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Volcengine Managed Service for Prometheus

Volcengine Managed Service for Prometheus

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    • Volcengine Managed Service for PrometheusIntegration GuidePrometheus ecosystem integrationExporter integrationElasticsearch exporter integration
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Exporter integration
Elasticsearch exporter integration
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Elasticsearch exporter integration
VMP monitors the operational status of Elasticsearch by using the exporter. This topic describes how to deploy elasticsearch-exporter in a cluster and how to monitor Elasticsearch.​
Prerequisites​
  • VMP​
  • VKE​
  • A Volcano Engine root user has been created, and VKE has been activated.​
  • The VKE cluster has been integrated with VMP. For details, see VKE integration.​
  • Grafana has been deployed and integrated with the workspace.​
Procedure​
Step 1: Use a secret to configure the Elasticsearch connection string​
  1. Log in to the VKE console.​
  1. Click Cluster in the left navigation pane.​
  1. On the cluster list page, click the name of the cluster that you want to configure.​
  1. In the left navigation pane of the cluster details page, click Configurations > Secret. On the page that appears, click Create with Yaml to configure a secret.​
​
apiVersion: v1​
kind: Secret​
metadata:​
name: es-secret-demo # Specify the secret name.​
namespace: volcano-metrics # Specify the namespace of the secret.​
type: Opaque​
stringData:​
esURI: <proto>://<user>:<password>@<es-address>:<port> # Configure the link of Elasticsearch, which consists of the username, password, address, and port number.​
​
Step 2: Deploy elasticsearch-exporter​
  1. In the left navigation pane of the cluster details page, click Workload > Deployment.​
  1. Click Create with Yaml to deploy elasticsearch-exporter.​
​
apiVersion: apps/v1​
kind: Deployment​
metadata:​
name: es-exporter # Specify the name of the exporter.​
namespace: volcano-metrics # Specify the namespace of the exporter.​
labels: ​
app-name: es-exporter # Configure the labels of the exporter.​
spec:​
replicas: 1 # Specify the number of replicas for the exporter.​
selector:​
matchLabels:​
app-name: es-exporter # Change the name based on your business requirements. It is recommended to add information about the Elasticsearch instance.​
template:​
metadata:​
labels:​
app-name: es-exporter # Change the name based on your business requirements. It is recommended to add information about the Elasticsearch instance.​
spec:​
containers:​
- env:​
- name: ES-URI # Use a secret to specify the address information of the Elasticsearch instance.​
valueFrom: ​
secretKeyRef:​
name: es-secret-demo​
key: esURI​
- name: ES-ALL # Specify whether to collect all metrics of Elasticsearch.​
value: "ture"​
image: bitnami/elasticsearch-exporter:latest # Pull the exporter image from Docker Hub.​
imagePullPolicy: IfNotPresent​
name: es-exporter # Specify the container name.​
ports:​
- containerPort: 9114 # Specify the container port number.​
name: metric-port # Specify the container port name.​
dnsPolicy: ClusterFirst​
restartPolicy: Always​
terminationGracePeriodSeconds: 30​
​
tip​
In this example, ES-ALL is used to collect all metrics of Elasticsearch. You can also adjust the collection scope by specifying the appropriate parameters. For details, see elasticsearch_exporter.​
Step 3: Configure a collection rule​
  1. In the left navigation pane of the cluster details page, click Workload > Resource Explorer.​
  1. Click Create with Yaml to configure a collection rule by using PodMonitor.​
  • Select Custom from the Type list.​
  • Enter the YAML configuration in the Yaml field.​
​
apiVersion: monitoring.coreos.com/v1​
kind: PodMonitor​
metadata:​
name: es-exporter # Specify the name of PodMonitor.​
namespace: volcano-metrics # Specify the namespace of PodMonitor.​
labels: ​
volcengine.vmp: "true" # Configure the labels for PodMonitor to allow the labels to be identified by prometheus-agent.​
spec:​
podMetricsEndpoints:​
- interval: 30s​
port: metric-port # Specify the container port name of the exporter.​
path: /metrics # Specify the URI path for metric exposure. The value is /metrics by default if it is not specified.​
relabelings: # Configure metric relabeling. If this parameter is not required, it can be omitted.​
- action: replace​
sourceLabels:​
- instance​
regex: (.*)​
targetLabel: instance​
replacement: 'ES-xxxxxx' # Specify the ID of the Elasticsearch instance.​
namespaceSelector:​
matchNames: ​
- volcano-metrics # Specify the namespace of the exporter.​
selector: ​
matchLabels:​
app-name: es-exporter # Specify the label value of the exporter to locate and select the target pod.​
​
Validate results​
  1. Execute the following command to configure Grafana port forwarding:​
​
kubectl port-forward service/grafana 3000:3000 -n volcano-metrics​
​
  1. Open a browser in your local environment (Linux/Mac), enter localhost:3000 into the address bar to go to the Grafana login interface. Use the default username admin, with the password admin, to log in.​
  • ​alt​​
  1. After you log in to Grafana, you can create a dashboard to view the metric information of Elasticsearch.​
  • ​​​
tip​
For detailed parameters of elasticsearch-exporter, refer to elasticsearch_exporter.​
​
Last updated: 2026.10.10 10:16:50