Installing Grafana on Openshift for Kuadrant Observability.
To make the most out of Kuadrant on OpenShift, you can install Grafana and import example dashboards for enhanced observability. This guide demonstrates how to install and configure Grafana using the Grafana Operator on OpenShift, specifically using oc
commands. We'll also set up datasources to pull metrics from the OpenShift Thanos Query instance.
Prerequisites
- OpenShift version 4.17 (commands tested on this version)
- Kuadrant installed on your OpenShift cluster
oc
CLI tool installed and configured- User with
cluster-monitoring-view
role
Installing the Grafana Operator
Grafana can be installed and managed on OpenShift using the Grafana Operator. The operator is available via the community-operators
source in OpenShift.
Create a Subscription
to install the Grafana Operator:
cat << EOF | oc apply -f -
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
labels:
operators.coreos.com/grafana-operator.openshift-operators: ""
name: grafana-operator
namespace: openshift-operators
spec:
channel: v5
installPlanApproval: Automatic
name: grafana-operator
source: community-operators
sourceNamespace: openshift-marketplace
EOF
Note: The
v5
channel introduces changes that are not backward compatible with version 4 of the operator.
Creating a Grafana Instance
Next, create a Grafana Custom Resource (CR):
cat << EOF | oc apply -f -
apiVersion: grafana.integreatly.org/v1beta1
kind: Grafana
metadata:
labels:
dashboards: grafana
name: grafana
namespace: openshift-operators
spec:
config:
auth:
disable_login_form: 'false'
log:
mode: console
security:
admin_password: secret
admin_user: root
route:
metadata: {}
spec: {}
version: 10.4.3
EOF
Note: For simplicity, the admin username and password are set inline as
root
andsecret
respectively. Adjust these values as needed for your environment.
Configuring Grafana DataSource
The source of metrics for Kuadrant dashboards will be the Thanos Query instance in the OpenShift cluster. This Thanos instance provides important cluster metrics, as well as any metrics pushed from the user-workload Prometheus instance (which includes metrics from the gateway and Kuadrant components).
Note: User workload monitoring needs to be enabled to include metrics from user workloads. See the Openshift documentation for how to do this.
To allow Grafana to access Thanos Query, you can either use a user token or create a ServiceAccount token. In this guide, we'll use the token of the currently logged-in user.
Note: The user/serviceaccount must have the
cluster-monitoring-view
role. Depending on the type of account used, the token may expire after a set amount of time. For more information on accessing Thanos Query in an OpenShift cluster, refer to the OpenShift documentation.
Retrieve the user token and Thanos Query hostname:
TOKEN=$(oc whoami -t)
HOST=$(oc -n openshift-monitoring get route thanos-querier -o jsonpath={.status.ingress[].host})
Create the Grafana datasource:
cat << EOF | oc apply -f -
apiVersion: grafana.integreatly.org/v1beta1
kind: GrafanaDatasource
metadata:
name: thanos-query-ds
namespace: openshift-operators
spec:
datasource:
access: proxy
isDefault: true
jsonData:
httpHeaderName1: 'Authorization'
timeInterval: 5s
tlsSkipVerify: true
secureJsonData:
httpHeaderValue1: 'Bearer ${TOKEN}'
name: thanos-query-ds
type: prometheus
url: 'https://${HOST}'
instanceSelector:
matchLabels:
dashboards: grafana
EOF
Note: The token is included in plaintext in the
secureJsonData
section. For different authentication methods and best practices, consult the Grafana Operator documentation.
Accessing Grafana
Retrieve the Grafana route to access the UI:
oc -n openshift-operators get routes grafana-route -o jsonpath="https://{.status.ingress[].host}"
Open the provided URL in your web browser and log in using the credentials set earlier (root
/secret
).
Importing Kuadrant Dashboards
Import the Kuadrant dashboards into Grafana as detailed in the Kuadrant documentation.
If you have a gateway configured with Kuadrant policies, you should see activity on the various dashboards.
Further Reading
- Previous: Understanding Cyclomatic Complexity