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Introduction to Kubernetes

Kubernetes is the leading open source container orchestration platform. Originally created by Google based on their need to support massive scale, Kubernetes is now under the purview of Cloud Native Computing Foundation (CNCF), a vendor-neutral foundation managing popular open source projects.

There are several basic and essential concepts that need to be understood:

1. A Kubernetes cluster consists of one or more nodes. Nodes are machines (VMs, physical servers, etc) that run the applications.

   Thai
   คลัสเตอร์ Kubernetes ประกอบด้วยหนึ่งโหนดขึ้นไป Nodes คือเครื่อง (VM, ฟิสิคัลเซิร์ฟเวอร์ ฯลฯ ) ที่รันแอ็พพลิเคชัน

2. A Pod is the smallest Kubernetes object that contains one or more containers, storage resources, network IP and other configuration.

   Thai
   Pod เป็นวัตถุ Kubernetes ที่เล็กที่สุดที่มีหนึ่งคอนเทนเนอร์ขึ้นไปทรัพยากรหน่วยเก็บข้อมูล IP เครือข่ายและการกำหนดค่าอื่น ๆ

3. A Service defines a set of Pods and how they are accessed.

   Thai
   ไดรฟ์ข้อมูล Service เป็นที่เก็บข้อมูลที่ใช้ร่วมกันสำหรับตู้คอนเทนเนอร์และรองรับหลายประเภท

4. A Volume is a shared storage for containers, and many different types are supported.

   Thai
   ไดรฟ์ข้อมูล Volume เป็นที่เก็บข้อมูลที่ใช้ร่วมกันสำหรับตู้คอนเทนเนอร์และรองรับหลายประเภท

5. These Kubernetes objects are defined in YAML format in .yaml files

   Thai
   วัตถุ Kubernetes เหล่านี้ถูกกำหนดในรูปแบบ YAML ในไฟล์. yaml

6. A command line interface tool, kubectl, is used to manage these objects via the Kubernetes API.

   Thai
   เครื่องมืออินเตอร์เฟสบรรทัดคำสั่ง kubectl, ใช้เพื่อจัดการวัตถุเหล่านี้ผ่าน Kubernetes API.

Simplified view of Kubernetes objects

There are many more concepts in Kubernetes, but the basic ones above should suffice to get started with Kubernetes.

There are many Kubernetes solutions available for different requirements from different providers, ranging from community tools for local testing, to production environments from cloud providers and enterprise vendors.

For the purpose of this tutorial we’ll use Minikube, a tool that runs a single-node Kubernetes cluster in a virtual machine for local development and testing. We’ll be using a Mac running macOS, but you can adapt the instructions for your OS.

Install VirtualBox

The first step is to install a VM platform. We’ll use the open source VirtualBox as the VM platform. Follow the download and installation instructions at https://www.virtualbox.org/wiki/Downloads

Install kubectl

The next step is to install the Kubernetes command-line tool, kubectl, which allows you to run commands against Kubernetes clusters e.g. deploy applications, inspect resources, view logs, etc.

1. Download and set executable:

curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl \
&& chmod +x ./kubectl

2. Move the binary to your PATH:

sudo mv ./kubectl /usr/local/bin/kubectl

3. Test to ensure the version you installed is up-to-date:

kubectl version

Full instructions are at https://kubernetes.io/docs/tasks/tools/install-kubectl/

Install Minikube

Now let’s install Minikube, a tool that runs a single-node Kubernetes cluster in a virtual machine on your laptop.

1. Download and set executable:

curl -Lo minikube https://storage.googleapis.com/minikube/releases/latest/minikube-darwin-amd64 \
 && chmod +x minikube

2. Move the binary to your PATH:

sudo mv minikube /usr/local/bin

Full instructions are available at https://kubernetes.io/docs/tasks/tools/install-minikube/

Start Minikube

1. Start Minikube and create a cluster: 

minikube start

The output will be similar to this:

minikube v1.8.1 on Darwin 10.14.6
Automatically selected the hyperkit driver
Downloading VM boot image ...
Creating hyperkit VM (CPUs=2, Memory=3072MB, Disk=20000MB) ...
Preparing Kubernetes v1.17.3 on Docker 19.03.6 ...
Launching Kubernetes ... 
Enabling addons: default-storageclass, storage-provisioner
Waiting for cluster to come online ...
Done! kubectl is now configured to use "minikube"

Test Minikube Installation

1. Run a sample HTTP application

kubectl run hello-minikube --image=gcr.io/google_containers/echoserver:1.4 --port=8080

2. Expose the service so that external connections can be made

kubectl expose deployment hello-minikube --type=NodePort

3. Inspect the pod

kubectl get pod

4. Once the STATUS is Running, test the service using curl

curl $(minikube service hello-minikube --url)

5. Delete the service and deployment

kubectl delete services hello-minikube
kubectl delete deployment hello-minikube

Full instructions are available at https://kubernetes.io/docs/setup/minikube/#quickstart

Deploy MySQL on Kubernetes

To deploy a MySQL database image, we’ll use an example YAML file provided in the kubernetes website k8s.io.

1. Create persistent storage using PersistentVolume and PersistentVolumeClaim

kubectl apply -f https://k8s.io/examples/application/mysql/mysql-pv.yaml

2. Deploy the MySQL image

kubectl apply -f https://k8s.io/examples/application/mysql/mysql-deployment.yaml

3. Inspect the deployment

kubectl describe deployment mysql
kubectl get pods -l app=mysql
kubectl describe pvc mysql-pv-claim

4. Run MySQL client to test

kubectl run -it --rm --image=mysql:5.6 --restart=Never mysql-client -- mysql -h mysql -ppassword

Full instructions are available at https://kubernetes.io/docs/tasks/run-application/run-single-instance-stateful-application/

Deploy Joget on Kubernetes

Once the MySQL database is running, let’s run a Docker image for Joget Enterprise that connects to that MySQL service.

1. Deploy joget image using an example YAML file. Download the contents of joget-dx-deployment.yaml into a file with the same name and run kubectl.

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2. Inspect the deployment

kubectl describe deployment joget
kubectl get pods -l app=joget

3. Once the STATUS is Running, get the URL for the service

minikube service joget --url

4. Access the URL in a browser with an additional /jw in the path to access the Joget App Center e.g. http://192.168.99.100:32496/jw

You now have a running installation of Joget, and you’ll be able to visually build a full app in 30 minutes without coding.

Scale Joget Deployment

Now we can demonstrate how Kubernetes can be used to manually increase and decrease the number of Pods running.

1. Scale the deployment to 2 pods (called replicas)

kubectl scale --replicas=2 deployment joget

2. Examine the running pods, and you should see 2 pods running Joget

kubectl get pods
NAME                     READY STATUS RESTARTS   AGE
joget-7d879db895-c9sbb   1/1 Running 0    27s
joget-7d879db895-wpnsf   1/1 Running 0    37m
mysql-7b9b7999d8-lk9gq   1/1 Running 0    65m

3. Scale the deployment down to 1 pod

kubectl scale --replicas=1 deployment joget

4. Examine the running pods, and you should now see 1 pod running Joget.

kubectl get pods

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