Oke, langsung ke setup K3s multi-node (1 master + 1 worker) di Ubuntu 24.04. Saya buat simpel tapi tetap production-minded.

Daftar Isi

🧩 Topologi dan Spec Contoh

Master (server): 192.168.10.10 ( OS ubuntu 24.04 lts , CPU 4 GB , RAM 4 GB)
Worker (agent): 192.168.10.11 ( OS ubuntu 24.04 lts , CPU 2 GB , RAM 2 GB)

Pastikan:

Bisa saling ping
Port penting terbuka:
- 6443 (API server)
- 8472/UDP (Flannel VXLAN default)

⚙️ 1. Setup di Master Node

hostnamectl set-hostname master

curl -sfL https://get.k3s.io | sh -

Cek status:

sudo systemctl status k3s

Cek node:

sudo kubectl get nodes

🔑 Ambil Token Join

Token ini nanti dipakai worker:

sudo cat /var/lib/rancher/k3s/server/node-token

Contoh hasil:

K10d4f...::server:abcd1234

⚙️ 2. Setup di Worker Node

Di VM worker, jalankan:

hostnamectl set-hostname worker1

curl -sfL https://get.k3s.io | K3S_URL=https://192.168.10.10:6443 K3S_TOKEN=<TOKEN_DARI_MASTER> sh -

Contoh real:

curl -sfL https://get.k3s.io | \
K3S_URL=https://192.168.10.10:6443 \
K3S_TOKEN=K10d4f... \
sh -

✅ 3. Verifikasi dari Master

Balik ke master:

kubectl get nodes

Output normal:

NAME        STATUS   ROLES                  AGE   VERSION
master      Ready    control-plane,master   ...
worker1     Ready    <none>                 ...

🚀 4. Test Deploy Pod

Buat file:

nano nginx-deploy.yaml

Isi dengan ini:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 2
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:latest
        ports:
        - containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
  name: nginx-service
spec:
  type: NodePort
  selector:
    app: nginx
  ports:
    - port: 80
      targetPort: 80
      nodePort: 30080

🚀 2. Deploy ke K3s

Jalankan:

kubectl apply -f nginx-deploy.yaml

🔍 3. Cek status deployment

kubectl get pods -o wide

kubectl get svc

🌐 4. Akses dari browser

Kalau node IP kamu misalnya:

http://192.168.10.10:30080

atau worker juga bisa kalau routing jalan.

📊 5. Cek apakah pod jalan di node mana

kubectl get pods -o wide

Kamu akan lihat:

Pod 1 di master
Pod 1 di worker (kalau scheduling jalan normal)

🧠 Kalau mau test lebih “Kubernetes banget”

Scale deployment:

kubectl scale deployment nginx-deployment --replicas=5

Delete deployment:

kubectl delete -f nginx-deploy.yaml

Install Multinode Kubernetes dengan K3s