grafana-operator

README

Grafana Operator

A Kubernetes Operator based on the Operator SDK for creating and managing Grafana instances.

Current status

The Operator is available on Operator Hub.

It can deploy and manage a Grafana instance on Kubernetes and OpenShift. The following features are supported:

• Install Grafana to a namespace
• Import Grafana dashboards from the same or other namespaces
• Import Grafana datasources from the same namespace
• Install Plugins (panels) defined as dependencies of dashboards

Operator flags

The operator supports the following flags on startup. See the documentation for a full list. Flags can be passed as args to the container.

Supported Custom Resources

The following Grafana resources are supported:

• Grafana
• GrafanaDashboard
• GrafanaDatasource

all custom resources use the api group integreatly.org and version v1alpha1.

Grafana

Represents a Grafana instance. See the documentation for a description of properties supported in the spec.

GrafanaDashboard

Represents a Grafana dashboard and allows to specify required plugins. See the documentation for a description of properties supported in the spec.

GrafanaDatasource

Represents a Grafana datasource. See the documentation for a description of properties supported in the spec.

Running locally

You can run the Operator locally against a remote namespace using the operator-sdk:

Prerequisites:

• operator-sdk installed
• kubectl pointing to the local context. minikube automatically sets the context to the local VM. If not you can use kubectl config use <context> or (if using the OpenShift CLI) oc login -u <user> <url>

$ operator-sdk up local --namespace=<namespace> --operator-flags="<flags to pass>"

Grafana features not yet supported in the operator

Notifier provisioning

Grafana has provisioning support for multiple channels (notifiers) of alerts. The operator does currently not support this type of provisioning. An empty directory is mounted at the expected location to prevent a warning in the grafana log. This feature might be supported in the future.