qdrant database(s). You can do this by creating a `ServiceMonitor` resource in the host Kubernetes cluster.
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```yaml
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apiVersion: monitoring.coreos.com/v1
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kind: ServiceMonitor
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metadata:
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name: qdrant-cluster-exporter
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namespace: qdrant
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labels:
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release: prometheus
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spec:
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endpoints:
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- honorLabels: true
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interval: 30s
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port: metrics
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scheme: http
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scrapeTimeout: 55s
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jobLabel: app.kubernetes.io/name
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namespaceSelector:
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matchNames:
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- qdrant
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selector:
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matchLabels:
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app.kubernetes.io/instance: qdrant-cluster-exporter
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app.kubernetes.io/name: qdrant-cluster-exporter
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---
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apiVersion: monitoring.coreos.com/v1
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kind: ServiceMonitor
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metadata:
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name: qdrant-operator
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namespace: qdrant
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labels:
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release: prometheus
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spec:
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endpoints:
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- honorLabels: true
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interval: 30s
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port: metrics
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scheme: http
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scrapeTimeout: 55s
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jobLabel: app.kubernetes.io/name
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namespaceSelector:
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matchNames:
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- qdrant
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selector:
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matchLabels:
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app.kubernetes.io/name: operator
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```
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The example above assumes that your Qdrant database and the cloud platform exporter are deployed in the `qdrant` namespace. Adjust the `namespaceSelector` and `namespace` fields according to your deployment.
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## Step 3: Access Grafana
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Once Prometheus is configured to scrape metrics from Qdrant, you can access Grafana to visualize the metrics.
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Get the Grafana 'admin' user password by running:
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```bash
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kubectl --namespace monitoring get secrets prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 -d ; echo
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```
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Access the Grafana dashboard by port-forwarding:
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```bash
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export POD_NAME=$(kubectl --namespace monitoring get pod -l "app.kubernetes.io/name=grafana,app.kubernetes.io/instance=prometheus" -oname)
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kubectl --namespace monitoring port-forward $POD_NAME 3000
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```
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Now you can open your web browser and go to `http://localhost:3000`. Log in with the username `admin` and the password you retrieved earlier.
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## Step 4: Import Qdrant Dashboard
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Qdrant Cloud offers an example Grafana dashboard in the [Qdrant GitHub repository](https://github.com/qdrant/qdrant-cloud-grafana-dashboard). This comes with built-in views and graphs to help you get started monitoring your Qdrant clusters.
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To import the dashboard:
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1. In Grafana, go to "Dashboards" and click on "New" -> "Import".
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2. Copy and paste the dashboard JSON from the Qdrant GitHub repository.
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3. Click "Load" and then "Import".
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