<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Grafana :: Tag :: Kubernetes training</title><link>https://k8s-school.fr/labs/k8s/en/tags/grafana/index.html</link><description/><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2025 Fabrice Jammes - Licensed under CC BY-SA 4.0</copyright><lastBuildDate>Sun, 25 Oct 2026 09:30:00 +1000</lastBuildDate><atom:link href="https://k8s-school.fr/labs/k8s/en/tags/grafana/index.xml" rel="self" type="application/rss+xml"/><item><title>Operators with OLM: the Grafana Operator</title><link>https://k8s-school.fr/labs/k8s/en/1_labs/openshift-olm/index.html</link><pubDate>Sun, 25 Oct 2026 09:30:00 +1000</pubDate><guid>https://k8s-school.fr/labs/k8s/en/1_labs/openshift-olm/index.html</guid><description>Author: Fabrice JAMMES (LinkedIn). Duration: 15 minutes of demo, 30-40 minutes of lab
Objective On OpenShift, operators are installed and upgraded by the Operator Lifecycle Manager (OLM), from the catalogs displayed in the web console. This page has two parts:
Demo, by the trainer: install the Grafana Operator from the web console, in All namespaces mode. Lab, by the trainees: find the objects OLM created (Subscription, InstallPlan, ClusterServiceVersion, OperatorGroup), create Grafana instances in their own namespace, and check that the operator keeps reconciling them. Both parts run on the OpenShift cluster shared by all trainees: switch to it first with kubectx &lt;my-openshift-context&gt;.</description></item></channel></rss>