Configure the OpenShift monitoring solution

This article provides instructions for configuring monitoring for Portworx deployments on OpenShift. With the OpenShift versions 4.12 or newer, Portworx uses OpenShift’s Prometheus deployment for monitoring, rather than deploying its own. Perform the steps below to integrate the following with OpenShift’s Prometheus deployment:

• Portworx
• Autopilot
• Grafana

Prerequisites

• Portworx Operator version 23.10.3 or newer.
• Autopilot version 1.3.13 or newer.

Configure the OpenShift Prometheus deployment

After upgrading your OpenShift cluster, follow these steps to integrate OpenShift’s Prometheus deployment with Portworx:

1. Create a cluster-monitoring-config ConfigMap in the openshift-monitoring namespace to integrate OpenShift’s monitoring and alerting system with Portworx:

   apiVersion: v1
   kind: ConfigMap
   metadata:
     name: cluster-monitoring-config
     namespace: openshift-monitoring
   data:
     config.yaml: |
       enableUserWorkload: true

   The enableUserWorkload parameter enables monitoring for user-defined projects in the OpenShift cluster. This action creates a prometheus-operated service in the openshift-user-workload-monitoring namespace.

2. Fetch the Thanos host, which is part of the OpenShift monitoring stack:

   oc get route thanos-querier -n openshift-monitoring -o json | jq -r '.spec.host'

   thanos-querier-openshift-monitoring.tp-nextpx-iks-catalog-pl-80e1e1cd66534115bf44691bf8f01a6b-0000.us-south.containers.appdomain.cloud

   Configure Autopilot using the above route host to enable its access to Prometheus's statistics

Configure Autopilot

important

When configuring Autopilot, the use of self-signed certificates for the default Ingress is supported in on-premises environments.

Edit the Autopilot spec within the Portworx manifest. Include the Thanos Querier host URL you retrieved in the step above. Replace <THANOS-QUERIER-HOST> with the actual host URL:

spec:
  autopilot:
    enabled: true
    image: <autopilot-image>
    providers:
    - name: default
      params:
        url: https://<THANOS-QUERIER-HOST>
      type: prometheus

This configuration tells Autopilot to use the OpenShift Prometheus deployment (via Thanos Querier) for metrics and monitoring.

Configure Grafana

You can connect to Prometheus using Grafana to visualize your data. Grafana is a multi-platform open source analytics and interactive visualization web application. It provides charts, graphs, and alerts.

1. Enter the following commands to download the Grafana dashboard and datasource configuration files:

curl -O https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/grafana-dashboard-config.yaml

% Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                Dload  Upload   Total   Spent    Left  Speed
100   211  100   211    0     0    596      0 --:--:-- --:--:-- --:--:--   596

curl -O https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/grafana-datasource-ocp.yaml

% Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                Dload  Upload   Total   Spent    Left  Speed
100  1625  100  1625    0     0   4456      0 --:--:-- --:--:-- --:--:--  4464

2. Create the grafana service account:

oc apply -f https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/grafana-service-account.yaml

3. The grafana service account was created alongside the Grafana instance. Grant it the cluster-monitoring-view cluster role:

oc -n kube-system adm policy add-cluster-role-to-user cluster-monitoring-view -z grafana

4. The bearer token for this service account is used to authenticate access to OpenShift Prometheus. Create a service account token secret:

oc -n kube-system create token grafana --duration=8760h

5. Modify the grafana-datasource-ocp.yaml file:

   • On the url: https://<THANOS_QUERIER_HOST> line, replace <THANOS_QUERIER_HOST> with the URL you retrieved in the Fetch the Thanos Querier route host section:

   • On the httpHeaderValue1: 'Bearer <BEARER_TOKEN>' line, replace <BEARER_TOKEN> with the bearer token value you created in the step above.

6. Create a configmap for the dashboard and data source:

oc -n kube-system create configmap grafana-dashboard-config --from-file=grafana-dashboard-config.yaml

oc -n kube-system create configmap grafana-source-config --from-file=grafana-datasource-ocp.yaml

7. Download and install Grafana dashboards using the following commands:

curl "https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/portworx-cluster-dashboard.json" -o portworx-cluster-dashboard.json && \
curl "https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/portworx-node-dashboard.json" -o portworx-node-dashboard.json && \
curl "https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/portworx-volume-dashboard.json" -o portworx-volume-dashboard.json && \
curl "https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/portworx-performance-dashboard.json" -o portworx-performance-dashboard.json && \
curl "https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/portworx-etcd-dashboard.json" -o portworx-etcd-dashboard.json

oc -n kube-system create configmap grafana-dashboards \
--from-file=portworx-cluster-dashboard.json \
--from-file=portworx-performance-dashboard.json \
--from-file=portworx-node-dashboard.json \
--from-file=portworx-volume-dashboard.json \
--from-file=portworx-etcd-dashboard.json 

8. Enter the following command to download and install the Grafana YAML file:

oc apply -f https://docs.portworx.com/samples/portworx-enterprise/k8s/pxc/grafana-ocp.yaml

9. Verify if the Grafana pod is running using the following command:

oc -n kube-system get pods | grep -i grafana

grafana-7d789d5cf9-bklf2                   1/1     Running   0              3m12s

10. Access Grafana by setting up port forwarding and browsing to the specified port. In this example, port forwarding is provided for ease of access to the Grafana service from your local machine using the port 3000:

oc -n kube-system port-forward service/grafana 3000:3000

11. Navigate to Grafana by browsing to http://localhost:3000.

12. Enter the default credentials to log in.

• login: admin
• password: admin