K3s on AWS EC2 Setup in Minutes | K3s vs Minikube Explained

When most people start learning Kubernetes, they usually begin with Minikube.

And honestly, that’s what I did too.

But after trying K3s on an AWS EC2 instance, I realized something quickly:

👉 K3s feels much closer to a real-world environment while still being lightweight and beginner-friendly.

In this post, I’ll explain how I set up K3s on AWS EC2 in just a few minutes, compare it with Minikube, and share why K3s is becoming popular for lightweight Kubernetes deployments.

What is K3s?

K3s is a lightweight Kubernetes distribution created by Rancher Labs.

It is designed to:

• Use fewer system resources
• Be easier to install
• Run well on small servers and edge devices

Even though it’s lightweight, it still provides a real Kubernetes experience.

Why I Tried K3s Instead of Minikube

Minikube is great for learning Kubernetes locally.

But I wanted:

• A cleaner setup
• Better performance on smaller systems
• Something closer to production behavior

That’s when I tried K3s on an AWS EC2 instance.

The setup was surprisingly simple.

AWS EC2 Setup

For this setup, I used:

• Ubuntu EC2 instance
• Basic security group configuration
• Public IP access

Step 1: Launch EC2 Instance

I launched a small Ubuntu instance on AWS.

Important ports:

• 22 (SSH)
• 6443 (Kubernetes API if needed)

Step 2: Connect to the Server

ssh -i key.pem ubuntu@your-public-ip

Step 3: Install K3s

This is the part that impressed me.

The installation is literally a single command:

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

Within minutes, Kubernetes was running.

Step 4: Verify Cluster

sudo kubectl get nodes

Output:

NAME       STATUS   ROLES                  AGE   VERSION
ip-...     Ready    control-plane,master   ...

That’s it — Kubernetes cluster ready.

K3s vs Minikube

Here’s the practical difference I noticed.

Feature	K3s	Minikube
Setup Speed	Very fast	Moderate
Resource Usage	Lightweight	Heavier
Runs on EC2 Easily	Yes	Less common
Production-Like	More realistic	Mostly local learning
Multi-node Support	Easier	Limited/simple
Best For	Lightweight clusters	Local experimentation

Why K3s Feels Better on EC2

Minikube is mainly designed for local systems.

K3s, on the other hand:

• Runs directly on Linux
• Uses fewer resources
• Feels more like a real cluster

This makes it useful for:

• Learning
• Testing
• Small environments

Real Learning Advantage

One thing I liked about K3s is that it removes unnecessary complexity for beginners.

Instead of spending hours on setup, you can focus on:

• Pods
• Deployments
• Services
• Debugging

That makes learning Kubernetes much smoother.

Example: Deploying Nginx

After setup, I tested a simple deployment.

kubectl create deployment nginx --image=nginx

Check pods:

kubectl get pods

Expose service:

kubectl expose deployment nginx --type=NodePort --port=80

Is K3s Good for Beginners?

Yes — especially if:

• You want faster setup
• You are learning on cloud servers
• Your system resources are limited

It gives you real Kubernetes experience without heavy overhead.

⚠️ Important Note

K3s is lightweight, but Kubernetes concepts remain the same.

You still need to understand:

• Networking
• Deployments
• Services
• Debugging

Practical Video Walkthrough

I also recorded a full practical walkthrough showing:

• EC2 setup
• K3s installation
• Comparison with Minikube

You can watch it here:

Final Thoughts

Minikube is still a great tool for learning Kubernetes basics locally.

But if you want something lightweight that feels closer to a real cloud setup, K3s is definitely worth trying.

The fact that it can be installed in minutes makes it even more beginner-friendly.

What You Should Do Next

Try this yourself:

• Launch a small EC2 instance
• Install K3s
• Deploy a simple application

Hands-on practice makes Kubernetes much easier to understand.

👉 Bonus Tip

If you are learning DevOps or cloud, try multiple Kubernetes environments instead of sticking to only one setup tool.