kibana-advanced

Kibana is an open source, browser based analytics and search dashboard for Elasticsearch. The Kibana Advanced Helm chart automates deployment and configuration of Kibana in Kubernetes clusters using Minimus images with hardened security and production-grade configuration.

Prerequisites

A subscription to the Minimus images included in the chart
A running Kubernetes cluster (v1.21 or higher is recommended)
kubectl installed and configured
Helm v3.8 or higher for OCI support (Installation instructions)
Cluster Admin privileges
An Elasticsearch cluster accessible from the Kubernetes cluster
Persistent storage available in your cluster

Try It Out

In this example we will deploy Kibana on a Kubernetes cluster using the Minimus Kibana Advanced Helm chart. Kibana will be configured with hardened security settings and ready to connect to your Elasticsearch cluster.

Step 1: Start Cluster

If you have a cluster to work with, skip this step. Otherwise, start a Minikube cluster. Deployment instructions

Step 2: Create Namespace

Create a namespace:

kubectl create ns kibana-advanced

Step 3: Deploy the Helm Chart

Deploy the Minimus Helm chart:

helm install my-kibana-advanced oci://helm.mini.dev/kibana-advanced \
  --version 12.1.10 \
  -n kibana-advanced \
  --wait

If you want to override the chart's defaults, go to the Values tab, save a copy locally with your changes. Deploy the chart with your overrides using -f values.yaml:

helm install my-kibana-advanced oci://helm.mini.dev/kibana-advanced \
  --version 12.1.10 \
  -f values.yaml \
  -n kibana-advanced \
  --wait

Step 4: Verify Kibana Advanced is Running

To check that the pod was successfully created run:

kubectl get pods -n kibana-advanced -l app.kubernetes.io/name=kibana

You should see output similar to:

NAME                          READY   STATUS    RESTARTS   AGE
my-kibana-advanced-kibana-0   1/1     Running   0          2m

Step 5: Test HTTP Endpoint

Connect to Kibana using port-forward:

kubectl port-forward svc/my-kibana-advanced-kibana 5601:5601 -n kibana-advanced

In another terminal, verify the HTTP endpoint is responding:

curl -sf http://localhost:5601

You should receive a response from Kibana. If you see the Kibana interface or a redirect, the deployment is fully operational.

Step 6: Clean Up

Uninstall the chart and delete the namespace to remove all resources:

helm uninstall my-kibana-advanced -n kibana-advanced
kubectl delete namespace kibana-advanced

Terms & Info

Trademark

This catalog is published by Minimus. All product names, logos, and marks, other than those belonging to Minimus, shown are owned by their respective rights holders and appear here only to identify the open source software each image contains. Minimus claims no ownership of those marks and implies no affiliation with, endorsement by, certification by, or sponsorship by any rights holder.

Disclaimer

Images are provided "as-is" without warranty of any kind. "Hardened" refers to the security configuration applied at the time of build and does not constitute a guarantee of ongoing security or absence of vulnerabilities. The free tier is provided without support, SLA, or guaranteed patching timelines. Security updates may be applied to paid subscriptions before or instead of free tier images. By pulling or using any image you agree to our Terms of Use.