Kibana Kubernetes

This formula will help you to deploy and test a Kubernetes-ready Kibana cluster.

Prerequisites

You need to have a running Kubernetes cluster on your system (version 1.17 or newer). If you want to run it locally right on your PC or laptop, you can use minikube, kind, or docker-desktop. Personally, I use docker-desktop since I'm using Windows 10, it integrates seamlessly with the running Ubuntu instance on WSL2.

You can check the version using kubectl version command.

kubectl version

Client Version: version.Info{Major:"1", Minor:"17", GitVersion:"v1.17.0", GitCommit:"70132b0f130acc0bed193d9ba59dd186f0e634cf", GitTreeState:"clean", BuildDate:"2019-12-07T21:20:10Z", GoVersion:"go1.13.4", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"18", GitVersion:"v1.18.8", GitCommit:"9f2892aab98fe339f3bd70e3c470144299398ace", GitTreeState:"clean", BuildDate:"2020-08-13T16:04:18Z", GoVersion:"go1.13.15", Compiler:"gc", Platform:"linux/amd64"}

Make sure your kubectl has a kustomize command.

kubectl kustomize --help

# make sure running this command doesn't produce any errors.

You will also need to have an Elasticsearch running on Kubernetes. Configure kibana settings, point to your Elasticsearch URL. For seamless integration, you may check github.com/husniadil/elasticsearch-kubernetes to deploy an Elasticsearch cluster.

Deploying

You should fulfill the prerequisites above before proceeding.

# we're going to use a namespace called `monitoring`
# so first create it if you don't have one
kubectl create namespace monitoring

# clone this repo
git clone https://github.com/husniadil/kibana-kubernetes

# go to elasticsearch-kubernetes directory
cd elasticsearch-kubernetes

# apply kubernetes resource config
# note: dot after -k indicates current directory
kubectl apply -k .

# check status until you see that all pods have been run
# keep checking
kubectl get all -n monitoring

# once all pods are ready, you can access it via load-balancer host
curl http://kibana.monitoring.svc.cluster.local
# or load-balancer IP
curl http://10.103.9.167

Destroying

Destroying your cluster is simple as well. Make sure that you know what you are doing.

# note: dot after -k indicates current directory
kubectl delete -k .

Disclaimer

This script is provided as is and it's intended for educational purpose. For production-ready deployment, you have to know Kibana best practices, you may find some useful references below.

For reading

• https://github.com/fabric8io/elasticsearch-cloud-kubernetes
• https://www.digitalocean.com/community/tutorials/how-to-set-up-an-elasticsearch-fluentd-and-kibana-efk-logging-stack-on-kubernetes
• https://www.elastic.co/guide/en/kibana/7.9/settings.html
• https://www.elastic.co/guide/en/kibana/7.9/production.html