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Yandex Monitoring
  • Getting started
    • Overview
    • Recording rules
    • Alerting rules
    • Reading and writing Kubernetes cluster metrics
  • Access management
  • Pricing policy
  • Terraform reference
  • Release notes

In this article:

  • Getting started
  • Installation from Yandex Cloud Marketplace
  • Installation using a Helm chart
  • Viewing charts based on metrics
  • Adding charts to dashboards
  • (Optional) Configuring alerts based on metrics
  • See also
  1. Yandex Managed Service for Prometheus®
  2. Reading and writing Kubernetes cluster metrics

Reading and writing Yandex Managed Service for Kubernetes cluster metrics with Prometheus Operator

Written by
Yandex Cloud
Improved by
Dmitry A.
Updated at November 27, 2025
  • Getting started
  • Installation from Yandex Cloud Marketplace
  • Installation using a Helm chart
  • Viewing charts based on metrics
  • Adding charts to dashboards
  • (Optional) Configuring alerts based on metrics
  • See also

Prometheus Operator with Yandex Monitoring support streamlines the installation of Prometheus Operator, a popular solution for Kubernetes cluster monitoring, providing integration with Yandex Monitoring. You can use it to collect, store, and read metrics from containers, applications, and the infrastructure. The system leverages the Prometheus data model and PromQL.

Getting startedGetting started

  1. Make sure that the security groups for the Managed Service for Kubernetes cluster and its node groups are configured correctly. If any rule is missing, add it.

    Warning

    The configuration of security groups determines the performance and availability of the cluster and the services and applications running in it.

  2. Create a service account with the monitoring.editor role.

  3. Create an API key for the service account:

    • If you want to install Prometheus Operator using Yandex Cloud Marketplace, create an API key in JSON format and save it to the sa-key.json file:

      yc iam api-key create \
         --service-account-name=<service_account_name> \
         --format=json | jq -c > sa-key.json
      

      Tip

      You can also automatically create a new API key during the app installation.

    • If you want to install Prometheus Operator using a Helm chart, run the following command and save the secret key you get:

      yc iam api-key create --service-account-name=<service_account_name>
      
  4. Install kubect and configure it to work with the new cluster.

  5. If you do not have a Prometheus workspace yet, create one:

    Management console
    1. Open the Monitoring home page.
    2. In the left-hand panel, select Prometheus.
    3. Click Create workspace.

Installation from Yandex Cloud MarketplaceInstallation from Yandex Cloud Marketplace

Management console
  1. Navigate to the folder dashboard and select Managed Service for Kubernetes.

  2. Click the name of the Kubernetes cluster you need and select the Marketplace tab.

  3. Under Application available for installation, select Prometheus Operator with Monitoring support and click Go to install.

  4. Configure the application:

    • Namespace: Create a new namespace, e.g., prometheus-operator-space. If you leave the default namespace, Prometheus Operator may work incorrectly.
    • Application name: Specify the application name.
    • Prometheus Workspace: Select a Prometheus workspace.
    • API key: Specify the contents of the sa-key.json file.
  5. Click Install.

  6. Wait for the application to change its status to Deployed.

Installation using a Helm chartInstallation using a Helm chart

  1. Install Helm v3.8.0 or higher.

  2. Get the Prometheus workspace ID:

    Management console
    1. Open the Monitoring home page.
    2. Select Prometheus on the left.
    3. Select a Prometheus workspace.
    4. This will open the General information tab displaying the workspace ID. Save the ID.
  3. To install a Helm chart with Prometheus Operator, run this command:

    helm pull oci://cr.yandex/yc-marketplace/yandex-cloud/prometheus/kube-prometheus-stack \
      --version 72.6.2-1 \
      --untar && \
    helm install \
      --namespace <namespace_for_Prometheus_Operator> \
      --create-namespace \
      --set prometheusWorkspaceId=<Prometheus_workspace_ID> \
      --set iam_api_key_value_generated.secretAccessKey=<secret_part_of_API_key> \
      prometheus ./kube-prometheus-stack/
    

    This command will also create a new namespace for Prometheus Operator.

    If you set namespace to the default namespace, Prometheus Operator may work incorrectly. Use a value different from all the existing namespaces, e.g., prometheus-operator-space.

    Note

    If you are using a Helm version below 3.8.0, append the export HELM_EXPERIMENTAL_OCI=1 && \ string to the command to enable Open Container Initiative (OCI) support in the Helm client.

  4. Make sure the Prometheus Operator pods have changed their status to Running:

    kubectl get pods --namespace=<namespace_for_Prometheus_Operator> \
       -l "release=prometheus"
    

Viewing charts based on metricsViewing charts based on metrics

Management console
  1. Open the Monitoring home page.

  2. In the left-hand panel, select Metrics.

  3. In the Data source list at the top, select Prometheus.

  4. Select a workspace.

  5. Enter a query in PromQL.

  6. For the chart to display several lines, click Add query and enter a new query.

  7. Click Execute query to build a chart.

    You can add the chart to the dashboard as a widget.

Adding charts to dashboardsAdding charts to dashboards

Management console
  1. Build a chart.
  2. At the top right, click Add to dashboard.
  3. Enter a name for your chart.
  4. Select a cloud and folder.
  5. Select an existing dashboard or create a new one.
  6. Select a chart adding option:
    • Add: To add the chart to the dashboard and stay in the Metrics section.
    • Add and edit: To add the chart to the dashboard and go to the Dashboards section. The chart will not be saved in Metrics.

Tip

You can create an empty dashboard and then add the charts to it.

(Optional) Configuring alerts based on metrics(Optional) Configuring alerts based on metrics

  1. Create a notification channel by selecting an available sending method.

  2. Set up the Alert Manager responsible for sending notifications:

    1. Open the Monitoring home page.

    2. Select Prometheus on the left.

    3. Select a Prometheus workspace.

    4. Navigate to the Alert manager configuration tab.

    5. Click Upload a configuration file and upload the configuration file in YAML format.

      Sample configuration file
      global:
        resolve_timeout: 5m
      route:
        receiver: telegram
        routes:
          - receiver: "null"
            matchers:
              - severity="none"
            continue: false
      
      receivers:
        - name: telegram
          yandex_monitoring_configs:
            - channel_names:
              - "<notification_channel_name>"
        - name: "null"
          yandex_monitoring_configs:
            - channel_names: []
      
  3. Add a test alerting rule:

    cat <<EOF | kubectl apply -f -
    apiVersion: monitoring.coreos.com/v1                                                        
    kind: PrometheusRule
    metadata:
      labels:
        release: kube-prometheus-stack
      name: test
    spec:
      groups:
      - name: test
        rules:
          - alert: Test
            annotations:
              description: this is a test alert
              summary: test alert
            expr: vector(1)
            labels:
              severity: warning
    EOF
    
  4. Wait until you get alerted through the selected notification channel or check the alert status in the management console:

    1. Open the Monitoring home page.
    2. Select Prometheus on the left.
    3. Select a Prometheus workspace.
    4. Navigate to the Managing rules tab.
    5. Click the test alert name.
    6. Navigate to the Alerts tab.
    7. Make sure the test alert status changed to FIRING.

See alsoSee also

  • Yandex Managed Service for Kubernetes

© 2025 Linux Foundation. All rights reserved. The Linux Foundation owns and uses registered trademarks. For a list of Linux Foundation trademarks, see Trademark Usage.

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